Data Scientist Manager with AI/ML & GenAI / 15+ years / Hybrid

15 years

14 - 18 Lacs

Posted:3 weeks ago| Platform: GlassDoor logo

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On-site

Job Type

Full Time

Job Description

We are seeking a highly experienced Data Scientist Manager with deep expertise in AI/ML, GenAI, and advanced NLP models. The ideal candidate will lead a team of data scientists, drive innovation in AI/ML solutions, and deliver production-grade applications leveraging LLMs, diffusion models, and classical ML techniques.

Key Responsibilities

  • Lead and mentor a team of data scientists, ML engineers, and analysts.
  • Design, develop, and deploy scalable AI/ML & GenAI solutions for enterprise applications.
  • Work on ML algorithms such as XGBoost, Random Forest, SVM, CNNs, RNNs, LSTMs, and Transformers.
  • Build and optimize NLP models including BERT, GPT, LLaMA, and T5 for various use cases.
  • Drive GenAI projects such as diffusion models, LLM fine-tuning, and generative content systems.
  • Collaborate with stakeholders to define business problems and translate them into data-driven solutions.
  • Ensure best practices in MLOps, data governance, and model deployment.
  • Work hands-on with Python, SQL, and AWS cloud infrastructure for implementation.

Required Skills & Qualifications

  • 15+ years of experience in Data Science, AI/ML, and leadership roles.
  • Strong expertise in machine learning algorithms and deep learning architectures.
  • Proven experience with LLMs, GenAI models, and fine-tuning techniques.
  • Hands-on experience with Python, SQL, and AWS cloud services.
  • Strong background in data modeling, feature engineering, and model optimization.
  • Ability to lead cross-functional teams and deliver projects in fast-paced environments.
  • Excellent communication and stakeholder management skills.

Nice to Have

  • Exposure to MLOps tools (Kubeflow, MLflow, SageMaker, etc.).
  • Experience in large-scale data pipelines and distributed systems.
  • Research publications or contributions in AI/ML/GenAI.

Job Types: Full-time, Contractual / Temporary
Contract length: 12 months

Pay: ₹120,000.00 - ₹150,000.00 per month

Work Location: In person

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