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Strong employer brand, metro location, and mid-level (6-8yr) role increase candidate competition.
Specialized LLM/GenAI and production ML experience transfer across industries moderately, requiring domain and deployment experience.
Explicit 6-8 years, mandatory LLM/ML experience, Python and AWS ML requirements make shortlisting strict.
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Lead research and development to design and implement LLM and ML models focused on text extraction, analysis, and actionable insights, ensuring up-to-date application of GenAI technologies.
Develop, fine-tune, and optimize ML/LLM models to match customers with relevant content, managing the end-to-end lifecycle from prototyping to scalable, reliable production deployment.
Collaborate cross-functionally with engineering and product teams to align development roadmaps and deliver measurable business value, while mentoring junior engineers and promoting continuous improvement.
Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent hands-on software development experience.
6-8 years of professional experience in software engineering with proven delivery in Agile Scrum environments.
Proficiency in Python and strong understanding of Object-Oriented Programming principles.
Experience deploying and managing scalable machine learning solutions on AWS using ML/LLM tools, and demonstrated experience working with various LLMs (e.g., OpenAI, Cohere, Anthropic, Llama).
Experienced in leading R&D initiatives in LLM/GenAI and advanced machine learning technologies including NLP, BERT, Transformers, and deep learning.
Strategic thinker capable of bridging technical implementations with business impact, comfortable working in fast-evolving AI/ML landscapes and evangelizing new technologies.
Able to work collaboratively with senior leadership and cross-functional teams, driving timely delivery of high-quality AI-driven features while mentoring others.