Technical Leadership: Provide technical leadership and guidance to a team of AI engineers and data scientists, ensuring the successful execution of AI projects from inception to deployment.

Team Management: Lead and manage a team of AI professionals, including performance management, mentoring, and fostering a collaborative and innovative work environment.

AI Strategy and Roadmap: Collaborate with stakeholders to define AI strategies and roadmaps aligned with business goals and objectives, identifying opportunities for AI/ML implementation and driving innovation.

Project Management: Oversee the end-to-end project lifecycle, including requirements gathering, solution design, development, testing, and deployment, while ensuring adherence to timelines and quality standards.

Technical Expertise: Possess a deep understanding of AI and ML technologies, frameworks, algorithms, and tools, staying up-to-date with the latest advancements in the field, and leveraging this knowledge to guide the team in selecting appropriate solutions.

Problem Solving: Identify and resolve technical challenges, provide guidance on complex issues, and promote a culture of problem-solving and continuous improvement within the team.

Collaboration: Collaborate effectively with cross-functional teams, such as product management, data engineering, and business stakeholders, to gather requirements, define project scopes, and ensure successful implementation.

Documentation and Reporting: Prepare technical documentation, including architecture diagrams, data flow diagrams, and project reports, to effectively communicate project progress, results, and recommendations.

Strong leadership and team management skills, with a proven track record of leading and mentoring technical teams.

Good experience on Generative AI, LLMs- OpenAI, Django framework, Flask Framework, Langchain, Fine-tuning models, Indexing- Embeddings.

Proficiency in programming languages commonly used in AI/ML, such as Python, R, or Java.

In-depth knowledge of AI/ML techniques, algorithms, and frameworks, such as TensorFlow, PyTorch, or sci-kit-learn.

Experience with cloud platforms and services as AWS for scalable AI/ML deployments.

Strong problem-solving and analytical skills, with the ability to think critically and provide innovative solutions.

Excellent communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders.

Proven experience in driving process improvements and optimizing AI workflows.