4,900 AI Head jobs in the United States

Position- Artificial intelligence/Machine Learning
Duration-Contract
Location- San Antonio, TX

JD

• Strong background in banking, nonlinear Client modeling experience and Client ops experience.
• GenAI is plus.
• Machine learning engineer: responsible for researching, building, and designing the artificial intelligence responsible for machine learning and maintaining and improving existing artificial intelligence systems.
• 8 to 10 Years

Please note this role is Hybrid (2 days/week in office)

Role Overview

We are seeking a highly analytical and technically proficient ML/AI Engineer to join our ARC team. This role is ideal for someone with a strong foundation in mathematics, statistics, and programming, and a passion for applying AI to solve complex financial problems. You will work to develop AI/ML/DS features for enterprise-wide AI products, develop models, optimize strategies, and contribute to the evolution of our AI-powered financial systems.

What will you do:

• Design and develop machine learning models (Supervised, Unsupervised, and Reinforcement Learning), AI (Generative models and agent orchestration) models, and deep learning models (e.g., Neural Networks and autoencoders).

• Run machine learning tests and experiments.

• Train and retrain systems to prevent drift and optimize results.

• Solve complex problems with multi-layered data sets, extend existing ML frameworks (Scikit-Learn, XGBoost, Tensorflow) and AI frameworks (Keras, LangChain).

• Leverage and develop advanced analytics models (network based, forecasting, rules-based), implement said algorithms, and build tools to apply them.

• Turn structured, semi-structured and unstructured data into useful information

• Develop ML/AI algorithms to analyze huge volumes of historical data to derive insights, make decisions, and form predictions.

• Run tests, perform statistical analysis, and interpret test results.

• Contribute to shaping the digital foundations: (Hypergraph) Scenario Engine and Network based Methods: graph-based modeling tool that maps relationships between entities and simulates cascading scenarios; Chatbots (i.e., Distribution); Semantic Engine: AI layer that enables meaning-based search as opposed to keyword search.

• Conduct large-scale analysis of information to discover patterns and trends by combining different models and algorithms.

• Get insights from data (descriptive, attribution).

• Perform Topological Data Modeling, Causality, Variable Importance Analysis, Attribution modeling, Regression.

What you need to succeed:

• Master’s or Ph.D. in Mathematics, Statistics, Computer Science, Data Science, Physics, AI, Machine Learning or a related field.

• Experience in model development (ML/ data science, AI/GenAI) within financial services or technology sectors.

• Proficiency in Python and SQL, TensorFlow, PyTorch, XGBoost, scikit-learn

• Strong grasp of artificial intelligence and machine learning frameworks and stacks.

• Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines is advantageous.

• Intellectual curiosity and adaptability to emerging AI and quant finance trends.

• Strong communication skills to explain complex models to non-technical stakeholders.

• Ability to work independently and collaboratively in a fast-paced, multidisciplinary environment.

• Attention to detail and a rigorous approach to model validation and testing.

Salary:

$88,800.00 - $165,600.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Please note this role is Hybrid (2 days/week in office)

Role Overview

We are seeking a highly analytical and technically proficient ML/AI Engineer to join our ARC team. This role is ideal for someone with a strong foundation in mathematics, statistics, and programming, and a passion for applying AI to solve complex financial problems. You will work to develop AI/ML/DS features for enterprise-wide AI products, develop models, optimize strategies, and contribute to the evolution of our AI-powered financial systems.

What will you do:

• Design and develop machine learning models (Supervised, Unsupervised, and Reinforcement Learning), AI (Generative models and agent orchestration) models, and deep learning models (e.g., Neural Networks and autoencoders).

• Run machine learning tests and experiments.

• Train and retrain systems to prevent drift and optimize results.

• Solve complex problems with multi-layered data sets, extend existing ML frameworks (Scikit-Learn, XGBoost, Tensorflow) and AI frameworks (Keras, LangChain).

• Leverage and develop advanced analytics models (network based, forecasting, rules-based), implement said algorithms, and build tools to apply them.

