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: Gaurav.2.Kumar@coforge.com
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