The ideal candidate will be a technical leader who can drive the entire AI development lifecycle, from ideation and architecture to deployment and monitoring.

You will be responsible for setting the technical direction, ensuring best practices, and fostering a collaborative and innovative team culture.

This role requires a strong blend of technical acumen, project management skills, and a passion for developing and growing people.

Key Responsibilities :

Technical Leadership & Strategy :

- Lead the design, architecture, and development of scalable, high-performance AI/ML solutions.

- Drive the team's technical strategy and roadmap, ensuring alignment with overall business goals and product vision.

- Act as a hands-on subject matter expert, providing technical guidance, conducting code reviews, and ensuring the quality and robustness of AI models and applications.

- Stay up-to-date with the latest advancements in AI, machine learning, deep learning, and generative AI, evaluating their potential application to our challenges.

Team & People Management :

- Lead, mentor, and coach a team of AI professionals, fostering a culture of continuous learning, growth, and excellence.

- Manage team performance, conduct regular 1:1 meetings, and support the career development of team members.

- Facilitate agile ceremonies (e.g., sprint planning, retrospectives) to ensure efficient project delivery.

- Participate in the recruitment and onboarding of new AI talent.

Project & Workflow Management:

- Oversee the end-to-end AI/ML project lifecycle, from initial research and data collection to model training, deployment, and monitoring.

- Collaborate with product managers, business stakeholders, and other engineering teams to define project requirements, manage timelines, and deliver on objectives.

- Implement and enforce MLOps best practices for model versioning, CI/CD, and monitoring of production models.

Innovation & Problem Solving :

- Lead the team in tackling complex, ambiguous problems and translating business requirements into clear technical specifications.

- Foster an environment of innovation, encouraging the team to experiment with new technologies and approaches.

Communication :

- Clearly communicate project progress, technical decisions, and the business impact of AI solutions to both technical and non-technical audiences.

- Act as a key liaison between the AI team and senior leadership.

Required Qualifications :

Education : Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.

Experience : 7+ years of experience in AI/ML roles, with at least 2-3 years in a technical leadership, team lead, or management position.

Technical Skills :

- Deep expertise in Python and a strong command of machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow).

- Proven experience with the full AI development lifecycle, including data engineering, model development, and production deployment.

- Hands-on experience with MLOps principles and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes).

- Strong understanding of cloud platforms (AWS, Azure, or GCP) for AI/ML workloads.

Leadership Skills :

- Demonstrated ability to lead, motivate, and mentor a high-performing technical team.

- Excellent problem-solving, decision-making, and organizational skills.

- Strong interpersonal and communication skills, with the ability to build consensus and collaborate effectively across teams.

Preferred Qualifications (Bonus Points) :

- Experience with Generative AI technologies, including LLMs, RAG, and fine-tuning.

- Experience in [specific industry, e.g., FinTech, Healthcare, E-commerce, SaaS].

- A portfolio of successfully launched and impactful AI projects.

- Contributions to open-source AI/ML projects or publications in relevant forums