Job Summary :

We are looking for an experienced Python Lead to own the end-to-end delivery of client-facing ML and Python-based solutions - from initial demo and proof-of-concept through deployment and post-launch support. This role combines hands-on technical ownership with client delivery accountability.

Key Responsibilities :

Python Engineering & Technical Leadership :

- Lead the design and development of Python-based applications and ML pipelines using frameworks like Django, Flask, or FastAPI.

- Own database design and integration (SQL, PostgreSQL, or MongoDB).

- Mentor and guide junior Python developers through code reviews and technical guidance.

- Ensure adherence to coding standards, security protocols, and CI/CD best practices.

- Guide the ML lifecycle - data preparation, model training, evaluation, deployment, and monitoring - applying GenAI/LLM capabilities where relevant.

Solution Delivery & Client Ownership :

- Own end-to-end delivery of client solutions - from demo and POC through implementation and deployment.

- Act as the primary technical point of contact for client-facing engagements.

Project Kick-off, Planning & Execution :

- Plan and lead project kick-off, aligning on objectives, success metrics, and governance.

- Build project plans covering milestones, release schedules, and resourcing.

- Run Agile delivery against timeline, scope, and budget.

- Deliver handover documentation and lead retrospectives.

Client Communication & Partner Management :

- Build trusted relationships with client stakeholders and explain AI/ML solutions in business terms.

- Run client governance through status calls and executive summaries.

- Handle client escalations and identify opportunities to expand engagements.

- Coordinate dependencies across client, partner, and internal teams.

Quality, Deployment & Support :

- Own the testing process (unit, integration, and model validation).

- Support containerization and deployment (Docker, Kubernetes) across cloud platforms (AWS, GCP, or Azure).

- Provide post-deployment support and drive continuous optimization.

Required Skills :

- 7+ years of hands-on Python development experience.

- Proficiency in Django, Flask, or FastAPI, and databases such as SQL, PostgreSQL, or MongoDB.

- Experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure), along with CI/CD pipelines and Git.

- Hands-on exposure to Machine Learning model development and deployment.

- Prior experience in a client delivery, consulting, or implementation environment.

- Proven experience owning client-facing technical delivery from kick-off through go-live.

- Experience with Agile delivery methodologies.

- Strong problem-solving skills and ability to lead a team.

- Experience working with channel or implementation partners.

Educational Qualifications:

- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field.

- Master's degree in a relevant technical discipline is a plus.

Preferred Qualifications:

- Experience with GenAI/LLM solutions such as RAG pipelines, vector databases, or LLM APIs.

- Exposure to regulated industries such as healthcare or insurance, including data privacy and compliance (e.g., HIPAA), and security standards such as OAuth and SSO.