• Turn structured, semi-structured and unstructured data into useful information

• Develop ML/AI algorithms to analyze huge volumes of historical data to derive insights, make decisions, and form predictions.

• Run tests, perform statistical analysis, and interpret test results.

• Contribute to shaping the digital foundations: (Hypergraph) Scenario Engine and Network based Methods: graph-based modeling tool that maps relationships between entities and simulates cascading scenarios; Chatbots (i.e., Distribution); Semantic Engine: AI layer that enables meaning-based search as opposed to keyword search.

• Conduct large-scale analysis of information to discover patterns and trends by combining different models and algorithms.

• Get insights from data (descriptive, attribution).

• Perform Topological Data Modeling, Causality, Variable Importance Analysis, Attribution modeling, Regression.

What you need to succeed:

• Master’s or Ph.D. in Mathematics, Statistics, Computer Science, Data Science, Physics, AI, Machine Learning or a related field.

• Experience in model development (ML/ data science, AI/GenAI) within financial services or technology sectors.

• Proficiency in Python and SQL, TensorFlow, PyTorch, XGBoost, scikit-learn

• Strong grasp of artificial intelligence and machine learning frameworks and stacks.

• Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines is advantageous.

• Intellectual curiosity and adaptability to emerging AI and quant finance trends.

• Strong communication skills to explain complex models to non-technical stakeholders.

• Ability to work independently and collaboratively in a fast-paced, multidisciplinary environment.

• Attention to detail and a rigorous approach to model validation and testing.

Salary:

$88,800.00 - $165,600.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent excited to join that effort. To learn more about our exciting organization, please visit us at

We are seeking an Artificial Intelligence/Machine Learning Developer to join our team in Ashburn, Virginia to support the ongoing modernization and maintenance systems for the Department of Homeland Security (DHS), Customs and Border Protection (CBP).

Qualified applicants may be subject to a security investigation and must meet minimum qualifications for access to classified information. This is a highly technical position; individuals will be screened by peers in a technical review of skills and experience.

Essential Duties and Responsibilities:

Drive a big data approach to execute government requirements to manage and enrich data to gather new insights. As the AI/ML developer, an ideal candidate will be part of a team to provide consultative, architectural, program, and engineering support for a federal customer.

• This is a client-facing position working remote or hybrid, subject to the requirements established by the CBP customer.
• Develop, train, and deploy advanced AI/ML and Gen-AI models.

• Design and implement innovative AI solutions to address complex business challenges using techniques such as natural language processing and large language models.
• Optimize model performance, ensuring accuracy, efficiency, and scalability.
• Develop and maintain user-friendly AI applications and interfaces, including chatbots, virtual assistants, and generative content tools.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
• Stay up to date with the latest advancements in AI/ML and emerging technologies, such as generative AI and reinforcement learning.
• Conduct research and experiments to explore new AI techniques and applications, including prompt engineering, Advanced RAGs and fine-tuning LLMs.
• Ensure compliance with data privacy and security regulations, especially when dealing with sensitive data and generative AI outputs.
• This role will be responsible for briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management.

Work Experience and Job Skills:

