ONSITE Sr. MLOps Software Engineer (AI/ML/DS | Cloud | CI/CD | Containers | Chatbots) | Surgical/Medical | Silicon Valley, CA

***MUST have either a U.S. Citizenship or EAD/GC***

***MUST have regulatory industry experience in either surgical or medical (preferred), biotech, big pharma, etc.***

Preferred exp w/Generative AI Models, Chatbot development

• Competitive W2 pay rate: (DOE) + pay raises + PERKS!
• Duration: 1-year+ project

PROJECT SCOPE

• The Machine Learning (MLOps ) Software Engineer is responsible for designing, developing, and deploying AI/ML and software applications engineer (Python and/or C/C++ or Java ) at scale.
• The role focuses on architecting robust systems for AI/ML workflows, building scalable data
• pipelines, and collaborating with cross-functional teams to integrate AI solutions into existing products.
• This position plays a key role in developing APIs, optimizing application performance, and ensuring the seamless deployment of models in production environments.
• Design, develop, and deploy end-to-end AI/ML applications at scale
• Architect robust and scalable systems for AI/ML workflows
• Build and maintain scalable data pipelines and infrastructure to support AI/ML operations
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing products
• Develop and implement APIs to enable communication between machine learning models and other systems
• Optimize the performance of AI/ML applications through testing, tuning, and profiling
• Ensure the smooth deployment of AI/ML models by integrating (CI/CD) pipelines

REQUIREMENTS:

• Ph.D./MSCS/BSCS or related 4-year degree in Computer Science, Engineering
• 5+ years of professional experience building end-to-end AI/ML, MLOps , and/or Data Science applications
• Strong system design skills with experience architecting complex, scalable AI/ML systems
• Experience in integrating AI/ML models into production Experience with machine learning (deep learning) Python frameworks: TensorFlow or PyTorch
• Expertise in MLOps practices, tools, and workflows (MLflow )
• Strong software engineering skills with proficiency in Python algorithms and/or C/C++ or Java
• Web Services REST/RESTful API integration
• Experience with highly distributed systems
• Version control / Atlassian tools: Git , SVN, CVS, JIRA , Confluence, BitBucket, Bamboo,
• Familiarity with cloud platforms (AWS , GCP, or Azure)
• Containerization technologies: Docker, Kubernetes , OpenShift, etc.

HIGHLY PREFERRED (but NOT required):

• Familiarity with Generative AI models and techniques
• Experience with chatbot development, particularly using RAG techniques or similar.
• Contributions to open-source ML projects
• Knowledge of DevOps practices and CI/CD pipelines: GitLab , Jenkins , Maven, ANT

Bob A. Russ, MBA

Director IT Recruiting | SME

Software | Systems | CyberSecurity | Data Science | IoT

(DoD | Medical Devices | Biotech)

M: 818.568.6948

E:

AKKODIS / Entegee

World Leader in IT and Engineering Workforce Solutions

Equal Opportunity Employer/Veterans/Disabled

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

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit

The Company will consider qualified applicants with arrest and conviction records.