Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
High competition from popular GenAI role, metro locations, broad skillset, and recognized analytics employer.
Medium: core ML/LLM skills transfer across industries, but GenAI depth and cloud tooling preferences increase specialization.
High due to extensive mandatory GenAI, ML, cloud, and deployment technical requirements.
Design and implement advanced Large Language Model (LLM) based solutions end-to-end including development, testing, deployment, and maintenance.
Conduct research and stay updated on generative AI and LLM technologies while developing code libraries and frameworks supporting generative AI.
Collaborate with cross-functional teams to align product roadmaps, integrate software into core systems, and uphold high code quality standards through code reviews.
Hands-on experience with NLP use cases such as classification, topic modeling, Q&A/chatbots, summarization, and content generation.
Proficiency in generative AI tools including SaaS LLMs (Lang chain, llama index), vector databases, prompt engineering techniques, and familiarity with cloud AI platforms (Azure OpenAI, Google Vertex AI, AWS Bedrock).
Strong programming skills in Python and experience with Docker, FastAPI/Django/Flask, Git; experience with TensorFlow/PyTorch and huggingface library.
B.E/B.Tech/M.Tech in Computer Science or related field OR equivalent degree; work experience required: Not explicitly mentioned in the JD.
Demonstrated ability to independently own and deliver end-to-end LLM-based AI solutions in production environments.
Experience working across cloud platforms (Azure, AWS, GCP) with additional cloud certifications preferred.
Strong analytic and problem-solving orientation with ability to collaborate closely with cross-functional technical teams and contribute to roadmap planning.