Machine Learning Operations Engineer - MLOps

We are Hiring: MLOps Engineer – Coforge Ltd. Experience Required: 5 to 10 Years Employment Type: Full-Time Work Location: Greater Noida, Pune, and Hyderabad Email: [email protected] WhatsApp: 9667427662 We are inviting applications for an experienced MLOps Engineer with strong expertise in continual learning, CI/CD pipelines, and cloud infrastructure. The ideal candidate should have hands-on experience in deploying, monitoring, and optimizing Machine Learning and Large Language Model (LLM) pipelines across cloud platforms.

Job Description 1. MLOps & LLMOps Pipeline Development:- Design and implement end-to-end ML/LLM pipelines with focus on continual learning, retraining, and A/B testing Integrate CI/CD pipelines for model deployment, versioning, and rollback 2. Cloud & Infrastructure Expertise:- Strong hands-on experience with Azure, AWS, and GCP (Azure ML, SageMaker, Vertex AI) Expertise in Docker, Kubernetes, and scalable cloud-native architectures 3.

ML & LLM Tools & Frameworks:- Experience with ML tools: MLflow, Airflow, Kubeflow, SageMaker, Azure ML Knowledge of LLM frameworks: LangChain, LlamaIndex, Hugging Face, OpenAI/Azure OpenAI APIs Hands-on experience with vector databases: Pinecone, Weaviate, Chroma, Qdrant 4. Monitoring, Optimization & Scalability:- Implement monitoring using Prometheus, Grafana, ELK, Datadog Optimize GPU utilization, inference latency, and model performance 5. Programming & Collaboration:- Strong Python skills with knowledge of Scikit-learn, TensorFlow, PyTorch Collaborate with cross-functional teams to deliver production-grade ML/LLM solutions