163 AI Development jobs in Loganville

Description

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.

Key job responsibilities

As a Deep Learning Architect, you will

• Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges

• Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production

• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder

• Provide customer and market feedback to product and engineering teams to help define product direction

About the team

ABOUT AWS:

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship and Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

AWS Global Services

AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

Basic Qualifications

• Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)

• 5+ years of experience in designing, building, and/or operating cloud solutions in a production environment

• 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)

• 4+ years of hands on experience with Python to build, train, and evaluate models

• 4+ years of technical client engagement experience

Preferred Qualifications

• Masters or PhD degree in computer science, or related technical, math, or scientific field

• 3+ years experience working with deep learning, machine learning, generative AI, or statistics

• Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.

• Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients

• Experience building cloud solutions with AWS

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

AI/ML Development Engineer, RD&E

Job Description

You're not the person who will settle for just any role. Neither are we. Because we're out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference. Here, you'll bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands. In this role, you'll help us deliver better care for billions of people around the world. It starts with YOU.

As a Digital Technology Solutions (DTS) AI/ML Engineer, you will be instrumental in the development and maintenance of our internal AI and Generative AI capabilities and solutions that drive faster innovation velocity and speed to market with our Research & Development organization. This role requires a blend of expertise in machine learning operations (MLOps), ML Engineering, Data Science, Large Language Models (LLMs), and software engineering principles.

Role will report to a Senior Manager in the DTS organization that supports the Kimberly-Clark R&D business function. Role will not have any direct reports. Key Interfaces: Product Owner, Business Analyst, Business Client, Solution Architects, Platform Architect, Data Engineers, Software Engineers, and Scrum Master. External Interfaces: Consultants and software vendors. Travel may include approximately 0-10% of work time.

In this role, you will:

• Participate in research and innovation of data science projects that have impact to our products and customers globally.
• Apply ML expertise to train models, validates the accuracy of the models, and deploys the models at scale to production.
• Design and build systems which improve machine learning scalability, usability and performance.
• Work with data scientists and data engineers to build pipeline to train and deploy models.
• Lead the design of prototypes in our AI factory, partnering with product teams, AI strategists and data scientists, other stakeholders throughout the AI development life cycle.
• Lead the development, deployment, and maintenance of our AI solutions focusing on scalability, efficiency, and functionality.
• Aggregate huge amounts of data from disparate sources to discover patterns and features necessary to automate the analytical models.
• Create requirements for APIs to support the operational needs of AI models and services.
• Collaborate with ML Engineers, Data Scientists, and software developers to onboard existing and new AI use cases onto the observability platform, ensuring optimal integration.
• Apply best practices in MLOps, LLMOps, Data Science, and software engineering to ensure the delivery of clean, efficient, and reliable code.
• Research, write documents and technical requirements, white papers.
• Lead and transform data science prototypes.
• Design AI applications using efficient ML models.
• Select appropriate datasets and data representation methods.
• Explore the state-of-the-art technologies and apply them to deliver customer benefits.
• Think pragmatically when introducing new technologies. Balance the demand for short-term goals to meet project deadlines, with the need for longer-term and innovative solutions.
• Mentor a diverse team of junior engineers in machine learning techniques, tools and concepts. Provide guidance and leadership to more junior engineers.
• Conduct thorough code reviews and provide constructive feedback to peers, fostering a culture of excellence and continuous improvement.
• Manage communications and requirements from different stakeholders, ensuring clarity and alignment on project goals and timelines.
• Keep abreast of the latest trends and advancements in AI, Machine Learning, LLMs, LLMOps, and software engineering to drive innovation within our platforms and services.
• Effectively communicate results to peers and leaders.

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• 5+ years of strong, hand-on data science and machine learning engineering experience developing and maintaining AI solutions.
• Experience with multiple complex scenarios and data modelling.
• Proficiency with Databricks required.
• Proficiency with Python required.
• Experience with the Azure cloud computing platform required.
• Complex business problem solving experience.
• Diversity of work in data science, problem solving, and creating algorithms preferred.
• Experience with statistical modeling techniques preferred.
• Experience with API development preferred.
• Experience with ML frameworks (e.g., TensorFlow, PyTorch) and data manipulation libraries (e.g., Pandas, NumPy), with specific experience in implementing and managing large language models (LLMs) preferred.
• Solid grasp of software engineering principles, including but not limited to version control (Git), CI/CD practices, and automated testing.
• Excellent problem-solving skills, ability to work in a team environment, and strong communication skills to interact with various stakeholders.

