Data Scientist

Viraaj HR Solutions Private Limited; Chennai District; Hybrid; INR 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Hybrid work flexibility

Upskilling sponsorships

Rapid promotion paths

Job summary

Viraaj HR Solutions Private Limited is seeking a skilled ML Engineer in Chennai to design, train, and deploy predictive models that drive business outcomes. You will translate KPIs into hypotheses and build robust data pipelines, working closely with cross-functional teams.

The role emphasizes ML model development, MLOps collaboration on cloud platforms, and creating storytelling dashboards for stakeholders. Hybrid work and ongoing upskilling opportunities are offered.

Qualifications

• Strong Python and ML fundamentals with hands-on model development.
• Experience building and validating ML models (classification, regression, clustering).
• Proficiency in data visualization with Power BI or Tableau.

Responsibilities

• Design, train, and deploy ML models to solve business problems across marketing, risk, and operations.
• Translate KPIs into data-driven hypotheses and validate with A/B testing.
• Collaborate with engineering to productionize models via MLOps on AWS/GCP/Azure.
• Develop dashboards to communicate insights to non-technical stakeholders.
• Perform EDA, clean data, and build scalable data pipelines using SQL, Python, PySpark.
• Stay updated with ML advances and propose innovation aligned with goals.

Skills

Python

Scikit-learn

Pandas

NumPy

SQL

Machine Learning

Statistical Modeling

Power BI

Tools

PySpark

TensorFlow / PyTorch

LLM fine-tuning

Job description

About The Opportunity

A fast-scaling AI & Analytics firm operating at the intersection of enterprise data science and business intelligence, we empower Fortune 500 and mid-market clients across BFSI, Retail, and Healthcare to drive data-led transformation. Our data scientists architect predictive models, automate decision-making frameworks, and extract actionable insights from petabyte-scale structured and unstructured datasets—deploying solutions that directly impact revenue, cost, and customer experience.

Role & Responsibilities

• Design, train, and deploy machine learning models (classification, regression, clustering) to solve core business problems across marketing, risk, and operations.
• Translate business KPIs into data-driven hypotheses, build feature sets, and validate model performance using statistical rigor and A/B testing.
• Collaborate with engineering teams to productionize models using MLOps pipelines on cloud platforms (AWS/GCP/Azure).
• Develop dashboards and visualizations (Power BI/Tableau) to communicate insights to non-technical stakeholders with narrative-driven storytelling.
• Perform exploratory data analysis (EDA), clean raw datasets, and engineer scalable data pipelines using SQL, Python, and PySpark.
• Stay current with emerging ML techniques (LLMs, NLP, time-series forecasting) and propose innovation pilots aligned with business goals.

Skills & Qualifications

• Must-Have
• Python
• Scikit-learn
• Pandas
• NumPy
• SQL
• Machine Learning
• Statistical Modeling
• Power BI
• Preferred
• PySpark
• TensorFlow / PyTorch
• LLM fine-tuning (HuggingFace, LangChain)

Benefits & Culture Highlights

• Work directly with global clients on high-impact projects—your models shape real business outcomes.
• Access to continuous upskilling via internal AI labs, Kaggle sponsorships, and certification reimbursements.
• Hybrid work flexibility, performance-linked bonuses, and rapid promotion paths for top performers.

Skills: python,models,machine learning,data