Data Scientist

17 hours ago


Mumbai Metropolitan Region, India CodeVyasa Full time

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 ResponsibilitiesDevelop, 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 SkillsStrong 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 SkillsExperience 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.


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