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Mid-level LLM/ML role in metro locations with broadly demanded skills increases applicant competition.
ML/LLM specialist skills are transferable across industries but still require strong domain experience, yielding medium sensitivity.
Explicit 5-8 years plus mandatory ML/LLM, PyTorch, Transformers, MLOps and LangChain creates strict technical filters.
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Develop and maintain end-to-end machine learning pipelines including model development, tuning, deployment, and MLOps.
Apply expertise in Large Language Models (LLMs) such as OpenAI models and techniques like Retrieval Augmented Generation to solve AI problems and improve LLM performance.
Collaborate closely with business and product teams to derive use cases from data and implement analytics solutions, communicating findings to both technical and non-technical stakeholders.
5 to 8 years of relevant work experience in machine learning and AI model development.
Proficiency in Python, Scikit-Learn, PyTorch, SQL, Transformer models, LangChain, and LLM model building, fine-tuning, and evaluation.
Experience with model hyperparameter tuning, performance metrics, and deployment of machine learning and deep learning/LLM models.
Work location options include Noida, Indore, Bangalore, and Gurgaon, India.
Experienced in building transformer-based machine learning pipelines with strong problem-solving and solution design skills for AI/ML applications.
Demonstrates ability to work cross-functionally with business and product teams to translate data into actionable analytics solutions.
Keeps abreast of the latest AI advancements and applies research and innovation to practical machine learning tasks involving LLMs and MLOps.