Machine Learning Strategist

1 day ago


Pune, Maharashtra, India beBeeLeader Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Machine Learning Leader Position

This is a key role that involves spearheading AI/ML efforts and driving innovation across the organization.

Job Description:

The successful candidate will have a strong background in machine learning, with experience leading high-performing teams. The individual will be responsible for architecting and deploying end-to-end ML pipelines, leveraging state-of-the-art deep learning, NLP, time-series modeling, and image analysis techniques.

The leader will also partner with engineering, design, and product teams to operationalize ML models, ensuring seamless integration and measurable business impact.

Additionally, the candidate will provide ML thought leadership, lead high-performing teams, and enforce best practices from experimentation through production deployment.

Requirements:
  • Graduate/Post-graduate from Tier-I institutes (IITs, IIITs, NITs) with 5–8 years of applied experience in AI/ML.
  • 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.
  • 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 modeling, 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 (LangChain, Langraph, Pinecone, CrewAI) and integration into production applications.
  • End-to-End Impact & Collaboration: Strong background in data wrangling, feature engineering, and MLOps, combined with proven ability to collaborate across engineering, product, and business teams and communicate complex concepts effectively.
Benefits:

The ideal candidate will have a passion for solving complex problems, with the courage to take research risks and drive innovation.

Other Requirements:

We are looking for an experienced leader who can shape AI strategy and guide data-driven decision-making, influencing product innovation and operational excellence across the organization.



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