• 3+ years of experience in the Information Technology field focusing on AI/ML engineering projects, MLOps and DevSecOps and technical architecture specifically.
• Proficiency in developing, deploying, and fine-tuning generative AI models, including large language models (LLMs).
• Strong proficiency in programming languages such as Python, R, Java and C/C++ (optional)
• Experience with machine learning and generative AI frameworks.
• Experience with natural language processing techniques (e.g., text classification, language generation).
• Solid understanding of any of the cloud platforms (e.g., AWS, Azure, GCP) and deployment strategies.
• Solid understanding of MLOps and DevSecOps practices for deploying AI-ML models and applications
• Proficiency in any front-end development technologies (e.g., React, Angular, Vue.js, HTML, CSS, JavaScript).
• Knowledge of database systems (e.g., SQL, NoSQL, Vector Database, Graph Database) and data warehousing concepts.
• An understanding and competency surrounding data storage, accesses, and loading.
  • Databases: PostgreSQL, NoSQL, Vector Databases, Graph Databases etc.
  • ETL/ELT Concepts
  • Data warehouse concepts
  • SQL
• Competency in data exploration, analytics, and feature engineering. (Python Specific)
  • Pandas / NumPy / Polars / PySpark
  • Plotly / Matplotlib (some form of data visualization)
  • Data encoding / normalizing / regularizing / etc.
• Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ability to apply to real world data sets and problems.
• Proficiency in ML Modeling - Scikit-Learn, Tensorflow, Keras, Pytorch.
• Proficiency in NLP Tools SpaCy, ThinC, Gensim.
• Knowledge of Gen-AI Tools Hugging Face models, OpenAI models, Grok.
• General competency in various ML disciplines like Classification, Forecasting, Transformers, Generative, Anomaly Detection and Deep Learning.
• Enthusiastic, proactive, positive attitude with great listening skills, high integrity, and the ability to work effectively in a team environment.
• Adaptability to changing priorities and a willingness to learn and grow are essential.
• Excellent organizational skills, and ability to effectively manage concurrent projects.
• Comprehensive problem-solving skills with exceptional attention to detail.
• Ability to learn, evolve, think creatively and proactively.
• Able to work under pressure (at times) and to be extremely flexible with changing priorities
• Ability to work independently and in a team setting, take ownership of and complete relatively complex tasks, effectively using available resources, as needed, with minimal guidance.

Education:

• Bachelor's Degree in Computer Science, Information Technology Management or Engineering is preferred. Alternative work-related experience, Military Duty, and/or specialized or higher education may be substituted.

Certificates, Licenses and Registrations:

• This federal program requires the candidates to be a United States Citizen.
• Must have a current CBP BI clearance or be eligible to obtain one.
• Any related systems engineering, or related technical certifications are desired.
• AWS/Azure/GCP AI/ML certifications are preferred but not required.

Communication Skills:

• Must have excellent written and verbal communication skills
• Ability to convey technical information to non-technical individuals.
• Demonstrated experience communicating effectively across internal and external organizations.
• Must work well in a matrixed team environment.

Travel:

• On-site in Ashburn, VA.

Environmental Requirements:

• Mainly sedentary; in an office environment
• May be required to lift up to ten (10) pounds
• Flexible in working extended hours

The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position.

Please note: Candidate(s) will be required to go through pre-employment screening.

Unissant, Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets)

Since 2010 SynergisticIT has helped Jobseekers get employed in the tech Job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients.
The Tech Job market has been affected by massive layoffs and since 2021 there have been more than 600,000.00 tech layoffs.
The Job market is Hyper Competitive. For 1 position candidates or more are applying and laid off job seekers are also competing for entry level Job positions.

Please see the below links to know more about Synergisticit and some useful tips

Synergisticit Pics /Salaries of Successful Candidates

Synergisticit at Oracle Cloudworld 2023

Synergisticit at Gartner Data & Analytics summit

Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT

Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT

We regularly interact with the Top Tech companies to give our candidates a competitive advantage.
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few.
We are continuously looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for full time positions with clients.

Who Should Apply? Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
We need Data Science/Machine learning/Data Analyst and Java Full stack candidates

Preferred SKILLS For Java /Full stack/Devops Positions
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Knowledge of Core Java , javascript , C++ or software programming
Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience
For data Science/Data Analyst/AI/Machine learning Positions
Preferred SKILLS
Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude
Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools
Candidates lacking technical skills can research our other programs which can assist in landing a Job
If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.
No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates

Why Join Rincon Research Corporation (RRC)?

At Rincon Research Corporation, our primary business is innovating, developing, and fielding digital signal processing (DSP) products and services for the United States Defense and Intelligence Communities in support of national security.

