Are you looking for Data Science Engineer jobs in Pune with one of India’s fastest-growing technology companies? We are hiring talented Data Science Engineers with 3 to 8 years of experience who are passionate about solving business problems using Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Predictive Analytics, NLP, Computer Vision, and Big Data technologies.
Job Title
Data Science Engineer – 3 to 8 Years Experience
Location
Pune, Maharashtra, India
Experience
3 to 8 Years
Employment Type
- Full-Time
- Permanent
Salary Range
₹12,00,000 – ₹30,00,000 LPA
Top Product Companies & Global MNCs: Up to ₹40 LPA+ (based on skills, AI/ML expertise, cloud certifications, and interview performance).
Data Science Engineer Jobs in Pune | AI, Machine Learning & Big Data Careers
Pune has emerged as one of India’s leading technology hubs with numerous opportunities in IT Services, Banking, FinTech, Automotive, Healthcare, Manufacturing, E-Commerce, Telecom, Cloud Computing, and SaaS companies. This role offers an excellent opportunity to work on cutting-edge AI products while collaborating with global teams.
If you enjoy transforming raw data into business insights and building scalable AI solutions, this opportunity is for you.
Key Responsibilities
- Design and develop end-to-end Machine Learning solutions.
- Build predictive analytics models for business intelligence.
- Perform statistical analysis on structured and unstructured datasets.
- Develop recommendation engines and forecasting models.
- Create scalable data pipelines using Python and SQL.
- Work with large datasets using Spark, Hadoop, or cloud-native platforms.
- Implement Deep Learning models using TensorFlow or PyTorch.
- Develop NLP applications such as chatbots, sentiment analysis, and document intelligence.
- Build Computer Vision applications for image processing and object detection.
- Deploy ML models using Docker, Kubernetes, and MLOps pipelines.
- Integrate AI models with production applications.
- Monitor model accuracy and continuously improve performance.
- Work closely with Data Engineers, Software Engineers, Business Analysts, and Product Managers.
- Present analytical findings to stakeholders.
- Maintain coding standards and documentation.
Required Technical Skills
Programming
- Python
- SQL
- R (Good to Have)
- Scala (Optional)
Machine Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Feature Engineering
- Model Optimization
- Hyperparameter Tuning
Artificial Intelligence
- Machine Learning
- Deep Learning
- Generative AI
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
Libraries
- Scikit-learn
- TensorFlow
- PyTorch
- Keras
- XGBoost
- LightGBM
- CatBoost
Data Analysis
- Pandas
- NumPy
- SciPy
- Matplotlib
- Plotly
- Seaborn
- Statsmodels
Big Data
- Apache Spark
- Hadoop
- Hive
- Kafka
Databases
- MySQL
- PostgreSQL
- SQL Server
- MongoDB
- Snowflake
- Redshift
Cloud Platforms
- AWS
- Microsoft Azure
- Google Cloud Platform (GCP)
MLOps
- MLflow
- Kubeflow
- Docker
- Kubernetes
- Jenkins
- GitHub Actions
Data Visualization
- Power BI
- Tableau
- Looker
Version Control
- Git
- GitHub
- Bitbucket
- GitLab
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, Information Technology, or related disciplines.
- 3–8 years of hands-on experience in Data Science and Machine Learning.
- Strong mathematical and statistical fundamentals.
- Excellent problem-solving and analytical abilities.
- Experience in deploying ML models to production.
- Strong communication and stakeholder management skills.
Preferred Skills
- Generative AI
- OpenAI APIs
- LangChain
- LlamaIndex
- Hugging Face
- Vector Databases
- Pinecone
- FAISS
- ChromaDB
- Azure OpenAI
- AWS SageMaker
- Databricks
- Snowflake AI
- Time Series Forecasting
- Recommendation Systems
Daily Responsibilities
- Analyze business datasets.
- Build predictive models.
- Improve model accuracy.
- Optimize ML pipelines.
- Develop AI-powered business solutions.
- Work with cross-functional teams.
- Automate data processing.
- Perform A/B testing.
- Create dashboards and reports.
- Deliver scalable production-ready solutions.
Why Join This Opportunity?
- Excellent salary packages
- Hybrid & Work From Office opportunities
- Exposure to global AI projects
- Latest AI & Machine Learning technologies
- Career growth into Lead Data Scientist and AI Architect roles
- Learning and certification support
- Flexible working environment
- International client exposure
- Performance bonuses
- Health insurance
- Paid leave
- Employee wellness programs
Career Growth Path
- Data Science Engineer
- Senior Data Science Engineer
- Lead Data Scientist
- Principal Data Scientist
- AI Engineer
- Machine Learning Engineer
- MLOps Engineer
- AI Solution Architect
- Head of Data Science
Benefits
- Competitive CTC
- Annual performance bonus
- Health Insurance
- Provident Fund
- Gratuity
- Flexible work timings
- Hybrid work model
- Learning budget
- Certification reimbursement
- Paid holidays
- Employee referral incentives
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About the Role
This position is ideal for professionals who are passionate about building intelligent systems that solve real-world business challenges. As a Data Science Engineer, you will work with advanced AI technologies, develop scalable machine learning solutions, and contribute to digital transformation initiatives across multiple industries. Candidates with strong expertise in Python, SQL, Machine Learning, Deep Learning, Cloud Computing, Big Data, and Generative AI will have excellent opportunities for career growth and attractive compensation packages in Pune’s rapidly expanding technology ecosystem.
