Master Machine Learning Expert

2 days ago

Nashik, Maharashtra, India beBeeArtificial Full time ₹ 3,00,00,000 - ₹ 4,00,00,000
Lead Data Scientist

At our organization, we are driving innovation by embracing a comprehensive approach to machine learning.

This diverse exposure to a range of ML technologies is a unique opportunity to broaden your skill set and make an impact at scale.

You will have the opportunity to work across all aspects of machine learning: from predictive models, time-series forecasting, and recommender systems, to computer vision and generative AI-powered agents.

Our goal is to spearhead applied research and development of advanced AI/ML solutions across domains including recommender systems, computer vision, speech processing, and generative AI agents.

We are looking for a Graduate/Post-graduate with 5–8 years of applied experience in AI/ML, spanning NLP, deep learning, computer vision, image processing, and with introductory experience in building or fine-tuning generative AI models.

The ideal candidate should have proven leadership (2+ years) in leading teams and driving ML projects, with a track record of building strong Data Science practices and fostering high-performance culture.

Responsibilities include architecting and deploying end-to-end ML pipelines leveraging state-of-the-art deep learning, NLP, time-series modelling, and image analysis techniques, designing scalable, maintainable AI/ML platforms that deliver robustness, reliability, and alignment with enterprise objectives, partnering with engineering, design, and product teams to operationalize ML models, ensuring seamless integration and measurable business impact.

Additionally, the successful candidate should provide ML thought leadership and lead high-performing teams, enforcing best practices from experimentation through production deployment, shape AI strategy and guide data-driven decision-making, influencing product innovation and operational excellence across the organization.

Key Responsibilities:

  • Architect and deploy end-to-end ML pipelines
  • Design scalable, maintainable AI/ML platforms
  • Partner with engineering, design, and product teams
  • Provide ML thought leadership and lead high-performing teams
  • Shape AI strategy and guide data-driven decision-making

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