Associate Director - Data Science

• Engineering & Deployment
• Build, train, and optimize ML/DL models for real-world applications across domains.
• Collaborate with MLOps teams for model deployment, monitoring, and lifecycle management.
• Ensure solutions follow best practices in scalability, reproducibility, and responsible AI principles.
• Mentorship & Collaboration
• Mentor junior engineers and data scientists in ML best practices and solutioning.
• Collaborate with cross-functional teams to translate business problems into AI/ML solutions.
  

Required Qualifications

• Experience: 9–10 years in AI/ML with at least 6-7 years in data science and ML engineering.
• Technical Expertise:
• Strong expertise in predictive modeling, regression, classification, and neural network architectures.
• Proficiency in deep learning frameworks (TensorFlow, PyTorch, Keras).
• Skilled in Python, ML libraries (scikit-learn, NumPy, Pandas), and data pipeline tools.
• Experience with model deployment, APIs, and containerization (Docker, Kubernetes).
• Familiarity with cloud ML platforms (AWS Sagemaker, Azure ML, GCP Vertex AI).
• Soft Skills: Excellent problem-solving, solution-oriented mindset, and strong communication skills to work with both technical and business stakeholders.
  

Responsibilities

• Engineering & Deployment
• Build, train, and optimize ML/DL models for real-world applications across domains.
• Collaborate with MLOps teams for model deployment, monitoring, and lifecycle management.
• Ensure solutions follow best practices in scalability, reproducibility, and responsible AI principles.
• Mentorship & Collaboration
• Mentor junior engineers and data scientists in ML best practices and solutioning.
• Collaborate with cross-functional teams to translate business problems into AI/ML solutions.
  

Qualifications

• Engineering & Deployment
• Build, train, and optimize ML/DL models for real-world applications across domains.
• Collaborate with MLOps teams for model deployment, monitoring, and lifecycle management.
• Ensure solutions follow best practices in scalability, reproducibility, and responsible AI principles.
• Mentorship & Collaboration
• Mentor junior engineers and data scientists in ML best practices and solutioning.
• Collaborate with cross-functional teams to translate business problems into AI/ML solutions.
  

About Us

ABOUT US

Equal Opportunity Employer

Information Security Responsibilities

• Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
• Take part in information security training and act while handling information.
• Report all suspected security and policy breach to InfoSec team or appropriate authority (CISO).
• Understand and adhere to the additional information security responsibilities as part of the assigned job role.