Lead Python Developer (AI/ML&CV)

Job Title: Lead Python Developer(AI/ML & Computer Vision) Experience : 8+ Years Job Summary :- We are looking for an experienced Technical Lead – Python (AI/ML & Computer Vision) to lead the design and development of scalable, high-performance applications. The ideal candidate should have strong hands-on expertise in Python development, AI/ML, and Computer Vision, along with proven experience leading engineering teams, driving technical architecture, and delivering production-grade solutions.

The role requires a combination of technical leadership, backend engineering, machine learning deployment, and cloud-native application development.

Key Responsibilities :-

• Lead the architecture, design, and development of scalable Python-based applications.
• Mentor and guide development teams while ensuring engineering best practices.
• Design and develop RESTful APIs using FastAPI, Flask, or Django.
• Build scalable backend systems, microservices, and ETL/data processing pipelines.
• Collaborate with Data Science and ML teams to integrate AI/ML solutions into production.
• Develop and optimize Computer Vision solutions for real-world applications.
• Deploy, monitor, and maintain ML models in production environments.
• Design robust database solutions using SQL and NoSQL databases.
• Implement CI/CD pipelines and containerized deployments using Docker.
• Work closely with cross-functional teams to define technical roadmaps and deliver high-quality software.
• Ensure application performance, security, scalability, and reliability.

Required Skills & Qualifications :-

• 8+ years of hands-on experience in Python development.
• Proven experience as a Technical Lead or in a similar leadership role.
• Strong expertise in Python frameworks such as FastAPI, Flask, or Django.
• Extensive experience in developing RESTful APIs and backend applications.
• Experience building scalable microservices and ETL/data pipelines.
• Strong knowledge of SQL and NoSQL databases.
• Hands-on experience in Machine Learning and Computer Vision projects.
• Experience deploying ML models into production environments.
• Good understanding of MLOps concepts and model lifecycle management.
• Experience with cloud platforms, preferably AWS.
• Proficiency with Docker, Git, and CI/CD pipelines.
• Strong problem-solving, communication, and stakeholder management skills.