14 Machine Learning Engineer Remote jobs in the United States

At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you'll have the support to excel at work and the resources to build a career you can be proud of.

***Please note only role is for Eastern Time Zone location***

We're out to transform transportation logistics through technology, and our multimillion-dollar commitment to IT underscores its importance to our vision. As a Machine Learning Engineer, you will be responsible for designing, building, and maintaining scalable machine learning systems. You will work closely with data scientists, software engineers, and business stakeholders to deploy models into production, ensure system reliability, and optimize performance across GXO's operations.

Pay, benefits and more.

We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more.

What you'll do on a typical day:

• Deploy and monitor ML models in production | Use tools like Docker, Kubernetes, and MLflow to ensure scalable and reliable deployment
• Build and maintain data pipelines | Use tools like Airflow, Spark, or Kafka to support model training and inference
• Integrate ML models into business applications | Collaborate with software engineers to embed models into operational systems
• Monitor model performance and data drift | Implement alerting and retraining pipelines
• Clean and preprocess data | Ensure data quality and consistency for modeling
• Work with cross-functional teams | Translate business needs into technical solutions
• Maintain technical documentation | Ensure reproducibility and knowledge sharing
• Optimize ML workflows | Identify and implement improvements in performance and scalability

At a minimum, you'll need:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics or another analytics-related field, or equivalent related work or military experience
• 3-5 years in AI/ML engineering or Data Science, or software engineering with ML focus
• ML Engineering Expertise: Strong understanding of ML lifecycle, from training to deployment and monitoring.
• Programming Proficiency: Advanced Python skills; experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• MLOps Tools: Proficiency in Docker, Kubernetes, MLflow, and CI/CD pipelines.
• Data Engineering: Experience with data pipeline tools (Airflow, Spark, Kafka).
• Cloud Platforms: Familiarity with AWS, GCP , or Azure.

• Collaboration: Ability to work with data scientists, developers, and business stakeholders.
• Communication: Ability to explain GenAI concepts to technical and non-technical stakeholders.

GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team - energetic, innovative people of all experience levels and talents who make GXO a great place to work.

We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.

At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you'll have the support to excel at work and the resources to build a career you can be proud of.

***Please note only role is for Eastern Time Zone location***

We're out to transform transportation logistics through technology, and our multimillion-dollar commitment to IT underscores its importance to our vision. As a Machine Learning Engineer, you will be responsible for designing, building, and maintaining scalable machine learning systems. You will work closely with data scientists, software engineers, and business stakeholders to deploy models into production, ensure system reliability, and optimize performance across GXO's operations.

Pay, benefits and more.

We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more.

What you'll do on a typical day:

• Deploy and monitor ML models in production | Use tools like Docker, Kubernetes, and MLflow to ensure scalable and reliable deployment
• Build and maintain data pipelines | Use tools like Airflow, Spark, or Kafka to support model training and inference
• Integrate ML models into business applications | Collaborate with software engineers to embed models into operational systems
• Monitor model performance and data drift | Implement alerting and retraining pipelines
• Clean and preprocess data | Ensure data quality and consistency for modeling
• Work with cross-functional teams | Translate business needs into technical solutions
• Maintain technical documentation | Ensure reproducibility and knowledge sharing
• Optimize ML workflows | Identify and implement improvements in performance and scalability

At a minimum, you'll need:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics or another analytics-related field, or equivalent related work or military experience
• 3-5 years in AI/ML engineering or Data Science, or software engineering with ML focus
• ML Engineering Expertise: Strong understanding of ML lifecycle, from training to deployment and monitoring.
• Programming Proficiency: Advanced Python skills; experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• MLOps Tools: Proficiency in Docker, Kubernetes, MLflow, and CI/CD pipelines.
• Data Engineering: Experience with data pipeline tools (Airflow, Spark, Kafka).
• Cloud Platforms: Familiarity with AWS, GCP , or Azure.

• Collaboration: Ability to work with data scientists, developers, and business stakeholders.
• Communication: Ability to explain GenAI concepts to technical and non-technical stakeholders.

GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team - energetic, innovative people of all experience levels and talents who make GXO a great place to work.

We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.

At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you'll have the support to excel at work and the resources to build a career you can be proud of.

***Please note only role is for Eastern Time Zone location***

We're out to transform transportation logistics through technology, and our multimillion-dollar commitment to IT underscores its importance to our vision. As a Machine Learning Engineer, you will be responsible for designing, building, and maintaining scalable machine learning systems. You will work closely with data scientists, software engineers, and business stakeholders to deploy models into production, ensure system reliability, and optimize performance across GXO's operations.

Pay, benefits and more.

We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more.

What you'll do on a typical day:

• Deploy and monitor ML models in production | Use tools like Docker, Kubernetes, and MLflow to ensure scalable and reliable deployment
• Build and maintain data pipelines | Use tools like Airflow, Spark, or Kafka to support model training and inference
• Integrate ML models into business applications | Collaborate with software engineers to embed models into operational systems
• Monitor model performance and data drift | Implement alerting and retraining pipelines
• Clean and preprocess data | Ensure data quality and consistency for modeling
• Work with cross-functional teams | Translate business needs into technical solutions
• Maintain technical documentation | Ensure reproducibility and knowledge sharing
• Optimize ML workflows | Identify and implement improvements in performance and scalability

At a minimum, you'll need:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics or another analytics-related field, or equivalent related work or military experience
• 3-5 years in AI/ML engineering or Data Science, or software engineering with ML focus
• ML Engineering Expertise: Strong understanding of ML lifecycle, from training to deployment and monitoring.
• Programming Proficiency: Advanced Python skills; experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• MLOps Tools: Proficiency in Docker, Kubernetes, MLflow, and CI/CD pipelines.
• Data Engineering: Experience with data pipeline tools (Airflow, Spark, Kafka).
• Cloud Platforms: Familiarity with AWS, GCP , or Azure.

• Collaboration: Ability to work with data scientists, developers, and business stakeholders.
• Communication: Ability to explain GenAI concepts to technical and non-technical stakeholders.

GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team - energetic, innovative people of all experience levels and talents who make GXO a great place to work.

We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.

At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you'll have the support to excel at work and the resources to build a career you can be proud of.

***Please note only role is for Eastern Time Zone location***

We're out to transform transportation logistics through technology, and our multimillion-dollar commitment to IT underscores its importance to our vision. As a Machine Learning Engineer, you will be responsible for designing, building, and maintaining scalable machine learning systems. You will work closely with data scientists, software engineers, and business stakeholders to deploy models into production, ensure system reliability, and optimize performance across GXO's operations.

Pay, benefits and more.

We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more.

What you'll do on a typical day:

• Deploy and monitor ML models in production | Use tools like Docker, Kubernetes, and MLflow to ensure scalable and reliable deployment
• Build and maintain data pipelines | Use tools like Airflow, Spark, or Kafka to support model training and inference
• Integrate ML models into business applications | Collaborate with software engineers to embed models into operational systems
• Monitor model performance and data drift | Implement alerting and retraining pipelines
• Clean and preprocess data | Ensure data quality and consistency for modeling
• Work with cross-functional teams | Translate business needs into technical solutions
• Maintain technical documentation | Ensure reproducibility and knowledge sharing
• Optimize ML workflows | Identify and implement improvements in performance and scalability

At a minimum, you'll need:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics or another analytics-related field, or equivalent related work or military experience
• 3-5 years in AI/ML engineering or Data Science, or software engineering with ML focus
• ML Engineering Expertise: Strong understanding of ML lifecycle, from training to deployment and monitoring.
• Programming Proficiency: Advanced Python skills; experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• MLOps Tools: Proficiency in Docker, Kubernetes, MLflow, and CI/CD pipelines.
• Data Engineering: Experience with data pipeline tools (Airflow, Spark, Kafka).
• Cloud Platforms: Familiarity with AWS, GCP , or Azure.

• Collaboration: Ability to work with data scientists, developers, and business stakeholders.
• Communication: Ability to explain GenAI concepts to technical and non-technical stakeholders.

GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team - energetic, innovative people of all experience levels and talents who make GXO a great place to work.

We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.

At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you'll have the support to excel at work and the resources to build a career you can be proud of.

***Please note only role is for Eastern Time Zone location***

We're out to transform transportation logistics through technology, and our multimillion-dollar commitment to IT underscores its importance to our vision. As a Machine Learning Engineer, you will be responsible for designing, building, and maintaining scalable machine learning systems. You will work closely with data scientists, software engineers, and business stakeholders to deploy models into production, ensure system reliability, and optimize performance across GXO's operations.

Pay, benefits and more.

We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more.

What you'll do on a typical day:

• Deploy and monitor ML models in production | Use tools like Docker, Kubernetes, and MLflow to ensure scalable and reliable deployment
• Build and maintain data pipelines | Use tools like Airflow, Spark, or Kafka to support model training and inference
• Integrate ML models into business applications | Collaborate with software engineers to embed models into operational systems
• Monitor model performance and data drift | Implement alerting and retraining pipelines
• Clean and preprocess data | Ensure data quality and consistency for modeling
• Work with cross-functional teams | Translate business needs into technical solutions
• Maintain technical documentation | Ensure reproducibility and knowledge sharing
• Optimize ML workflows | Identify and implement improvements in performance and scalability

At a minimum, you'll need:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics or another analytics-related field, or equivalent related work or military experience
• 3-5 years in AI/ML engineering or Data Science, or software engineering with ML focus
• ML Engineering Expertise: Strong understanding of ML lifecycle, from training to deployment and monitoring.
• Programming Proficiency: Advanced Python skills; experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• MLOps Tools: Proficiency in Docker, Kubernetes, MLflow, and CI/CD pipelines.
• Data Engineering: Experience with data pipeline tools (Airflow, Spark, Kafka).
• Cloud Platforms: Familiarity with AWS, GCP , or Azure.

• Collaboration: Ability to work with data scientists, developers, and business stakeholders.
• Communication: Ability to explain GenAI concepts to technical and non-technical stakeholders.

GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team - energetic, innovative people of all experience levels and talents who make GXO a great place to work.

We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.

As a Lead Software Engineer at JPMorgan Chase within the Machine Learning and Intelligence Operations Virtual Agent Assist team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology product in a secure, stable, and scalable way. As a core technical contributor, you are responsible for developing critical technology solutions across multiple technical areas in support of the firm's business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) such as Java and Python
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Experience in building enterprise applications with high availability and performance using Spring, ORM, Kafka, Elastic Search, Distributed Cache.
• Hand on experience in UI Frameworks like React
• Proficiency in SQL and Database development.
• Experience managing technologists, building large enterprise applications beyond exposing REST endpoints on database and cloud native applications based on 12 factor methodology.

• Strong AWS experience. Use of ECS, Kafka, S3, DynamoDB, RDS, Elasticcache. Deep knowledge of creating infrastructure using Terraform. Building and deploying docker containers.
• Experience in building full stack applications with ReactJS front-end and Java backend.
• Experience in building micro-frontends
• Knowledge of ML frameworks and GenAI

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

How you'll make a difference:
The Data Science Lead Analyst role is a crucial role to the development of evaluation processes
of output extracted from unstructured data which will lead to the broadening of our product
development space. As a strong individual contributor, the role will engage in product
development efforts using best practices in web development. Responsibilities include setting
up an internal web development framework that allows for the quick spin up of evaluation
processes, this includes processes with varied requirements, and the maintenance of
framework. This role will work closely with the internal Technology to make sure the
framework adheres to security and practices of Forsyth Health.

Role Summary:
The Data Science Lead Analyst position is an opportunity for a data scientist/software engineer
to strengthen web development workflows, establish crucial evaluation processes, and
meaningfully impact the development of the Forsyth Enterprise Data Model. The job
responsibilities include, but are not limited to the following:
• Write, test, and deploy software applications that will help propel the evaluation of
models created from unstructured data.
• Collaborate with data engineers to understand back-end capabilities.
• Work with other cross-functional teams to gather and refine requirements for various
evaluation initiatives.
• Efficiently query multiple data types (medical and pharmacy claims, EMR, lab,
chargemaster) as needed to gain a deeper understanding of patient / clinical activity
from Forsyth data to validate and further refine NLP/ML models and output.
• Create and maintain technical documentation for full-stack development.