AI/ML Development Engineer, RD&E

Job Description

You're not the person who will settle for just any role. Neither are we. Because we're out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference. Here, you'll bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands. In this role, you'll help us deliver better care for billions of people around the world. It starts with YOU.

As a Digital Technology Solutions (DTS) AI/ML Engineer, you will be instrumental in the development and maintenance of our internal AI and Generative AI capabilities and solutions that drive faster innovation velocity and speed to market with our Research & Development organization. This role requires a blend of expertise in machine learning operations (MLOps), ML Engineering, Data Science, Large Language Models (LLMs), and software engineering principles.

Role will report to a Senior Manager in the DTS organization that supports the Kimberly-Clark R&D business function. Role will not have any direct reports. Key Interfaces: Product Owner, Business Analyst, Business Client, Solution Architects, Platform Architect, Data Engineers, Software Engineers, and Scrum Master. External Interfaces: Consultants and software vendors. Travel may include approximately 0-10% of work time.

In this role, you will:

• Participate in research and innovation of data science projects that have impact to our products and customers globally.
• Apply ML expertise to train models, validates the accuracy of the models, and deploys the models at scale to production.
• Design and build systems which improve machine learning scalability, usability and performance.
• Work with data scientists and data engineers to build pipeline to train and deploy models.
• Lead the design of prototypes in our AI factory, partnering with product teams, AI strategists and data scientists, other stakeholders throughout the AI development life cycle.
• Lead the development, deployment, and maintenance of our AI solutions focusing on scalability, efficiency, and functionality.
• Aggregate huge amounts of data from disparate sources to discover patterns and features necessary to automate the analytical models.
• Create requirements for APIs to support the operational needs of AI models and services.
• Collaborate with ML Engineers, Data Scientists, and software developers to onboard existing and new AI use cases onto the observability platform, ensuring optimal integration.
• Apply best practices in MLOps, LLMOps, Data Science, and software engineering to ensure the delivery of clean, efficient, and reliable code.
• Research, write documents and technical requirements, white papers.
• Lead and transform data science prototypes.
• Design AI applications using efficient ML models.
• Select appropriate datasets and data representation methods.
• Explore the state-of-the-art technologies and apply them to deliver customer benefits.
• Think pragmatically when introducing new technologies. Balance the demand for short-term goals to meet project deadlines, with the need for longer-term and innovative solutions.
• Mentor a diverse team of junior engineers in machine learning techniques, tools and concepts. Provide guidance and leadership to more junior engineers.
• Conduct thorough code reviews and provide constructive feedback to peers, fostering a culture of excellence and continuous improvement.
• Manage communications and requirements from different stakeholders, ensuring clarity and alignment on project goals and timelines.
• Keep abreast of the latest trends and advancements in AI, Machine Learning, LLMs, LLMOps, and software engineering to drive innovation within our platforms and services.
• Effectively communicate results to peers and leaders.

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• 5+ years of strong, hand-on data science and machine learning engineering experience developing and maintaining AI solutions.
• Experience with multiple complex scenarios and data modelling.
• Proficiency with Databricks required.
• Proficiency with Python required.
• Experience with the Azure cloud computing platform required.
• Complex business problem solving experience.
• Diversity of work in data science, problem solving, and creating algorithms preferred.
• Experience with statistical modeling techniques preferred.
• Experience with API development preferred.
• Experience with ML frameworks (e.g., TensorFlow, PyTorch) and data manipulation libraries (e.g., Pandas, NumPy), with specific experience in implementing and managing large language models (LLMs) preferred.
• Solid grasp of software engineering principles, including but not limited to version control (Git), CI/CD practices, and automated testing.
• Excellent problem-solving skills, ability to work in a team environment, and strong communication skills to interact with various stakeholders.

