Team Lead- AI
6 hours ago
Responsibilities
- Lead and supervise a team of AI/ML engineers, ensuring high-quality project delivery.
- Design and develop
Agentic AI workflows
that enable autonomous decision-making and multi-step task execution. - Build NLP, generative AI, and deep learning models based on business requirements.
- Work with frameworks such as
CrewAI, LangChain, AutoGen, or custom agent architectures
. - Develop and maintain RAG pipelines and LLM fine-tuning workflows.
- Translate business problems into scalable AI solutions.
- Oversee the full AI lifecycle—from data preparation to deployment and monitoring.
- Implement MLOps practices to streamline model release and maintenance.
- Conduct code reviews, mentor junior team members, and promote technical excellence.
- Collaborate with product, engineering, and client teams to align AI delivery with organizational goals.
Requirements
- 5–8 years of overall experience
in AI/ML engineering or data science. - Minimum 2 years of team-leading or mentoring experience.
- Strong hands-on expertise in Python, machine learning, and deep learning frameworks (PyTorch/TensorFlow).
- Proven experience in Agentic AI
, LLM applications, and tool-using autonomous agents. - Good understanding of NLP concepts, embeddings, vector databases, and RAG architectures.
- Knowledge of cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes).
- Experience with model deployment, CI/CD, and MLOps workflows.
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