Data Scientist
2 days ago
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.
Job Summary:
We are seeking a highly skilled Data Scientist with strong hands-on experience in Databricks and AWS to join our dynamic data engineering team. The ideal candidate will be well-versed in PySpark, CI/CD pipelines, and Terraform for infrastructure as code. Experience with DAB (Data Access Broker) is highly preferred.
Key Responsibilities
- Design, develop, and optimize ML/AI models, with a strong focus on Natural Language Processing (NLP) and Large Language Models (LLMs).
- Build and train models using Python, PyTorch, TensorFlow, NumPy, and other relevant libraries.
- Research and implement novel techniques in generative AI, transformers, embeddings, and fine-tuning of LLMs.
- Deploy AI solutions on cloud platforms (AWS, Azure, GCP) ensuring scalability, security, and efficiency.
- Collaborate with data engineers and product teams to integrate ML models into production workflows.
- Monitor, evaluate, and improve deployed models for accuracy, robustness, and performance.
- Stay updated with the latest trends in AI, deep learning, and NLP research to drive innovation.
Required Skills & Qualifications
- Strong proficiency in Python and experience with PyTorch, TensorFlow, NumPy.
- Hands-on expertise in LLMs, NLP techniques (transformers, BERT, GPT, etc.), and deep learning architectures.
- Solid understanding of data preprocessing, embeddings, and model fine-tuning.
- Experience deploying AI solutions on cloud-based platforms (AWS/GCP/Azure).
- Ability to write clean, efficient, and optimized code for large-scale ML systems.
- Strong problem-solving skills with the ability to translate business challenges into AI solutions.
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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