AI Innovation Leader

1 day ago

Nashik, Maharashtra, India beBeeEngineering Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
AI Engineering Lead Opportunity">

Job Description:

This is an exceptional opportunity for a seasoned AI/ML engineer to lead the design, development, and deployment of advanced machine learning solutions. As an AI engineering lead, you will be responsible for guiding a team of AI/ML engineers, contributing hands-on to critical technical challenges, and collaborating with cross-functional teams to deliver impactful AI products.

  • Lead the architecture, development, and deployment of machine learning models and AI systems across a range of use cases.
  • Coach and mentor a team of ML engineers and data scientists; foster a culture of innovation, ownership, and continuous learning.
  • Drive planning, execution, and delivery of AI/ML projects, ensuring alignment with business objectives and technical feasibility.
  • Work closely with product managers, data engineers, and DevOps teams to translate business problems into AI-driven solutions.

Required Skills and Qualifications:

The ideal candidate will have a strong background in software engineering or AI/ML, with at least 2+ years of experience in a technical leadership role. Key skills and qualifications include:

  • Education: Bachelor's or Master's in Computer Science, Machine Learning, Data Science, or related technical field.
  • Experience: 6–10+ years of experience in software engineering or AI/ML.
  • Technical Expertise:
    • Strong programming skills in Python and experience with ML libraries such as Scikit-learn, TensorFlow, PyTorch, Hugging Face.
    • Deep understanding of ML fundamentals: feature engineering, model evaluation, optimization, and deployment.
    • Proficiency in designing and building data pipelines, real-time processing, and model inference systems.
    • Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines.

Preferred Qualifications:

The following qualifications are highly desirable:

  • Hands-on experience with LLMs, RAG pipelines, or generative AI applications.
  • Familiarity with agentic AI frameworks (LangChain, CrewAI, AutoGPT).
  • Domain expertise in fintech, healthtech, HR tech, or industrial automation.
  • Contributions to open-source AI/ML projects or published research.
  • Knowledge of responsible AI practices, explainability (XAI), and model governance.

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