About the Role
About the Role:
We are seeking a highly skilled and innovative Data Scientist with deep expertise in Generative AI and Large Language Models (LLMs) to join our growing AI team. In this role, you will work on cutting-edge applications of LLMs across a range of domains including NLP, content generation, summarization, personalization, and intelligent automation. You’ll collaborate with cross-functional teams to build, fine-tune, and deploy AI-driven solutions that drive business impact.
Key Responsibilities:
Design, develop, and deploy scalable solutions using Generative AI and LLMs (e.g., GPT, Claude, LLaMA, Mistral).
Fine-tune and optimize pre-trained models on proprietary datasets to meet specific business needs.
Conduct research and experimentation to evaluate new architectures, prompt engineering strategies, and model training techniques.
Collaborate with product, engineering, and data teams to integrate AI models into production systems.
Analyze large datasets to extract insights and support model evaluation, validation, and monitoring.
Stay current with the latest advancements in GenAI, transformers, and NLP to ensure state-of-the-art capabilities.
Contribute to internal knowledge sharing, documentation, and best practices for working with LLMs.
Requirements
Requirements:
Must-Have:
Bachelor's or Master’s in Computer Science, Data Science, AI/ML, or related field.
1-3 years of experience in data science or machine learning, with a strong portfolio of LLM/GenAI work.
Hands-on experience with modern LLM frameworks such as Hugging Face Transformers, OpenAI API, LangChain, etc.
Proficiency in Python and ML libraries (PyTorch, TensorFlow, scikit-learn, etc.).
Experience with prompt engineering, retrieval-augmented generation (RAG), and fine-tuning techniques.
Familiarity with cloud platforms (AWS, GCP, Azure) and ML deployment tools (Docker, MLflow, etc.).
Strong problem-solving, communication, and collaboration skills.
Nice-to-Have:
Publications or contributions to the AI/ML research community.
Experience with vector databases (e.g., FAISS, Pinecone, Weaviate).
Knowledge of MLOps and model lifecycle management.
Experience building chatbots, copilots, or intelligent assistants.
About the Company
Acess Meditech Private Ltd. (AMTPL) is an InsureTech Software Solutions Provider. We serve Insurance companies, Third Party Administrators, Aggregators and Insurance Brokers with cutting edge ERP solutions, helping the world’s leading insurers to innovate, collaborate and operate like a tech company: fast, simple and agile. Acess Meditech Private Limited (AMTPL) is appraised as CMMI Level- III (Capability Maturity Model Integrated Level -3 Company) from 2014 to 2016. Our head office is in Hyderabad, India, and we operate branches in KSA and UAE.