M & M Consultant

• Provide data science and AI expertise to design, build, and deliver scalable ML and deep
• learning solutions.
• Work extensively with tabular data to develop predictive models, perform feature
• engineering, and optimize performance for real-world applications.
• Apply conventional machine learning techniques (e.g., regression, classification,
• ensemble methods) alongside advanced deep learning methods.
• Build and optimize deep learning models for structured and unstructured data, including
• text and audio.
• Lead development of solutions for audio data, including classification, recognition, and
• signal processing tasks.
• Design, fine-tune, and deploy LLMs (Large Language Models), SLMs (Small
• Language Models), and other Generative AI solutions for diverse business
• applications.
• Translate business problems into well-structured ML/AI problems and deliver actionable
• insights.
• Deploy production-grade models with a focus on efficiency, scalability, and
• maintainability.
• Collaborate with cross-functional teams including product managers, engineers, and
• domain experts to deliver high-impact projects.
• Mentor junior data scientists and interns, fostering innovation and best practices.

• Bachelor s degree with at least 7 years of experience or Master s with at least 4 years of
• experience in Data Science/ML/AI.
• Preferred to have degree from a Tier-1/2 institute (IIT/IISc/NITs if studied in India) or a
• globally top-ranked university (as per QS).

• Proven expertise working with large-scale tabular data and building machine learning
• models.
• Strong knowledge of conventional ML algorithms (tree-based models, SVMs,
• clustering, etc.).
• Hands-on experience with deep learning frameworks such as TensorFlow / PyTorch.
• Mandatory expertise in LLMs, SLMs, and Generative AI, including fine-tuning,
• prompt engineering, and deployment.
• Proficiency in Python and libraries such as scikit-learn, pandas, NumPy.
• Exposure to model deployment frameworks and tools (ONNX, Triton, TensorRT,
• FastAPI, etc.).
• Familiarity with cloud platforms (Azure/GCP) for training and deploying ML solutions.
• Experience with Databricks is a plus.
• Strong understanding of MLOps practices, reproducibility, and model monitoring.

• Excellent written and verbal communication skills in English.
• Demonstrated experience working collaboratively in cross-functional teams.
• Ability to balance research and production priorities while meeting deadlines.
• Passionate about applying AI/ML to solve diverse real-world problems, especially at the
• intersection of Gen AI and enterprise AI adoption.

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