AI/ML-Tech Lead
On-siteNoida, Uttar Pradesh, India
Job Summary
Lead the design and implementation of advanced Generative AI applications, overseeing LLM fine-tuning, optimization, and evaluation strategies across domains. Architect scalable, production-ready AI deployments on cloud platforms (AWS, Azure, GCP) and drive MLOps/LLMOps best practices, including CI/CD pipelines for automated model deployment. Develop modular AI workflows using frameworks like LangChain, AutoGen, and CrewAI while managing end-to-end ML pipelines with Apache Airflow and MLflow. Guide the implementation of NER models and multimodal LLMs using TensorFlow and PyTorch, and champion FastAPI-based APIs for high-throughput model serving. Mentor a team of ML engineers and translate business needs into technical solutions, staying ahead of emerging AI research to maintain organizational technical leadership.
Required Qualifications
- 10-14 years Total Experience
- Proven expertise in Python, Natural Language Processing, and LLM ecosystem
- Deep experience with agentic frameworks (LangChain, AutoGen, CrewAI), fine-tuning LLMs, and building custom distilled models
- Strong background in ML pipeline architecture, data orchestration, and cloud-native ML workflows
- Hands-on experience with TensorFlow and PyTorch, particularly for NER and other NLP tasks
- Working knowledge of multimodal models, OCR systems, and their integration into AI applications
- Experience in architecting FastAPI-based APIs for high-throughput ML services
- Familiarity with container orchestration using Docker and Kubernetes in a cloud environment
- Track record of implementing MLOps/CI-CD best practices and production-grade ML systems
- Demonstrated leadership in delivering AI solutions at scale, managing cross-functional teams, and influencing technical direction
- Excellent problem-solving, decision-making, and communication skills
- Strong mentorship mindset and the ability to grow and inspire high-performing teams
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