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Data Scientist - Machine Learning

STAFFINGTON CONSULTING PRIVATE LIMITED
Bangalore
4 - 7 Years

Posted on: 20/11/2025

Job Description

We are seeking an experienced Data Scientist / ML Engineer with strong technical expertise in data analysis, machine learning, and emerging AI technologies. The ideal candidate will bring hands-on experience with Python, SQL, traditional ML models, and exposure to Generative AI and LLM-based systems. This role requires strong analytical thinking, effective communication, and the ability to work collaboratively in a dynamic environment.


Roles & Responsibilities :


- Analyze complex datasets using Python and SQL to build, evaluate, and optimize models.


- Develop and implement machine learning algorithms, statistical models, and predictive analytics solutions.


- Build and maintain data pipelines to support model training and deployment.


- Work with Generative AI, Large Language Models (LLMs), and RAG (Retrieval-Augmented Generation)based solutions.


- Contribute to the development of agentic workflows using frameworks such as LangGraph, CrewAI, or Agno (preferred but not mandatory).


- Deploy ML/AI models on cloud platforms such as AWS or Google Cloud, ensuring scalability and reliability.


- Collaborate with cross-functional teams to translate business requirements into data-driven insights and solutions.


- Communicate complex technical concepts to non-technical stakeholders clearly and effectively.


- Participate in continuous model monitoring, optimization, and performance evaluation.


Skillset / Requirements :


- 4+ years of experience in data science, business analytics, or applied machine learning.


- Strong proficiency in Python and SQL for data analysis, modeling, and pipeline development.


- Solid understanding of traditional ML algorithms, statistical techniques, and predictive modeling.


- Hands-on experience or working knowledge of Generative AI, LLMs, and RAG systems.


- Exposure to agentic frameworks (LangGraph, CrewAI, Agno) is a significant plus.


- Experience deploying ML models on AWS, Google Cloud, or similar cloud environments.


- Strong analytical thinking and problem-solving skills.


- Excellent communication and collaboration abilities, with the capacity to work effectively across teams.

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