Rincon Research Corporation (RRC), an employee-owned company, is seeking an experienced AI/ML developer to join Rincon Research Corporation's elite team of innovators creating next-generation AI solutions for U.S. Defense and Intelligence Communities. Your code will directly impact national security and be deployed in real-world, mission-critical environments. This position is different as you will work Cutting-Edge Technical Challenges, have a Direct Mission Impact, experience Cross Functional Collaboration, and a Rapid innovation Cycle. You will work on problems that push the boundaries of AI, distributed systems, and high-performance computing. You'll research and implement advanced algorithms that haven't been solved elsewhere. You will see your software deployed to front-line facilities where it makes a measurable difference. Get direct feedback from users whose missions depend on your work. You will collaborate with brilliant computer scientists, electrical engineers, and mathematicians in a true R&D environment where technical excellence is the standard. And from research to deployment, you'll own the entire technical stack and see your innovations go live quickly.

Come join the team that is providing cutting edge intelligence analysis and operations support for the future!

What are the primary responsibilities for the AI/ML position?

• Design/architect, develop, test, deploy, and operate fully integrated software; integrate AI algorithms into software applications
• Write, test, deploy code. Convert machine learning application programming interfaces to make them accessible to existing software
• Collaborate and communicate effectively with project managers, multi-disciplinary engineers, stakeholders, and customers
• Communicate technical ideas and work closely with other senior members of the team.
• Demonstrate high-level proficiency in at least one of the following: Golang, Rust, Python, or C/C++
• Deep understanding of data structures, algorithms, and modern design patterns
• Proven ability to architect scalable, maintainable software systems
• Experience building production-quality APIs and integrating complex services

What required background will make you successful?

• Ability to obtain and maintain TS/SCI security clearance and polygraph
• US CITIZENSHIP REQUIRED
• Bachelor's/Master's/PhD in Computer Engineering or Computer Science
• 5 to 12 years of software engineering experience with increasing responsibility
• Track record of delivering complex projects with minimal supervision
• Ability to translate technical concepts to diverse stakeholders
• Demonstrated ability to communicate technical findings to diverse audiences
• Experience working effectively in multidisciplinary teams
• Comfort with rapidly evolving technologies and mission requirements
• Attention to detail and precision in analysis and validation processes

A key responsibility is maintaining professional currency with the latest technologies, tools, and methodologies and experimenting with new technologies to incorporate innovative solutions into RRC projects. You are encouraged and expected to propose ideas that you believe will improve the applications and frameworks within which you are working. The ability to accomplish tasks unsupervised with minimal direction and the ability to self-start is a critical expectation.

Preferred Skills:

• Current and active Top-Secret Clearance with a polygraph
• Cloud & DevOps Expertise: AWS, Docker, Kubernetes, CI/CD pipelines
• Linux Proficiency: Deep command-line and systems administration skills
• Agile Leadership: Experience leading technical teams in fast-paced environments
• Enterprise Automation: Building workflows that scale across large organizations
• Mentor Rising Talent: Senior AI/ML Developers are expected to guide junior developers and shape the next generation of defense technologists
• Drive Technical Vision: Propose and implement innovations that improve our entire technology stack
• Stay on the Bleeding Edge: Experiment with emerging technologies and incorporate breakthrough solutions
• Cross-Functional Impact: Work across systems engineering, development, testing, deployment, and operations

Where is the position located?

This position is located at our Tucson, Arizona office

What benefits does RRC offer?

• 100% employer-paid premiums for family medical and dental insurance, employee life insurance, short-term and long-term disability (STD & LTD)
• Flexible reimbursement spending accounts for medical expense and dependent care
• Immediate participation and vesting in the company's Employee Stock Ownership Plan (ESOP) and 401(k) Plan
• Employer contributions to RRC's ESOP
• Employer matching contributions to the company's 401( k) Plan
• Employer discretionary contributions to the company's 401(k) Plan

Rincon Research Corporation is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

