AI/ML Data Scientist

SheJobs Group; Chennai District; Hybrid; INR 77,444,000 - 242,014,000; Full time

Job summary

SheJobs Group seeks an experienced AI/ML Data Scientist in Chennai to translate business problems into data science solutions. You will build, evaluate, and deploy models, collaborating with data engineers, software engineers, and product managers.

The role requires 5–8 years of hands-on ML experience, strong Python skills, and a solid grounding in statistics, ML algorithms, and MLOps. Hybrid work with client location as applicable.

Qualifications

• 5-8 years of relevant experience in Data Science / ML / AI.
• Experience taking ML solutions from problem definition through production deployment.
• Strong communication and stakeholder management skills.

Responsibilities

• Understand business problems and translate them into data science and ML solutions.
• Gather and analyze requirements from business and technical stakeholders.
• Perform data preprocessing, feature engineering, EDA, and statistical analysis.
• Develop and optimize ML models for classification, regression, clustering, forecasting, and other use cases.
• Deploy ML models into production and monitor performance.

Skills

Python

ML algorithms

Pandas/NumPy/Scikit-learn

SQL

MLOps

Cloud platforms

Generative AI/LLM/RAG

Stakeholder mgmt

Tools

TensorFlow

PyTorch

MLflow

Kubeflow

BigQuery

Databricks

Spark

Docker

Kubernetes

Job description

Chennai USD800k - USD2500k/yr Full Time 1 applied 1d ago

About the Role

AI/ML Data Scientist - Proactive Hiring

Walkin Interview - on 10th Oct at Chennai

Experience: 5-8 Years

Work Mode: Hybrid / Client Location as applicable

Role Overview

We are looking for experienced AI/ML Data Scientists with strong expertise in machine learning, Python, statistics, and data science. The ideal candidate should have hands-on experience in developing, deploying, and optimizing ML/AI solutions and should be comfortable working with business and technical stakeholders.

Key Responsibilities

Understand business problems and translate them into data science and machine learning solutions.

Gather and analyze requirements from business and technical stakeholders.

Perform data preprocessing, feature engineering, exploratory data analysis, and statistical analysis.

Develop and optimize machine learning models for classification, regression, clustering, forecasting, and other use cases.

Apply appropriate ML algorithms and evaluate model performance.

Work on Generative AI, LLM, RAG, NLP, or AI-based solutions where applicable.

Develop Python-based data science solutions and reusable ML pipelines.

Collaborate with Data Engineers, Software Engineers, Product Managers, and business stakeholders.

Deploy ML models into production and monitor model performance.

Conduct model tuning, validation, and performance improvement.

Communicate technical findings and model outcomes clearly to stakeholders.

Required Skills

Strong hands-on experience with Python.

Strong understanding of Machine Learning algorithms and concepts.

Experience with Pandas, NumPy, Scikit-learn and other Python ML libraries.

Strong SQL and data analysis skills.

Experience with feature engineering, model training, validation, and tuning.

Knowledge of statistics and probability.

Experience with ML model deployment / MLOps is preferred.

Good understanding of cloud platforms such as GCP, AWS, or Azure.

Experience with Generative AI / LLM / RAG is an added advantage.

Preferred Skills

TensorFlow / PyTorch

NLP / Computer Vision

Generative AI

LLMs and RAG

Prompt Engineering

MLflow / Kubeflow

BigQuery / Databricks / Spark

Candidate Profile

5-8 years of relevant experience in Data Science / Machine Learning / AI.

Strong problem-solving and analytical skills.

Experience taking ML solutions from problem definition through development and production deployment.

Strong communication and stakeholder management skills.

Candidates who can join within a short notice period are preferred.

Skills & Technologies

Required Skills

Nice to Have

TensorFlow PyTorch NLP Computer Vision Generative AI LLMs and RAG Vector databases Prompt Engineering MLflow Kubeflow Docker Kubernetes BigQuery Databricks Spark Cloud AI/ML services