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.