31 Jul
|
Code Vyasa
|
India
:
We are seeking a skilled Data Scientist in Hyderabad with 6 years of experience in designing and developing scalable enterprise applications.
About Us :
CodeVyasa is a mid-sized product engineering company that works with top-tier product and solutions organizations such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are a team of 550 engineers, driving innovation across Product & Data Engineering, focusing on Agentic AI, RPA, Full Stack, and GenAI-based solutions.
Key Responsibilities :
- Design, develop, and deploy end-to-end machine learning and deep learning models for business use cases.
- Build and optimize Generative AI applications using Large Language Models (LLMs).
- Develop and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.
- Work on Natural Language Processing (NLP) tasks including text classification, summarization, question answering, and information extraction.
- Fine-tune open-source and commercial LLMs for domain-specific applications.
- Develop scalable APIs and AI services using Python.
- Deploy, monitor, and maintain ML models using MLflow and MLOps best practices.
- Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions.
- Optimize model performance, scalability, and inference latency.
- Work with cloud platforms such as AWS and/or Azure for model deployment and infrastructure management.
Required Skills :
- 6 years of experience in Data Science, Machine Learning, or AI.
- Strong hands-on expertise in Python programming.
- Strong experience with Machine Learning algorithms and model development.
- Hands-on experience in Deep Learning using frameworks such as TensorFlow or PyTorch.
- Strong knowledge of Generative AI and Large Language Models (LLMs).
- Experience building Retrieval-Augmented Generation (RAG) applications.
- Strong understanding of Natural Language Processing (NLP) concepts and libraries.
- Experience with MLflow, model versioning, experiment tracking, and MLOps practices.
- Experience working with AWS and/or Azure cloud platforms.
- Knowledge of vector databases such as Pinecone, FAISS, ChromaDB, or Milvus is preferred.
- Familiarity with frameworks such as LangChain, LlamaIndex, or similar is an advantage.
- Experience with REST APIs, Docker, Kubernetes, and CI/CD pipelines is desirable.
Why Join CodeVyasa?
- Work on innovative, high-impact projects with leading global clients.
- Exposure to modern technologies, scalable systems, and cloud-native architectures.
- Continuous learning and upskilling opportunities through internal and external programs.
- Supportive and collaborative work culture with adaptable policies.
- Competitive salary and comprehensive benefits package.
- Free healthcare coverage for employees and dependents.
📌 CodeVyasa - Data Scientist - Machine Learning (India)
🏢 Code Vyasa
📍 India