LLMOps/MLOps Engineer (Immediate Joiners/Currently Serving)

Job description

We are looking for **IMMEDIATE JOINERS or Serving Notice period** candidates only, interested and eligible candidates can apply with their updated resume. **Experience** 5+ Years **Location** Pune, Hyerabad **Detailed JD** **MLOps/LLMOps Engineer** with a strong background in **continual learning, cloud infrastructure**, **Azure, GCP, and AWS**. The ideal candidate will have extensive hands-on experience in **Python and ML libraries** (Scikit-learn, TensorFlow, PyTorch), and a proven track record in deploying, monitoring, and optimizing machine learning and large language model pipelines. **Core Responsibilities & Skills:** **1. MLOps & LLMOps Pipeline Development** - Design, implement, and automate **end-to-end ML/LLM pipelines** with a focus on **continual learning, model retraining, and A/B testing**. - **2. Cloud & Infrastructure Expertise** - Strong hands-on experience with **Azure, GCP, and AWS** cloud platforms, including managed services for ML (Azure ML, Sagemaker, Vertex AI). - Proficiency in **Docker, Kubernetes**, and cloud-native architectures for scalable, containerized deployments. **3. ML & LLM Tools & Frameworks** - Expertise in **ML pipeline tools**: MLflow, Airflow, Kubeflow, Sagemaker, Azure ML. - Experience with **LLM tools and 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 and observability** using tools like Prometheus, Grafana, ELK, and Datadog. - Optimize **GPU compute, inference latency, and model serving** for high-performance, scalable architectures. **5. Programming & Collaboration** - Strong **Python** skills and familiarity with ML libraries (Scikit-learn, TensorFlow, PyTorch). - Collaborate with data scientists, engineers, and product teams to deliver robust, production-grade ML/LLM solutions.