Senior MLOps Engineer

20 hours ago

bangalore, India beBeeAgentic Full time

Job Title: Senior MLOps EngineerWe are seeking a seasoned professional to join our team as a Senior MLOps Engineer. This role is critical to our growing AI/ML practice and requires a specialized individual with experience in building and maintaining pipelines for evaluation and deployment of agentic systems. Key Responsibilities:Design and implement end-to-end MLOps pipelines specifically for agentic systems, including autonomous agents, multi-agent frameworks, and LLM-based applications.Build robust evaluation frameworks for agent performance, including metrics for task completion, decision quality, and agent collaboration.Deploy and orchestrate agentic systems using containerization and microservices architectures.Implement comprehensive monitoring for agent behavior, performance degradation, and system health.Establish version control and experiment tracking for agent configurations, prompts, and model weights using MLflow.Create automated testing pipelines for agent reasoning, tool usage, and edge case handling.Build scalable infrastructure for agent deployment, including API gateways, message queues, and state management.Implement safety and guardrail mechanisms for production agent deployments.Develop rollback and A/B testing strategies for agent updates and model changes.Required Technical Skills:MLOps & Agentic Systems (Mandatory): Proven experience building evaluation and deployment pipelines for agentic systems, Expert-level proficiency with MLflow for experiment tracking, model registry, and deployment, Experience with agent frameworks (LangChain, AutoGen, CrewAI, or similar), Knowledge of prompt engineering and LLM orchestration patterns, Understanding of agent memory systems and state management.Programming & Infrastructure: Advanced Python programming with asyncio experience, Docker and Kubernetes for containerized agent deployment, Experience with message brokers (Redis, RabbitMQ, Apache Kafka), RESTful API design and implementation, Microservices architecture patterns.Cloud & DevOps: AWS/Azure/GCP cloud platforms with focus on serverless and container services, CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions), Infrastructure as Code (Terraform, CloudFormation), Monitoring and observability tools (Prometheus, Grafana, OpenTelemetry).ML & Data: Understanding of LLM fine-tuning and deployment, Experience with vector databases (Pinecone, Weaviate, Chroma), Knowledge of RAG (Retrieval-Augmented Generation) systems, Data pipeline tools (Apache Airflow, Prefect).Qualifications:Bachelor's/master's degree in computer science, Engineering, or related field.2-5 years of experience with mandatory focus on agentic systems MLOps.Demonstrated experience with MLflow in production environments.Strong software engineering fundamentals and design patterns.Experience with distributed systems and scalability challenges.Understanding of AI safety and alignment considerations.Excellent problem-solving and debugging skills.Benefits:Work on cutting-edge agentic AI systems for Fortune 500 clients.Opportunity to shape MLOps practices for next-generation AI systems.Competitive compensation with performance bonuses.Comprehensive health and wellness benefits.Flexible hybrid work arrangements.Dedicated learning budget for conferences and certifications.

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