Location - Airoli, Mumbai
Contract Duration - 9 months (Extendable to a year)
Key Responsibilities :
- Design and implement scalable data intelligence platforms that integrate structured and unstructured data sources.
- Develop and fine-tune Generative AI models (LLMs, GANs, Diffusion Models) for tasks such as text generation, synthetic data creation, and content automation.
- Collaborate with data engineers, ML engineers, and product teams to deploy AI solutions into production environments.
- Build and maintain data pipelines , feature stores, and model monitoring systems.
- Apply prompt engineering techniques to optimize LLM performance for business use cases.
- Conduct experiments and A / B testing to evaluate model performance and business impact.
- Ensure compliance with data governance, privacy, and ethical AI standards.
- Expertise in AKS.
- Should be able to integrate the solution in current landscape.
Required Qualifications :
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.3-5 years of experience in data science, machine learning, or AI engineering.Hands-on experience with LLMs (e.g., GPT, Claude, LLaMA) and frameworks like Hugging Face, LangChain, or OpenAI APIs.Proficiency in Python , SQL, and cloud platforms (AWS, Azure, or GCP).Strong understanding of data modeling , ETL processes , and MLOps .Experience with vector databases , embedding models , and retrieval-augmented generation (RAG) is a plus.Preferred Skills :
Experience with knowledge graphs , semantic search , or data fabric architectures .Familiarity with AutoML , RLHF , or multi-modal AI .Excellent communication and stakeholder management skills.