AI/ML Data Scientist

Team: IT

Location: India

Commitment: Full-time

Workplace Type: remote

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.