Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 employer, mid-level ML research role in metro Hyderabad but specialized LLM skills limit broad applicant pool.
Specialized LLM and agentic AI expertise limits transferability to other industries and non-research roles.
Explicit 3+ years plus mandatory LLM training, PyTorch, and research ownership increases candidate filtering.
Own mid-training and post-training research for large language models, making data and experimental decisions that impact downstream agent behaviors.
Research and prototype novel agentic architectures and algorithms across multiple AI capabilities including planning, reasoning, memory, skills, and multi-agent collaboration.
Design and implement evaluation methodologies and benchmarks for agent behaviors, identify model failure patterns, and drive projects from hypothesis to validated prototypes with measurable impact.
3+ years of experience in machine learning, deep learning, AI research, or related fields with demonstrated applied research experience.
Hands-on experience with large language model training and post-training, including one or more of continued pretraining, supervised fine-tuning, preference optimization, or reinforcement learning.
Strong Python and advanced PyTorch expertise, with experience modifying models, training pipelines, or research infrastructure.
Experience designing evaluation methodologies including benchmark design, trajectory-based evaluation, LLM-as-a-Judge, and human evaluation.
Proven ability to independently identify important research problems, develop novel hypotheses, and lead projects from idea to prototype and impact.
Experience working at the intersection of agentic AI capabilities such as planning, reasoning, memory, tool use, retrieval, and long-context processing.
Skilled in communicating technical findings effectively to researchers, engineers, and executive stakeholders, enabling transition of research into production.