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Fresher role in metro with popular AI title but niche LLM skills lead to moderate competition.
Specialized LLM, model training, and Hugging Face ecosystem skills limit transferability across non-ML industries.
Many mandatory ML/AI skills plus staged quiz, coding and technical interviews enforce strict shortlisting.
Monitor and evaluate emerging AI techniques with focus on generative AI, agentic systems, and model optimization.
Reproduce research results and develop proof-of-concept AI prototypes suitable for deployment in cloud and edge environments.
Collaborate with engineering and product teams to transition validated AI models and techniques into production-ready software, including documentation and integration support.
Bachelor's or Master's degree in AI, Machine Learning, Computer Science, Electronics, Mathematics, or a relevant field.
Strong programming skills in Python and experience with PyTorch and Hugging Face ecosystem.
Solid understanding of machine learning and deep learning fundamentals including Transformer architectures and fine-tuning methods like LoRA/QLoRA.
Work Experience Required: Not explicitly mentioned in the JD.
Comfortable critically reading and reproducing research papers, and translating findings into practical AI software implementations.
Experience or strong interest in benchmarking AI models for accuracy, latency, and resource usage on target hardware.
Familiarity with advanced AI techniques such as transformer internals, LLM inference pipelines, experiment tracking, and possibly GPU programming concepts.