Chief AI Innovation Officer

3 days ago

Nagpur, Maharashtra, India beBeeMachine Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title: Chief AI Innovation Officer

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

In this leadership role, you will guide a team of AI/ML engineers, contribute hands-on to critical technical challenges, and collaborate with cross-functional teams to deliver impactful AI products.

Key Responsibilities:

  • Technical Leadership: Lead the architecture, development, and deployment of machine learning models and AI systems across a range of 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.
  • Code Quality & Governance: Establish standards for model quality, reproducibility, documentation, versioning, and monitoring.
  • Innovation: Stay current with research and industry trends in ML/AI, evaluate new tools, and introduce state-of-the-art solutions where applicable.

Required Skills and Experience:

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, with at least 2+ years in a technical leadership role.

Technical Expertise:

  • Strong programming skills: 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.
  • Familiarity with MLOps tools: MLflow, DVC, Airflow, SageMaker and vector databases: FAISS, Pinecone.
  • Preferred Qualifications: 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.

Soft Skills:

Strong leadership and team-building skills.

Clear and persuasive communication with both technical and non-technical stakeholders.

Strategic thinker with attention to detail and a bias for action.

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