Qualifications:
• 3-5 years of experience in software engineering. Bachelor's degree in a related field
preferred.
• Excellent programming skills in languages like JavaScript, TypeScript, Python, SQL, etc.
• Advanced knowledge in web development tools such as React.js, Django, etc.
• Experience with cloud computing platforms and development tools such as Azure
Databricks, Azure Data Lake, AWS, etc.
• Demonstrated attention to detail, ability to compile and analyze information, ensure
code quality and data integrity, and provide resolutions or recommendations for
improving operational processes.
• Excellent communication and presentation skills.
• Desired: experience with NLP models and at least 1-2 years in healthcare data space.

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

For this position, we anticipate offering an annual salary of 89,700 - 149,500 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.

We want you to be healthy, balanced, and feel secure. That's why you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, visit Life at Cigna Group .

About Evernorth Health Services

Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you require reasonable accommodation in completing the online application process, please email: for support. Do not email for an update on your application or to provide your resume as you will not receive a response.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

Cayenta is seeking a forward-thinking AI Engineer to join our R&D team and bring practical Artificial Intelligence capabilities to our Enterprise Resource Planning (ERP) and Customer Information System (CIS) platforms.

This role is focused on leveraging existing AI tools, frameworks, and orchestration platforms—not building foundational AI models from scratch. You’ll be applying AI technologies like LangChain, Langflow, Azure AI Studio, Hugging Face, and OpenAI APIs, as well as orchestration protocols like A2A or MCP, to deliver real features such as AI-powered customer service agents, ERP copilots, and semantic document search tools.

You’ll work collaboratively across teams to experiment, prototype, and deliver production-ready AI functionality that improves user experiences and business outcomes. The AI Engineer reports to the Director of Research & Development, with a preference for candidates based in Canada.

This remote role welcomes candidates anywhere in Canada and the US. Up to 25% of travel is required within North America. A valid passport/visa is necessary for travel.

Salary: 100-140K CAD

What Will Be Your New Role:

• Develop AI-augmented functionality embedded in Cayenta’s ERP and CIS applications to support user efficiency and intelligent automation.
• Design and build intelligent CSR-facing agents, RAG-enabled copilots, and context-aware assistants for operations and customer service teams.
• Utilize AI orchestration tools like LangChain, Langflow, and cloud-based AI platforms (e.g., Azure OpenAI, OpenAI, Hugging Face) to quickly prototype and refine solutions.
• Integrate AI solutions into our Go/.Net/C#/React/Python based architecture, working closely with frontend/backend developers to ensure seamless user experiences.
• Implement semantic search, prompt engineering, vector-based retrieval, and agent chaining using modern LLM techniques.
• Process unstructured content (e.g., PDFs, emails, knowledge bases) to enable intelligent AI interactions within enterprise workflows.
• Iterate rapidly on prototypes using internal feedback, balancing feasibility, performance, and value.
• Ensure all AI solutions are aligned with Cayenta’s data governance, security, and responsible AI practices.

What Are We Looking For:

• 2–5 years of relevant experience in software development, AI tooling, or AI feature integration.

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field.

• Strong working knowledge of AI application development using platforms such as:

  • LangChain, Langflow, OpenAI APIs

  • Azure AI Studio, Hugging Face, or similar GenAI tools

• Solid grasp of key AI/LLM concepts, including:

  • Retrieval-Augmented Generation (RAG)

  • Prompt engineering

  • Semantic search and vector embeddings

  • Agent orchestration and task chaining

• Proficiency with Python, or other backend frameworks, and experience integrating APIs or services into enterprise systems.

• Familiarity with low-code/no-code AI platforms, and comfort working across different layers of an AI stack.

