We are seeking highly skilled and motivated Data Scientist || Mumbai with 5+ years of experience. If you're passionate about coding, problem-solving, and innovation, we'd love to hear from you

About Us

CodeVyasa is a mid-sized product engineering company that works with top-tier product/solutions companies such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are about 550+ people strong, and we cater to Product & Data Engineering use-cases around Agentic AI, RPA, Full-stack, and various other GenAI areas.

Responsibilities:

Build, train, and optimize ML/NLP models for real-world business problems
Perform end-to-end model development: data preprocessing, feature engineering, model selection, and evaluation
Deploy and monitor models on AWS cloud environment
Work with large structured/unstructured datasets to uncover insights
Collaborate with engineering and product teams to integrate models into production
Conduct experiments, analyze results, and improve model performance
Document methodologies and present findings to stakeholders
Must-Have Skills:





4+ years of hands-on experience in Machine Learning
Strong expertise in traditional ML techniques (Regression, Classification, Clustering, Ensemble methods, Feature Engineering, Model Optimization, etc.)
Proven experience with Python and ML/NLP libraries (Pandas, NumPy, Scikit-learn, NLTK, SpaCy, Transformers)
Practical knowledge of NLP techniques (text preprocessing, embeddings, topic modeling, sentiment analysis, NER, etc.)
Experience deploying and managing ML models on AWS (SageMaker, Lambda, EC2, S3, API Gateway, etc.)
Good to Have:

Experience with Deep Learning (TensorFlow/PyTorch)
Familiarity with MLOps tools and CI/CD for ML pipelines
Exposure to big data technologies (Spark, Databricks)
Experience with data visualization tools (Power BI, Tableau)
.

Why Join CodeVyasa?

Work on cutting-edge, high-impact projects with a team of top-tier professionals.
Continuous learning opportunities and professional grow

📌 Data Scientist (Navi Mumbai)
🏢 Code Vyasa
📍 Navi Mumbai