Driving Machine Learning Innovation

21 hours ago

Aurangabad, Maharashtra, India beBeeDataScientist Full time US$ 1,50,000 - US$ 2,00,000
Lead Data Scientist Opportunity

We are seeking an experienced and visionary Lead Data Scientist to spearhead our machine learning efforts, driving cutting-edge innovation through a comprehensive approach.

The successful candidate will have the opportunity to work across all aspects of machine learning, including predictive models, time-series forecasting, recommender systems, computer vision, and Gen AI-powered agents.

Key Responsibilities:

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

Requirements:

  • Graduate/Post-graduate from Tier-I institutes (IITs, IIITs, NITs) 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.
  • 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.

Preferred Qualifications:

  • Advanced ML Expertise: Proficiency in ML frameworks (TensorFlow, PyTorch, Keras, scikit-learn) and Python, with hands-on experience in deep learning architectures (Transformers, CNNs, RNNs, LSTMs), statistical modelling, and scalable deployment using distributed systems (e.g., Spark, Hadoop).
  • Generative AI & Applied Innovation: Practical experience with LLM fine-tuning, RAG pipelines, embeddings, and prompt engineering; familiarity with GenAI ecosystems and integration into production applications.

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