Data Scientist

Looking for Data scientist | Mumbai (Vashi) to join a team of rockstar developers. The candidate should have a minimum of 4yrs of experience.

About CodeVyasa:

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.

Key Responsibilities

• Develop, train, and optimize machine learning and NLP models for classification, prediction, information extraction, and text processing.
• Design and implement end-to-end ML pipelines using Python and cloud-native services.
• Deploy ML models into production using AWS services such as S3, Lambda, SageMaker, EC2, and API Gateway.
• Work with large structured and unstructured datasets to extract insights and build robust data pipelines.
• Evaluate model performance using statistical methods and continuously improve model accuracy.
• Collaborate with cross-functional teams including data engineers, product managers, and software developers.
• Implement best practices for MLOps , including CI/CD, monitoring, logging, and model versioning.
• Research and apply the latest advancements in ML and NLP.

Must-Have Skills

• Strong programming skills in Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow preferred).
• Hands-on experience with NLP techniques (tokenization, embeddings, transformers, LLMs, NER, sentiment analysis).
• Solid understanding of machine learning algorithms , model evaluation, and statistical concepts.
• Practical experience with AWS (SageMaker, S3, Lambda, EC2, CloudWatch, IAM, etc.).
• Experience building and deploying ML models in production environments.
• Understanding of REST APIs, microservices, and integrating ML solutions with applications.

Good-to-Have Skills

• Experience with LLM fine-tuning , vector databases, or retrieval-augmented generation (RAG).
• Familiarity with Docker , Kubernetes , or other container orchestration tools.
• Exposure to MLOps frameworks (MLflow, Kubeflow, SageMaker Pipelines).
• Knowledge of data engineering (ETL, data quality, data pipelines).

Why Join CodeVyasa?

• Work on innovative, high-impact projects with a team of top-tier professionals.
• Continuous learning opportunities and professional growth.
• Flexible work environment with a supportive company culture.
• Competitive salary and comprehensive benefits package.
• Free healthcare coverage.