Chief Machine Learning Engineer

1 week ago

Udaipur, Rajasthan, India beBeeMachine Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Key Role: Advanced Machine Learning Solutions Architect

We are seeking a visionary and technically skilled professional to spearhead the design, development, and deployment of cutting-edge machine learning solutions.

This leadership role involves 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.

The ideal candidate thrives at the intersection of innovation, engineering rigor, and business value.

Job Description:

The successful candidate will be responsible for leading the architecture, development, and deployment of machine learning models and AI systems across a range of use cases. This includes designing, training, and optimizing supervised, unsupervised, and deep learning models using frameworks like PyTorch, TensorFlow, and XGBoost.

Key Responsibilities:

  • Technical Leadership: Spearhead the architecture, development, and deployment of machine learning models and AI systems.
  • Model Development: Design, train, and optimize ML models using frameworks such as 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 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
    • Familiarity with MLOps tools (e.g., MLflow, DVC, Airflow, SageMaker) and vector databases (e.g., 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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