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Strong Tier-1 brand but senior, specialized ML/NLP role limits applicant pool to medium competition.
Highly specialized ML/NLP and LLM expertise required reduces cross-industry transferability.
Explicit 9+ years, mandatory ML/NLP, LLM and tech stack requirements create strict shortlisting filters.
Develop and deploy innovative AI and NLP solutions to business problems, focusing on cutting-edge technologies and production-ready capabilities.
Research and evaluate new AI data sources, trends, and methodologies to enhance organizational data science capabilities.
Perform data analysis, feature engineering, and model optimization ensuring fairness, transparency, and accountability throughout the development lifecycle.
Bachelor's degree or higher in Computer Science Engineering with a focus on language processing.
9+ years of experience in AI/ML roles with expertise in machine learning techniques including supervised, unsupervised, reinforcement learning, deep learning, and NLP.
Proficiency in Python, PyTorch, SQL, and experience with NLP libraries such as Hugging Face and OpenAI API.
Experience with cloud platforms (Azure, AWS, GCP), containerization (Docker), and building APIs (FastAPI, REST); understanding of LLMs and RAG architecture.
Experienced AI/ML scientist with strong NLP R&D background and demonstrable impact in deploying LLMs and NLP pipelines in production environments.
Technical collaborator adept at integrating cutting-edge AI research with engineering and product teams to deliver scalable solutions.
Skilled in ethical AI practices, balancing technical innovation with fairness and accountability across the model lifecycle.