MLOps / AI DevOps Engineer
ExpertsHub.aiPune (division)17 hours ago
Job descriptionStrong hands-on expertise in Python and frameworks such as FastAPI , Flask , or Django REST Framework . Proven experience in designing and maintaining microservices-based architectures . Knowledge of API design , versioning, and secure data exchange protocols. Practical experience in MCP server setup and backend integration with AI services. Familiarity with Airflow , Celery , or distributed task orchestration systems. Experience working with Elasticsearch , PostgreSQL , or similar databases. Proficiency in CI / CD tools (GitHub Actions, Jenkins, or GitLab CI) and version control (Git) . Experience with Linux-based deployment and shell scripting for server management. Exposure to GPU-based coding and parallel computation for high-performance tasks. Knowledge of NLP , Vision , Text-to-Voice , and multimodal systems integration. Experience with containerization (Docker) and orchestration (Kubernetes) for scalable deployments. Strong analytical and debugging skills for backend and infrastructure-level issues. Excellent communication and documentation abilities. Collaborative and proactive approach when working with AI Research, ML, and Integration teams. Eagerness to explore cutting-edge backend, streaming, and AI integration technologies.
Job Title : MLOps / AI DevOps Engineer – (Position 1 No)
Experience Level : 2 to 3 Years
Department : AI Application Development
Location : Pune
Job Overview
The Backend Developer will design, develop, and maintain scalable backend systems and APIs supporting AI-driven applications. This role demands strong proficiency in Python , FastAPI , and microservices architecture , with additional exposure to MCP servers , real-time streaming (LiveKit) , and parallel data processing . The developer will collaborate with AI / ML teams to build highly performant APIs, integrate live video / audio / text streaming, and maintain deployment pipelines optimized for AI workloads.
Key Responsibilities
- Design and develop backend services and REST APIs using FastAPI and microservice-based architectures .
- Implement and manage authentication, authorization , and integration testing.
- Build, deploy, and maintain MCP servers for AI application backends.
- Enable real-time text, video, and audio streaming using LiveKit or similar frameworks.
- Implement parallel processing pipelines using Airflow , Celery , or equivalent tools.
- Integrate Elasticsearch for indexing, search, and performance optimization.
- Collaborate with AI and ML teams to connect deployed models to application backends.
- Manage and optimize CI / CD pipelines , ensuring stable releases and automated testing.
Required Skills & Qualifications
Preferred (Good to Have)
Soft Skills
Please apply here
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Mlops Engineer • Pune (division)
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