This is a remote position.

• Knowledge in Python, C++, Java, and other similar languages.
• Data Structures and Algorithms
  
  o Knowledge and ability to develop original code using structs, vectors, arrays, link lists, binary trees, and graphs
  
  o An ability to develop recursive algorithms for traversing graphs
  
  o An ability to compute runtime speed of algorithms using Big "O" notation, predict memory consumption and identify constraints, and to make appropriate tradeoffs during design
  
  o Fundamental understanding of sorting routines such as Quick Sort, Merge Sort, and others
• Mathematics & Statistics
  
  o Knowledge of various statistical distributions, their applications and limitations
  
  o Experience with conditional probabilities to include frequency-based conditional and Bayesian probabilities
  
  o Classes in calculus, linear algebra, differential equations, and discrete math
  
  o Numerical methods to solve problems such as finding solutions to transcendental equations, interpolation, extrapolation, and root determination
• Artificial Intelligence & Machine Learning
  
  o Experience building unsupervised applications to such as distance and density clustering algorithms such as K-Means along with an understanding strengths and weaknesses of various approaches.
  
  o Experience building supervised learning applications to include decision trees, Markov Chains, linear and non-linear regression methods, logit regression, Bayesian Models, and various neural network topologies.
  
  o Deep understanding of the fundamental algorithmic assumptions and their relationship to the structure of the data. Knowledge quality measurements of machine learning algorithm results.
• Basic SQL for, data transformation, and analysis in relational and distributed database systems.

• Conceptual to Detailed Design: Can understand a conceptual approach and formulate a detailed design, implement, and deliver working code.
• Problem Solving: Exceptional problem-solving skills, especially for complex data-related challenges.
• Presentation & Communication: Strong written and verbal communication skills to convey technical ideas to both technical and non-technical stakeholders.
• Adaptability: Ability to work in a fast-paced environment, handle ambiguity, and quickly pivot as needed.

• Bachelor's or master's in computer science, Electrical Engineering, or Physics.
• 1-3 years of experience in data engineering, with a focus building algorithms for detection, classification, or prediction.
• Experience working in a high-growth tech company or a similar data-intensive environment is a plus.

• Preferred Location: Atlanta, GA.
• Candidates must be eligible to work in the U.S. for any employer directly. All positions include the possibility of travel.
• The Virtus Solution is an equal opportunity employer committed to fostering a culture of equality, inclusion, and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, background and experience to the workplace.

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description:

Applies the principles of software engineering to design, develop, maintain, test, and evaluate computer software that provide business capabilities, solutions, and/or product suites. Provides systems life cycle management (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.) to ensure delivery of technical solutions is on time and within budget. Researches and supports the integration of emerging technologies. Provides knowledge and support for applications’ development, integration, and maintenance. Develops program logic for new applications or analyzes and modifies logic in existing applications. Analyzes requirements, tests, and integrates application components. Ensures that system improvements are successfully implemented. May focus on web/internet applications specifically, using a variety of languages and platforms. Defines application complexity drivers, estimates development efforts, creates milestones and/or timelines, and tracks progress towards completion.

Provides specific functional expertise that is theoretical and conceptual in nature. This expertise is typically acquired through a combination of university education and experience within a field. May have responsibility for supervising others in the capacity of a “player coach” but primary focus is individual expertise. Particularly at higher levels, sophisticated subject matter expertise is a requirement for success.

Requires specialized depth and/or breadth of expertise in own job discipline or field. Interprets business challenges and recommends best practices. Leads others to solve complex problems. Works independently, with guidance in only the most complex situations. May lead functional teams or projects.

Agile Engineering Best Practices
• Identifies and recommends improvements to the software development lifecycle and best practices in agile engineering.
• Provides input into various software development strategies (e.g., unit testing, acceptance testing, continuous delivery and integration, release and deployment for frequent and reliable release), providing the case for using agile vs. traditional methodologies.
• Develops the roadmap and guidelines for tailoring agile practices to a complex and dynamic software development project.

