Data Science Manager (Machine Learning)

8 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role Summary

Data Science Manager / Senior Manager


Key Responsibilities

🔧 Technical Leadership

  • Architect and oversee the development of advanced ML models including supervised, unsupervised, and deep learning approaches.
  • Drive best practices in model development, validation, deployment, and monitoring.
  • Lead code reviews, model audits, and ensure reproducibility and scalability of solutions.
  • Champion ML Ops practices and CI/CD pipelines for ML workflows.

👥 Team Management

  • Mentor and grow a team of data scientists and ML engineers.
  • Foster a culture of technical excellence, ownership, and continuous learning.
  • Set clear goals, provide feedback, and support career development.

📊 Strategic Execution

  • Translate business problems into data science solutions with measurable impact.
  • Prioritize projects based on ROI, feasibility, and strategic alignment.
  • Collaborate with cross-functional teams including engineering, product, and domain experts.

📈 Innovation & Thought Leadership

  • Stay ahead of the curve on emerging ML techniques, tools, and frameworks.
  • Evaluate and integrate cutting-edge technologies into the team’s workflow.
  • Represent the data science function in technical forums and leadership discussions.


Required Qualifications

  • Expertise in Computer Science, Machine Learning, Statistics, or related field. Min Graduate
  • 8+ years of experience in data science, with 3+ years in a technical leadership role.
  • Proven track record of deploying ML models in production environments.
  • Strong programming skills in Python (preferred), R, or Scala.
  • Deep understanding of ML frameworks (e.g., PyTorch, TensorFlow, XGBoost, scikit-learn).
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Familiarity with MLOps tools (MLflow, Airflow, SageMaker, etc.).


Education: Preferably From Mathematics and Statistics background

Location: Hyderabad

Work mode: Hybrid

Shift time: 2 PM to 11 PM


Thanks & Regards,

Shaik.ahamed@sagility.com

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