Data Scientist/ML Engineer

Role

Exp

Must-Have Skills

• Programming

  - Python, Machine Learning, Data wrangling, Strong Statistical & Mathematical skills

• Strong Hands-on experience

  in GenAI (LLMs, Prompting & RAG) based solutions
• Strong knowledge in Data Engineering Extraction, Pre-processing and managing various types of data (structured, semi & un-structured data)
• Hands-on experience in handling various storages RDBMs, Vector DB, File storage & Cloud storages services

Good-to-Have Skills

• Cloud providers like AWS, Azure or GCP
• BI tools Tableau & Power BI is nice to have

Data Scientist responsibilities:

• Expertise in designing, building & delivering end-to-end AI/GenAI based solutions to solve a customer problem
• Sound knowledge on various ML algorithms and strong mathematical & statistical background
• Research and implement appropriate ML algorithms and tools as per requirements
• Expert in statistical modeling, machine learning, data mining, Predictive/ Classification Models for structured data, cluster Analysis Experience on NLP/Topic Modeling/Text Analytics, Deep Learning and/or Computer Vision
• Expertise in Scripting & programming (Python)
• Provide technical leadership to our team by reviewing problem sets, proposing prediction models, and reviewing experiments and models.

High Proficiency in the following technologies:

• ML Algorithms, ML Models, Statistics and Data Visualization tools
• Gen AI & Prompt Engineering
• Knowledge of Agentic AI

Experience working with the following platforms:

• Python