Project Management
• Prioritizes multiple project plans, making final decisions about priorities, timing and resources.
• Keeps abreast of the progress of multiple projects within a program or across the department; coaches project managers to adjust priorities or timelines as needed.
• Monitors resource usage across projects or programs, identifying areas or synergy or redundancy and looking for ways to optimize efficiency.

Troubleshooting
• Provides guidance and expertise to analyze data and patterns and assess the root cause of complex, non-routine problems.
• Collaborates with others across disciplines to brainstorm and execute solutions to the most complex, uncommon problems.
• Guides the execution of solutions for complex, non-routine issues; redirects solution implementation if desired results were not originally met.

Application Development/Programming
Identifies areas for improvement and develops innovative enhancements using available software development tools following design requirements of customer.

System and Technology Integration
Interprets internal/external business challenges and recommends integration of the appropriate systems, applications and technology to provide a fully functional solution to a business problem.

Technology Advising/Consulting
• Exceeds customers’ expectations by listening for unexpressed needs; connects customer needs to relevant service offerings and new technology.
• Leads others in resolving technical issues in a timely manner; follows up with customers to ensure satisfaction.
• Partners with the business to integrate new technologies into business solutions; creates and communicates a vision of the technology requirements for the future state of the business.

 Must-Have Qualifications & Technical Skills

Core Front-End Engineering Skills

• Proficiency in JavaScript frameworks: React, Angular, or Vue.js.

• HTML/CSS mastery: Including responsive design and accessibility standards.

• Version control: Git/GitHub.

• Testing frameworks: Jest, Cypress, Playwright

GenAI-Specific Skills

• Prompt Engineering: Crafting effective prompts for generative models

• Model Integration: Experience integrating GenAI models (e.g., GPT, DALL·E) into front-end applications 4.

• Understanding of GenAI architectures: Familiarity with transformer-based models, GANs, VAEs

• Data handling: Preprocessing and managing datasets for GenAI applications

• Security and compliance: Awareness of privacy, licensing, and ethical AI considerations

Programming Languages

• Python: For AI model interaction and backend support.

• TypeScript/JavaScript: For robust front-end development

• RESTful APIs: Integration with GenAI services.

Preferred Qualifications (Not Required)

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related fields

• Cloud experience: AWS, Azure, or GCP for deploying GenAI models

• Experience with RAG (Retrieval-Augmented Generation) and fine-tuning models

Other Criteria

• Job Grade: 30G

• Must be currently located in the same geographic location as the job or willing to relocate yourself - Required

• Last day to apply is 08/13/2025 11:59pm

Employee Type:

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Other Criteria:

Employer will sponsor visas for specific positions. UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.