Please note this role is Hybrid (2 days/week in office)
**Role Overview**
We are seeking a highly analytical and technically proficient ML/AI Engineer to join our ARC team. This role is ideal for someone with a strong foundation in mathematics, statistics, and programming, and a passion for applying AI to solve complex financial problems. You will work to develop AI/ML/DS features for enterprise-wide AI products, develop models, optimize strategies, and contribute to the evolution of our AI-powered financial systems.
**What will you do:**
+ Design and develop machine learning models (Supervised, Unsupervised, and Reinforcement Learning), AI (Generative models and agent orchestration) models, and deep learning models (e.g., Neural Networks and autoencoders).
+ Run machine learning tests and experiments.
+ Train and retrain systems to prevent drift and optimize results.
+ Solve complex problems with multi-layered data sets, extend existing ML frameworks (Scikit-Learn, XGBoost, Tensorflow) and AI frameworks (Keras, LangChain).
+ Leverage and develop advanced analytics models (network based, forecasting, rules-based), implement said algorithms, and build tools to apply them.
+ Turn structured, semi-structured and unstructured data into useful information
+ Develop ML/AI algorithms to analyze huge volumes of historical data to derive insights, make decisions, and form predictions.
+ Run tests, perform statistical analysis, and interpret test results.
+ Contribute to shaping the digital foundations: (Hypergraph) Scenario Engine and Network based Methods: graph-based modeling tool that maps relationships between entities and simulates cascading scenarios; Chatbots (i.e., Distribution); Semantic Engine: AI layer that enables meaning-based search as opposed to keyword search.
+ Conduct large-scale analysis of information to discover patterns and trends by combining different models and algorithms.
+ Get insights from data (descriptive, attribution).
+ Perform Topological Data Modeling, Causality, Variable Importance Analysis, Attribution modeling, Regression.
**What you need to succeed:**
+ Master's or Ph.D. in Mathematics, Statistics, Computer Science, Data Science, Physics, AI, Machine Learning or a related field.
+ Experience in model development (ML/ data science, AI/GenAI) within financial services or technology sectors.
+ Proficiency in Python and SQL, TensorFlow, PyTorch, XGBoost, scikit-learn
+ Strong grasp of artificial intelligence and machine learning frameworks and stacks.
+ Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines is advantageous.
+ Intellectual curiosity and adaptability to emerging AI and quant finance trends.
+ Strong communication skills to explain complex models to non-technical stakeholders.
+ Ability to work independently and collaboratively in a fast-paced, multidisciplinary environment.
+ Attention to detail and a rigorous approach to model validation and testing.
**Salary:**
$88,800.00 - $165,600.00
**Pay Type:**
Salaried
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: Us**
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.
To find out more visit us at is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Please note this role is Hybrid (2 days/week in office)
**Role Overview**
We are seeking a highly analytical and technically proficient ML/AI Engineer to join our ARC team. This role is ideal for someone with a strong foundation in mathematics, statistics, and programming, and a passion for applying AI to solve complex financial problems. You will work to develop AI/ML/DS features for enterprise-wide AI products, develop models, optimize strategies, and contribute to the evolution of our AI-powered financial systems.
**What will you do:**
+ Design and develop machine learning models (Supervised, Unsupervised, and Reinforcement Learning), AI (Generative models and agent orchestration) models, and deep learning models (e.g., Neural Networks and autoencoders).
+ Run machine learning tests and experiments.
+ Train and retrain systems to prevent drift and optimize results.
+ Solve complex problems with multi-layered data sets, extend existing ML frameworks (Scikit-Learn, XGBoost, Tensorflow) and AI frameworks (Keras, LangChain).
+ Leverage and develop advanced analytics models (network based, forecasting, rules-based), implement said algorithms, and build tools to apply them.
+ Turn structured, semi-structured and unstructured data into useful information
+ Develop ML/AI algorithms to analyze huge volumes of historical data to derive insights, make decisions, and form predictions.
+ Run tests, perform statistical analysis, and interpret test results.
