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Mid-level ML role in Bengaluru at a well-known global firm with broad talent pool and popular title.
Requires applied ML and LLM expertise—skills transferable across industries but still domain-specialized.
Explicit 3+ years applied ML requirement plus mandatory LLM, PyTorch, and cloud skills increase strictness.
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Design and implement experiments and fine-tuning workflows on large language models (LLMs) using Python and ML frameworks under senior guidance.
Support benchmarking, evaluation, and performance analysis of generative AI models.
Assist in data preparation and document experiment results to enhance the GenAI platform.
Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or related technical field.
0–7 years of IT experience with 3+ years in applied machine learning/data science including internships or academic research.
Proficiency in Python programming and experience with ML frameworks such as PyTorch or TensorFlow.
Familiarity with LLM architectures, fine-tuning techniques, evaluation metrics for generative models, and cloud AI/ML services (AWS, Azure, or GCP).
Early-career professional focused on advancing LLM capabilities through experimentation and applied research.
Experience working in collaborative, senior-guided environments on AI model development projects.
Comfortable with hands-on implementation, data curation, and staying current with developments in generative AI.