Senior Director of Machine Learning Engineering

4 days ago

Malappuram, Kerala, India beBeeArtificialIntelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Description:

We are seeking a skilled and visionary 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: Oversee 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, fostering 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.
Required Skills and Qualifications: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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