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Tier-1 brand and metro locations, but senior ML specialization limits candidate pool.
Deep ML specialization but technical skills are reasonably transferable across industries.
High due to explicit 12+ years requirement and mandatory ML/LLM technical expertise.
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Develop software across the full lifecycle within a permanent feature team focusing on business, applications, data, and infrastructure.
Collaborate with principal engineers, architects, and stakeholders to understand platform design and align software with business objectives.
Design and implement resilient, long-lived software using Agile methods, emphasizing automation in build, test, and deployment activities.
At least 12 years of full stack software design and implementation experience.
Proficiency in Python and Machine Learning frameworks such as NumPy, Pandas, PyTorch, TensorFlow, and Transformers.
Hands-on experience with Large Language Models like OpenAI, Azure OpenAI, Anthropic, Llama.
Work Experience Required: 12+ years; Notice Period: Not explicitly mentioned in the JD.
Strong expertise in Machine Learning, Deep Learning algorithms, NLP, and vector embeddings to address complex problems.
Experience working within Agile teams and collaborating with business stakeholders to deliver pragmatic, business-aligned solutions.
Ability to communicate complex technical concepts simply to diverse stakeholders, indicating seniority and cross-functional interaction.