Chief AI Innovator

2 weeks ago


Bengaluru, Karnataka, India beBeeArtificialIntelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Lead AI Engineer

We are seeking a visionary and technically skilled Lead AI Engineer to spearhead the design, development, and deployment of advanced machine learning solutions.

This leadership role is ideal for someone who thrives at the intersection of innovation, engineering rigor, and business value.

Key Responsibilities:
  • Technical Leadership: Lead the architecture, development, and deployment of machine learning models and AI systems across various use cases.
  • Model Development: Design, train, and optimize supervised, unsupervised, and deep learning models using frameworks like PyTorch, TensorFlow, and XGBoost.
  • Mentorship: Coach and mentor a team of ML engineers and data scientists; foster a culture of innovation, ownership, and continuous learning.
  • Project Management: Drive planning, execution, and delivery of AI/ML projects, ensuring alignment with business objectives and technical feasibility.
  • System Design: Architect scalable, secure, and high-performance ML pipelines and services using cloud-native tools and MLOps best practices.
  • Collaboration: Work closely with product managers, data engineers, and DevOps teams to translate business problems into AI-driven solutions.

We require strong programming skills in Python and experience with ML libraries such as Scikit-learn, TensorFlow, PyTorch, Hugging Face. A deep understanding of ML fundamentals is also necessary, including feature engineering, model evaluation, optimization, and deployment.

A Bachelor's or Master's in Computer Science, Machine Learning, Data Science, or related technical field is required. Experience in software engineering or AI/ML, with at least 2+ years in a technical leadership role, is essential.

Preferred Qualifications:
  • 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

The successful candidate will have a solid track record of delivering complex AI/ML projects and driving business growth through innovative technology solutions.



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