AI/ML Data Scientist

Jobgether; India; Remote; INR 2,400,000 - 3,800,000; Full time

Benefits offered by this job

Remote work across India

Hybrid options in Bangalore/Pune

Job summary

Jobgether is seeking an AI/ML Data Scientist based in India to develop advanced ML solutions supporting enterprise decision‑making and customer‑facing products. You will work with large‑scale structured and unstructured data to uncover patterns, build predictive features, and develop analytical models.

The role spans ML, DL, statistical analysis, time‑series forecasting, and predictive modeling, with end‑to‑end data/ML pipelines and MLOps to support production models.

Qualifications

• Advanced Python programming with ML libraries.
• A quantitative degree with 3–7 years of experience.
• Experience in ML/ DL, feature engineering, and time-series forecasting.
• Experience in automated ML pipelines and MLOps concepts.
• Knowledge of SQL databases and cloud data platforms.

Responsibilities

• Design, train, evaluate, and optimize ML/ DL models across use cases.
• Extract, clean, engineer predictive features from large datasets.
• Build end-to-end data ingestion and model training pipelines with MLOps.
• Conduct model validation, hyperparameter tuning, and bias-variance analysis.
• Translate findings into dashboards and actionable business insights.
• Collaborate with software teams to deploy models in production.

Skills

Python

Pandas

NumPy

Scikit-learn

PyTorch

TensorFlow

Time-series analysis

SQL

Statistical analysis

Model deployment

Education

Bachelor's or Master's degree in Statistics/Mathematics/CS/Data Science

Tools

Snowflake

BigQuery

AWS Redshift

Git

Job description

Our partner is looking for an AI/ML Data Scientist based in India.

This is an opportunity to develop advanced machine learning solutions that support enterprise decision‑making and customer‑facing products.
You will work with large‑scale structured and unstructured datasets to uncover patterns, build predictive features, and develop analytical models.
The role spans machine learning, deep learning, statistical analysis, time‑series forecasting, and predictive modeling.
You will also contribute to automated data and ML pipelines, applying MLOps practices to support reliable and scalable production models.
Close collaboration with software engineering teams will be essential to integrate models directly into real‑world applications.
You will translate complex statistical findings and model performance into clear insights, visualizations, and actionable business recommendations.
This role is well suited to a data scientist who combines strong technical depth with analytical thinking and a practical, business‑oriented mindset.

Accountabilities:

• Design, train, evaluate, and optimize machine learning and deep learning models across use cases including classification, regression, clustering, predictive analytics, and time‑series forecasting.
• Extract, clean, transform, and engineer high‑value predictive features from large‑scale structured and unstructured datasets to improve model performance and business outcomes.
• Build robust end‑to‑end data ingestion and model training pipelines, incorporating MLOps best practices and automated retraining processes to support scalable machine learning operations.
• Conduct rigorous model validation and optimization through hyperparameter tuning, cross‑validation, bias‑variance analysis, and other evaluation techniques to ensure production models remain accurate and stable.
• Analyze complex datasets and statistical outputs to identify meaningful patterns, trends, and opportunities that can inform strategic and operational decision‑making.
• Translate technical findings, predictive metrics, and statistical insights into clear dashboards, reports, and actionable recommendations for business stakeholders.
• Collaborate with software engineering teams to integrate statistical and machine learning models into customer‑facing software products and production environments.

Requirements:

• Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, or another quantitative discipline, combined with approximately 3–7 years of relevant professional experience.
• Advanced Python programming skills with strong hands‑on experience using data science and machine learning libraries such as Pandas, NumPy, Scikit‑Learn, PyTorch, and/or TensorFlow.
• Strong knowledge of statistical concepts and methodologies, including probability, statistical testing, hypothesis validation, predictive modeling, and time‑series analysis.
• Practical experience developing machine learning and deep learning models, including model evaluation, feature engineering, hyperparameter optimization, and validation techniques.
• Experience building or contributing to automated data and machine learning pipelines, with an understanding of MLOps principles and production‑oriented model development.
• Working knowledge of SQL databases, Git version control, and cloud‑based data platforms such as Snowflake, BigQuery, or AWS Redshift.
• Strong analytical and problem‑solving capabilities, with the ability to work with complex datasets and communicate technical findings clearly to both technical and business stakeholders.

Benefits:

• Annual compensation ranging from INR 2,400,000 to INR 3,800,000 CTC, depending on relevant experience and qualifications.
• Full‑time employment opportunity within a mid‑senior‑level AI and data science environment.
• Remote work flexibility across India, with opportunities to work from Bangalore or Pune under a hybrid or remote‑flexible arrangement.
• Opportunity to work on predictive analytics, machine learning, deep learning, forecasting, and MLOps initiatives with direct impact on enterprise decision‑making.
• Exposure to large‑scale datasets, modern data platforms, and customer‑facing software products while collaborating closely with software engineering teams.

How Jobgether works:

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.