ML Platform Engineer/Python Developer
Listed on 2026-03-01
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IT/Tech
AI Engineer, Data Engineer, Machine Learning/ ML Engineer, Data Science Manager
Akkodis is seeking a ML Platform Engineer local to San Diego, CA. This is a fully onsite position. If you are interested, please apply!
Pay: 75/hr - 77/hr W2
5 days a week onsite
ABOUT THE ROLE:Job Description:
A developer on the AI-Tools & Platforms team will design, build, and maintain Python-based internal tools, reusable frameworks, and scalable infrastructure that support our data scientists and engineers in accelerating R&D workflows and integrating AI/ML solutions into production. This includes developing workflow-oriented APIs, data access utilities, and components that streamline experimentation, model iteration, and data engineering processes. The developer will contribute to infrastructure supporting exploratory analysis environments, training pipelines, and inference services.
Close collaboration with AI/ML engineers and data scientists, product teams, data engineers, Dev Ops engineers, and business SMEs will be key to ensuring seamless integration and operational excellence.
- Develop Python-based internal tools and frameworks that simplify experimentation, data access, and model iteration for data scientists
- Design and implement infrastructure solutions to increase productivity of data scientists from R&D to production (exploratory data analysis environment, training pipelines, inference services, etc)
- Collaborate with AI/ML engineers and data scientists for data engineering support.
- Partner with Dev Ops and data pipeline teams for smooth production integration.
- Document and share best practices, reusable components, and patterns for AI/ML development.
- Collaboration with international development teams
- Proficiency in Python, including experience with libraries for data processing and automation.
- Familiarity with AI/ML workflows, including data processing, model training, and model deployment.
- Experience building APIs, SDKs, or internal tools for data and model access using Python.
- Knowledge of CI/CD pipelines and containerization (e.g., Docker, Kubernetes).
- Understanding of cloud platforms (AWS) and scalable infrastructure.
- Excellent communication skills with the ability to clearly articulate technical concepts and collaborate effectively.
Skills:
- Exposure to ML frameworks (PyTorch, Tensorflow) and analytics tools.
- Experience with relevant AWS services (Fargate, Lambda, Glue, Athena, Sage Maker)
- Experience with highly scalable infrastructure and distributed compute (Kubernetes, Ray, Dask, etc)
- Ability to work creatively on loosely defined specifications.
- Bachelor’s degree in computer science, software engineering, or related field.
- 3+ years of software development experience, preferably in MLOps, AI/ML or data engineering environments.
- 5+ years of experience is preferred
Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State or local law; and Holiday pay upon meeting eligibility criteria.
Disclaimer:
These benefit offerings do not apply to client-recruited jobs and jobs which are direct hire to a client
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