Akkodis
Sr. MLOps Software Engineer (DS | Cloud | CI/CD | Chatbots) Surgical/Medical Ind
Akkodis, San Francisco, California, United States, 94199
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: Bob.Russ@Entegee.com AKKODIS / Entegee www.Entegee.com 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 https://www.entegee.com/candidate-privacy-information-statement/
The Company will consider qualified applicants with arrest and conviction records.
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: Bob.Russ@Entegee.com AKKODIS / Entegee www.Entegee.com 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 https://www.entegee.com/candidate-privacy-information-statement/
The Company will consider qualified applicants with arrest and conviction records.