AI/ML Team Lead

3 days ago


Surat, Gujarat, India Kgk Infotech Full time ₹ 8,00,000 - ₹ 12,00,000 per year

Job Title: AI/ML Team Lead

Location: Surat

Job Type: Full-time

Experience Level: Senior

Reports To: CTO

About the Role

We are seeking an experienced and highly motivated AI/ML Team Lead with a strong background in Computer Vision and Python development to lead our Machine Learning initiatives. As the AI/ML Team Lead, you will be responsible for architecting solutions, managing a team of ML engineers and researchers, and driving the end-to-end development of AI systems from research to production deployment.

Key Responsibilities

  • Lead and manage a team of ML engineers and data scientists, providing technical guidance and mentorship.
  • Architect and implement advanced Computer Vision models for tasks such as image classification, object detection, segmentation, OCR, video analytics, etc.
  • Collaborate cross-functionally with product managers, software engineers, and stakeholders to translate business problems into ML solutions.
  • Own the full ML lifecycle from data collection and pre-processing to model training, evaluation, deployment, and monitoring.
  • Develop production-quality Python code and collaborate on scalable and maintainable ML pipelines.
  • Stay updated with the latest research and trends in computer vision and machine learning; evaluate and integrate new technologies.
  • Ensure robust testing, documentation, and model explainability for compliance and reproducibility.
  • Promote best practices for ML Ops, version control, and continuous integration/continuous deployment (CI/CD).

Requirements

Must-Have:

  • Bachelor's or Master's in Computer Science, Engineering, AI/ML, or related field.
  • 4 to 6 years of hands-on experience in AI/ML, with team leadership or technical lead role.
  • Strong expertise in Computer Vision techniques and frameworks (e.g., OpenCV, PyTorch, TensorFlow, Streamlit, Detectron2, YOLO, etc.).
  • Excellent proficiency in Python and ML libraries (NumPy, scikit-learn, pandas, etc.).
  • Proven experience in deploying models to production environments (REST APIs, microservices, containers).
  • Solid understanding of ML Ops practices, including model versioning, monitoring, and reproducibility.
  • Strong problem-solving, communication, and leadership skills.

Nice-to-Have:

  • Experience with cloud platforms (AWS, GCP, Azure) and tools like Docker, Kubernetes, Airflow, or MLflow.
  • Familiarity with edge AI or real-time computer vision applications.
  • Contributions to open-source projects or research publications in relevant fields.

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