Join to apply for the Senior Creative Developer, AI role at Monks 2 weeks ago Be among the first 25 applicants Join to apply for the Senior Creative Developer, AI role at Monks Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (). About Us Monks is a marketing and technology company connecting the dots across content, data, digital media and technology services. Inspired by the connectivity and flexibility of technology APIs, Monks' single-P&L model offers brands seamless access to a nearly 7,500-strong team of digital talent organized across 57 talent hubs in 33 countries. Together we stand for artistry, commitment and a global community of talent from different personal and professional backgrounds. People who are not in it for themselves but for each other and the work. Day after day, curious, detail-obsessed and passionate. We want to build something with the potential to change the heart of our industry, and we'd love to include your unique perspective. Senior Creative Developer, AI Role We're seeking an exceptional Creative Developer who will be at the forefront of transforming cutting-edge 3D design, real-time rendering, and generative AI technologies into immersive, scalable digital experiences. This role combines deep technical expertise with an artistic vision to drive our creative initiatives forward. What You'll Do Asset Creation & Optimization Optimize 3D assets to ensure high visual quality while maintaining performance across various platforms Pioneer generative AI integrations into asset creation, using diffusion models, transformers, or LLMs Rigging & Animation Build rigging and animation workflows for characters and objects to create dynamic, high-fidelity animations Pioneer generative AI integrations into rigging and animation pipelines Real-Time Integration & Deployment Implement optimized assets into real-time engines (Unity, Unreal Engine, Three.js) to create engaging, interactive experiences Prototype and experiment with WebGPU/WGSL for next-gen real-time rendering Tooling & Workflow Development Develop and customize tools-leveraging Python, C++, C#, TypeScript, or Java-that streamline workflows and integrate with internal and external platforms Prototype and experiment with emerging creative coding frameworks (openFrameworks, Processing, Cinder, TouchDesigner) to augment or automate pipelines Collaboration & Iteration Collaborate closely with design, engineering, research, and data teams to refine concepts, iterate prototypes, and translate creative visions into practical, high-quality 3D content What We're Looking For Graphics Fundamentals Strong understanding of computer graphics fundamentals, from modeling and shading to rendering and post-production Hands-on experience writing custom shaders (GLSL, HLSL, Shader Graph) and knowledge of WebGPU Shading Language (WGSL) Real-Time Engines & Interactive Experiences Proven track record with real-time rendering engines-Unreal Engine, Unity, or Three.js-and real-time 3D experiences (AR/VR, spatial installations) Generative AI Hands-on experience integrating generative AI tools (e.g., Stable Diffusion, Flux, RunwayML, Adobe Firefly, etc) into creative pipelines for asset generation, texture creation, or world-building Familiarity with vision models (CLIP, SAM, depth/pose estimation, etc) and applying ML in interactive or spatial experiences Creative Coding Comfort using creative coding frameworks (openFrameworks, Processing, Cinder, TouchDesigner) Proficiency with motion and design tools (Blender, Figma, Cinema 4D, After Effects) Ability to prototype quickly-coding in Python, C++, C#, TypeScript, or Java-to explore new AI-driven 3D workflows The Ideal Candidate You blend technical expertise with an artistic vision to produce awe-inspiring work Curious, adaptable, and innovative, you're excited by the potential of AI to redefine 3D storytelling You are experienced working in fast-paced, multidisciplinary environments where design, tech, and strategy intersect. You excel at collaborating across teams and articulating complex technical ideas to non-technical stakeholders Essential Qualifications & Demonstrated Expertise 3D Software Proficiency: Expert-level skills in Blender, Maya, Houdini, and the Substance Suite-able to model, texture, rig, animate, and render complex assets, with examples in your portfolio. Procedural Generation & AI Automation: Deep understanding of procedural content techniques and the integration of AI-driven automation into 3D pipelines, demonstrated through past projects or tooling you've built. Rigging/Animation Tool Development: Hands-on experience scripting custom rigging and animation workflows (using Python, C++, C#, or TypeScript), with at least one public repository of portfolio-ready tool or plugin. Shader & WebGPU Expertise: Proficiency writing custom shaders (GLSL, HLSL, Shader Graph) and working with WebGPU/WGSL-showcased by use cases and code repositories. Machine Learning in Spatial/Immersive Contexts: Practical application of ML models (e.g., diffusion, transformers; vision models like CLIP, SAM, depth/pose estimation) in AR/VR or spatial computing projects, evidenced by interactive installations or prototypes. Portfolio of AI-Integrated Work: Any other curated selection of projects highlighting AI-enhanced shaders, real-time generative experiences, and interactive 3D installations that clearly illustrate your technical and creative impact. At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission. Monks is committed to ensuring equal access and participation for people with disabilities. We are committed to treating people with disabilities in a way that allows them to maintain their dignity and independence. We believe in integration, and we are committed to meeting the needs of people with disabilities in a timely manner. We will do so by removing and preventing barriers to accessibility and by meeting our accessibility requirements under local accessibility laws. Benefits What We Offer Excellent, full coverage medical, dental, and vision insurance with employer-paid HRA Generous PTO and 15 company-wide holidays 401k with company contribution Paid parental leave Work-life balance with an emphasis on personal well-being Career growth in a disruptor space & entrepreneurial opportunities within the Monks network A globally diverse & inclusive culture with employee resource groups such as S4 Melanin, Pride.Monks, Cultura.Monks, and more! Authentic commitment to DEI efforts and sustainable growth. (Why Sir Martin Sorrell signed The Climate Pledge here!) Monks has provided a compensation range that represents its good faith estimate of what Monks may pay for the position at the time of posting. Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate's sex or any other protected status. Salary Range$120,000-$40,000 USD About Monks Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI-managed by the industry's best and most diverse digital talent-to help the world's trailblazing companies outmaneuver and outpace their competition. Monks was named a Contender in The Forrester Wave: Global Marketing Services. It has remained a constant presence on Adweek's Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger's Programmatic Power Players list every year (2020-24). In addition to being named Adweek's first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek's Top 100 Global Most Loved Workplaces 2023. We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents-and resonates with-the world around us. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Advertising Services Referrals increase your chances of interviewing at Monks by 2x Sign in to set job alerts for Senior Developer roles. 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Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Immediate need for a talented Senior Developer - AI&ML This is a 12+ months Contract opportunity with long-term potential and is located in Atlanta, GA. Please review the job description below and contact me ASAP if you are interested.

