Data Scientist

JD:

• Extensive knowledge on data science and data engineering methodologies including but not limited to classical regression, machine learning, deep learning, association rules, sequence analysis / Time Series Data, cluster analysis.
• Knowledge on Semantic Segmentation / Colour Based Segmentation, based on Classical Image Segmentation / Deep Learning Models. This is desired but not mandatory
• Extensive knowledge of Python and relevant libraries SciKit learn, lifelines, pandas etc. Expertise with deep learning frameworks such as PyTorch and Tensor Flow.
• Experience with large scale training and inference, and machine learning pipelines in production systems.
• Good to have knowledge on Generative AI and Large Language Models, including prompting and fine-tuning techniques.
• Ability to translate business requirements into mathematical models and data science objectives to achieve measurable business outcomes.
• Excellent Communication and Presentation skills.
• Strong Analytical and Problem-solving skills.
• Excellent Interpersonal Skills and Effectiveness in working across geographical boundaries.