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Technical Lead – Data Science

0 years

3 - 6 Lacs

Bengaluru

Posted:4 weeks ago| Platform: GlassDoor logo

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Skills Required

data drive ai ml learning leadership architecture development deployment design reliability processing engineering code model governance risk devops integration programming python tensorflow pytorch aws azure gcp training algorithms communication management monitoring interpretability consulting certifications

Work Mode

On-site

Job Type

Part Time

Job Description

India
ID asp-006-0725
Full Time
07/07/2025

Job Overview:

We are seeking an experienced and visionary Technical Lead – Data Science to lead and drive AI/ML solution delivery across complex and large-scale business problems. The ideal candidate will have deep hands-on expertise in AI, Machine Learning, Deep Learning, NLP, and Generative AI (Gen AI), coupled with a strong leadership mindset to mentor teams, architect scalable solutions, and influence key stakeholders.

Key Responsibilities:

  • Lead the architecture, development, and deployment of advanced AI/ML/NLP/Gen AI models and solutions.
  • Work closely with business stakeholders to understand use cases, translate them into technical solutions, and drive end-to-end implementation.
  • Design and build scalable and production-grade machine learning systems, ensuring high performance, reliability, and efficiency.
  • Apply Natural Language Processing (NLP) and Generative AI (LLMs, transformers, prompt engineering) for innovative and high-impact business applications.
  • Mentor and lead a team of data scientists and ML engineers, ensuring code quality, knowledge sharing, and best practice adoption.
  • Drive technical decision-making, model governance, risk mitigation, and continuous improvement.
  • Collaborate with cross-functional teams across data engineering, product, and DevOps to ensure seamless integration and delivery.

Required Skills:

  • Strong programming skills in Python and experience with key libraries such as TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers.
  • Deep expertise in Machine Learning, NLP, and Generative AI, with proven success in implementing real-world solutions.
  • Hands-on experience with cloud platforms like AWS, Azure, or GCP for model training, deployment, and scaling.
  • Solid understanding of data structures, algorithms, and MLOps practices.
  • Experience in leading medium to large AI/ML teams and delivering high-visibility projects.
  • Strong communication and stakeholder management skills, with the ability to influence and present to senior leadership.

Preferred Skills:

  • Exposure to end-to-end ML lifecycle including data prep, model monitoring, CI/CD pipelines, and model interpretability tools.
  • Experience in product-oriented or consulting organizations is a plus.
  • Certifications in AI/ML or cloud technologies (AWS/GCP/Azure) are advantageous.

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IT Services and IT Consulting

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