Lead Artificial Intelligence Engineer

Role : Lead Artificial Intelligence Engineer - Generative AI

- Lead and mentor a team of AI Engineers and Data Scientists, fostering innovation and technical excellence.

- Architect, design, and deploy Generative AI and LLM-based applications.

- Take end-to-end ownership of AI initiatives, from research and architecture to deployment and monitoring.

- Build scalable ML pipelines and production workflows aligned with MLOps best practices.

- Collaborate with product, engineering, and business teams to align AI strategy with

organizational goals.

- Define system architecture integrating AI solutions with cloud and enterprise platforms.

- Ensure high standards of code quality, documentation, and reproducibility.

Required Qualifications :

- Bachelors/Masters in Computer Science, Data Science, AI, or related field.

- 5+ years of hands-on experience in AI/ML, with proven deployment of production systems.

- Strong expertise in Python (NumPy, Pandas, Scikit-learn) and ML frameworks (PyTorch,

TensorFlow).

- Deep knowledge of NLP, LLMs, and Generative AI.

- Experience with web frameworks (Flask, FastAPI, Django).

- Cloud expertise (AWS, GCP, or Azure) with hands-on deployment experience.

- Familiarity with SQL/NoSQL, Git, CI/CD, and containerization (Docker).

- Strong understanding of software engineering principles and MLOps practices.

Preferred Qualifications :

- Exposure to Big Data tools (Apache Spark, Kafka, Kinesis).

- Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML).

- Understanding of data visualization tools (Tableau, Power BI).