Job ID: 24-27139

Pay Range: $74.89/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

• Working on an AI initiative with multiple full stack developers to solve business problems using an AI solution.
• Ideal candidate should have a high level of technical skills, and be able to take initiative on finding solutions to existing problems.
• Candidate should have cloud computing experience (AWS), Python, CI/CD, and AI models.
• In addition, worked on scaling out a POC to fit to scale for a large operation.

• Bachelor's degree in computer science, data science or engineering discipline, or equivalent experience Significant experience Python for software development and familiarity with complex methods and nuances of software development in Python 5+ years in software development with experience in Java, C# and Python.
• Experience with AI and Client models Experience with cloud technology (specifically AWS), CI/CD and Rest API framework.
• Ideal candidate should be a quick learner, and should be able to collaborate but also work independently.

AI Engineer About Company Cyber Infrastructure is #1 Technology solution provider, committed to delivering outstanding client experiences and optimal career growth for its team members. Established on November 7, 2003, Cyber Infrastructure (CIS) is a CMMI Level 5 accredited organization. We have emerged as the Largest Technology services Provider company in Central India. Valuing over $50 million, with a presence in 5 countries and a highly Competent and Professional Team of 1000+ Professionals, who are consistently engaged in pioneering Application Development Projects and driving success for our clients. Position AI Engineer Department AI Engineer Skills Required Artificial Intelligence Educational Qualification(s) Required BE / ME / B.Tech / M.Tech (CS / IT) / MCA or equivalent Overview of Job AI Engineer designs and develops artificial intelligence models and algorithms. AI Engineer work on machine learning, data analysis, and AI applications to solve complex problems. This role involves coding, training models, and implementing AI solutions to enhance functionality and innovation within various systems. Duties & Responsibilities Design, develop, and implement AI/ML algorithms and models to solve business challenges. Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications. Research and stay up-to-date with the latest advancements in AI, machine learning, and deep learning technologies. Develop data pipelines and preprocessing methods for model training and deployment. Monitor, evaluate, and improve the performance of AI models and systems. Conduct experiments to validate hypotheses and enhance AI system capabilities. Collaborate with data scientists, software engineers, and product managers to deploy AI solutions in production environments. Create technical documentation for AI models and workflows. Required Skills & Qualifications Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in programming languages like Python, R, or Java. Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning. Strong understanding of data structures, algorithms, and statistics. Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models. Knowledge of MLOps tools and practices for model deployment and monitoring. Ability to work with large datasets and build scalable AI solutions. Strong problem-solving and critical-thinking skills. Excellent communication and collaboration skills. Experience in AI-driven products or solutions in industries like healthcare, finance, retail, etc. Exposure to big data technologies (e.g., Hadoop, Spark). Knowledge of model interpretability and explainability methods. Onsite Work Location Atlanta - Georgia Working Model Work from Office. You should be willing to work on-site at our locations in India and globally, including the USA, UK, Australia, and the Middle East. On-site benefits apply. Apply from Locations Indore / Nagpur / Bhopal / Jabalpur / Nasik / Ujjain / Gwalior / Chhindwara / Kanpur / Patna / Bangalore / Chennai / Mumbai / Pune / Hyderabad / NCR / Ahmedabad How to Apply Directly? Visit URL and Apply directly online by filling our form. #J-18808-Ljbffr