+ Contribute to shaping the digital foundations: (Hypergraph) Scenario Engine and Network based Methods: graph-based modeling tool that maps relationships between entities and simulates cascading scenarios; Chatbots (i.e., Distribution); Semantic Engine: AI layer that enables meaning-based search as opposed to keyword search.
+ Conduct large-scale analysis of information to discover patterns and trends by combining different models and algorithms.
+ Get insights from data (descriptive, attribution).
+ Perform Topological Data Modeling, Causality, Variable Importance Analysis, Attribution modeling, Regression.
**What you need to succeed:**
+ Master's or Ph.D. in Mathematics, Statistics, Computer Science, Data Science, Physics, AI, Machine Learning or a related field.
+ Experience in model development (ML/ data science, AI/GenAI) within financial services or technology sectors.
+ Proficiency in Python and SQL, TensorFlow, PyTorch, XGBoost, scikit-learn
+ Strong grasp of artificial intelligence and machine learning frameworks and stacks.
+ Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines is advantageous.
+ Intellectual curiosity and adaptability to emerging AI and quant finance trends.
+ Strong communication skills to explain complex models to non-technical stakeholders.
+ Ability to work independently and collaboratively in a fast-paced, multidisciplinary environment.
+ Attention to detail and a rigorous approach to model validation and testing.
**Salary:**
$88,800.00 - $165,600.00
**Pay Type:**
Salaried
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: Us**
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.
To find out more visit us at is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Please note this role is Hybrid (2 days/week in office)
**Role Overview**
We are seeking a highly analytical and technically proficient ML/AI Engineer to join our ARC team. This role is ideal for someone with a strong foundation in mathematics, statistics, and programming, and a passion for applying AI to solve complex financial problems. You will work to develop AI/ML/DS features for enterprise-wide AI products, develop models, optimize strategies, and contribute to the evolution of our AI-powered financial systems.
**What will you do:**
+ Design and develop machine learning models (Supervised, Unsupervised, and Reinforcement Learning), AI (Generative models and agent orchestration) models, and deep learning models (e.g., Neural Networks and autoencoders).
+ Run machine learning tests and experiments.
+ Train and retrain systems to prevent drift and optimize results.
+ Solve complex problems with multi-layered data sets, extend existing ML frameworks (Scikit-Learn, XGBoost, Tensorflow) and AI frameworks (Keras, LangChain).
+ Leverage and develop advanced analytics models (network based, forecasting, rules-based), implement said algorithms, and build tools to apply them.
+ Turn structured, semi-structured and unstructured data into useful information
+ Develop ML/AI algorithms to analyze huge volumes of historical data to derive insights, make decisions, and form predictions.
+ Run tests, perform statistical analysis, and interpret test results.
+ Contribute to shaping the digital foundations: (Hypergraph) Scenario Engine and Network based Methods: graph-based modeling tool that maps relationships between entities and simulates cascading scenarios; Chatbots (i.e., Distribution); Semantic Engine: AI layer that enables meaning-based search as opposed to keyword search.
+ Conduct large-scale analysis of information to discover patterns and trends by combining different models and algorithms.
+ Get insights from data (descriptive, attribution).
+ Perform Topological Data Modeling, Causality, Variable Importance Analysis, Attribution modeling, Regression.
**What you need to succeed:**
+ Master's or Ph.D. in Mathematics, Statistics, Computer Science, Data Science, Physics, AI, Machine Learning or a related field.
+ Experience in model development (ML/ data science, AI/GenAI) within financial services or technology sectors.
+ Proficiency in Python and SQL, TensorFlow, PyTorch, XGBoost, scikit-learn
+ Strong grasp of artificial intelligence and machine learning frameworks and stacks.
+ Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines is advantageous.
+ Intellectual curiosity and adaptability to emerging AI and quant finance trends.
+ Strong communication skills to explain complex models to non-technical stakeholders.
+ Ability to work independently and collaboratively in a fast-paced, multidisciplinary environment.
+ Attention to detail and a rigorous approach to model validation and testing.
**Salary:**
$88,800.00 - $165,600.00
**Pay Type:**
Salaried
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: Us**
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.
To find out more visit us at is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.