Gen ai researcher

Job Location: Chennai, Bangalore, Noida, Hyderabad As a Gen AI Researcher, you will develop and optimize domain specific large language models (LLMs) and small language models (SLMs) to address unique domain specific challenges and deliver innovative solutions. Your role includes creating advanced SLMs and LLMs for specific domains, focusing on supervised fine tuning, reinforcement learning from human feedback (RLHF), pre and post training, evaluation, and multi-modalities. Key Responsibilities: Conduct cutting edge research in the field of NLP and develop advanced SLMs and LLMs tailored to domain specific applications. Design, implement, and optimize language models to solve domain specific problems effectively and efficiently. Analyze and preprocess large datasets to ensure high-quality input for training SLMs and LLMs. Design and Evaluate the performance of language models using appropriate metrics and benchmarks, and iterate on improvements. Developing and implementing methods that extend and improve model capabilities, reliability, and safety Work closely with cross functional teams, including domain experts, data engineers, and software engineers, to integrate language models into the production. Publish research findings in top tier conferences and journals, and communicate results to both technical and non technical stakeholders. Keep abreast of the latest advancements in the field of NLP, ML, and AI, and apply relevant techniques to ongoing projects. Qualifications: Ph. D. in Computer Science, Computational Linguistics , Data Science, Artificial Intelligence, or a related field with a focus on NLP or ML. Bachelor's or Master’s degree in Computer Science, Computer Engineering, relevant technical field. At least 1 year of experience in developing and optimizing SLMs and LLMs, focusing on foundation model training, supervised fine tuning, reinforcement learning from human feedback (RLHF). Solid understanding of various fine-tuning techniques like full fine tuning, PEFT techniques like Lo RA, QLo RA and the strategy to adopt for various objectives Have solid ML and RL software engineering and scientific research skills Have produced novel research related to fine tuning SLMs / LLMs or improving upon pretrained SLMs / LLMs Proven experience in Gen AI libraries / frameworks, including but not limited to Lang Chain, Lang Graph, Llama Index and Lang Smith. At least 5 years of Research experience in one or more of these areas: NLP, speech, computer vision, Multimodal, machine learning, deep learning, or related fields. Proficiency in programming languages such as Python, and experience with NLP/ML frameworks like Tensor Flow, Py Torch, and Hugging Face, as evidenced by released code (e.g. on Git Hub) or elsewhere Familiarity with domain specific applications and the ability to translate domain knowledge into effective language models. Knowledge of Responsible AI practices and compliance with relevant laws is a plus. Industry experience with large-scale data processing, distributed computing, or cloud platforms. Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms is a plus. Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences. Ability to work collaboratively in a team environment and contribute to a positive and productive work culture.