• Ability to work collaboratively in cross-functional teams and clearly communicate complex technical ideas.

What Will Make You Stand Out:

• Direct experience building AI copilots, customer service bots, or knowledge-based assistants.
• Familiarity with multi-agent systems, MCP, or A2A orchestration protocols.
• Understanding of enterprise software (ERP, CIS, CRM) and how AI features can enhance them.
• Prior work using vector databases (e.g., Pinecone, Weaviate, Chroma) and LLM memory strategies.
• Experience running AI prototypes in production environments, including monitoring and iteration.
• Participation in AI communities, hackathons, open-source contributions, or published AI prototypes.

What We Can Offer:

• 3 weeks' vacation and 5 personal days
• Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment
• Employee stock ownership and RRSP/401k matching programs
• Lifestyle rewards
• Remote work and more!

About Harris:

Harris  is a leading provider of mission critical software to the public sector in North America. As a wholly owned subsidiary of Constellation Software Inc. (“CSI”, symbol CSU on the TSX), Harris has become the cornerstone for CSI’s investment in utility, local government, school districts, public safety, and healthcare software verticals. Our success has been realized through investments in our proprietary software and market expertise. This focus, combined with acquiring businesses that build upon or complement our offerings, has helped drive our success. Harris will continue to growth through reinvestment – both in the people and products that we offer and making investments in acquiring new businesses.

About Cayenta:

Founded in 1983 and welcomed to the Harris family in 2004, our Cayenta business unit is the North American leader in technology for medium to large utility clients. We provide innovative end-to-end CIS and ERP solutions that were engineered from the ground up to be agile and seamless, ensuring that our clients have a platform for operational success.

#LI-remote

At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you'll have the support to excel at work and the resources to build a career you can be proud of.

We're out to transform transportation logistics through technology, and our multimillion-dollar commitment to IT underscores its importance to our vision. As an AI Engineer specializing in Generative AI products, you will design, develop, and deploy GenAI-powered applications that enhance supply chain operations. You will work at the intersection of AI research and engineering, transforming large language models and multimodal systems into scalable, production-ready tools that drive automation, decision-making, and customer experience across GXO's logistics network.

Pay, benefits and more.

We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and the opportunity to participate in a company incentive plan.

What you'll do on a typical day:

• Utilize, produtctize, and fine-tune LLMs and multimodal models | Use frameworks like Hugging Face Transformers, ADK, Copilot Studio
• Integrate GenAI into supply chain tools | Develop APIs and user-facing applications using Python, FastAPI, or similar
• Design and optimize prompts for LLMs | Ensure high-quality outputs for summarization, Q&A, and task automation
• Prepare and curate datasets for GenAI training | Work with structured and unstructured data (e.g., documents, logs, emails)
• Evaluate model performance and safety | Use metrics like BLEU, ROUGE, hallucination rate, and user feedback
• Work with product, operations, and data teams | Translate supply chain needs into GenAI solutions
• Deploy GenAI models and monitor performance | Use tools like Docker, Kubernetes, and MLflow
• Stay current with GenAI advancements | Prototype new capabilities and assess feasibility for logistics use cases

At a minimum, you'll need:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics or another analytics-related field, or equivalent related work or military experience
• 3-5 years in AI/ML engineering or Data Science, with at least 1 year focused on GenAI or NLP applications.
• GenAI Expertise: Experience with LLMs (e.g., GPT, Gemini), prompt engineering and tuning.
• Programming Proficiency: Strong Python skills; familiarity with GenAI libraries (Transformers, LangChain, OpenAI, etc.).
• Application Development: Ability to build APIs and integrate AI into cloud-based products.

• Data Handling: Experience with NLP preprocessing, vector databases (e.g., FAISS, Pinecone), and embeddings.
• Cloud & MLOps: Familiarity with AWS/GCP /Azure, Docker, Kubernetes, and CI/CD pipelines.
• Communication: Ability to explain GenAI concepts to technical and non-technical stakeholders.

GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team - energetic, innovative people of all experience levels and talents who make GXO a great place to work.

We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.