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Tier-1 brand, metro Chennai, broad ML/fullstack skillset, and visible senior role increase candidate competition.
Role requires deep ML, data engineering, cloud, and financial-domain experience, making background fit highly specific.
Explicit 10+ years, VP seniority, and many mandatory ML/cloud/framework skills raise strictness.
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Lead development and deployment of AI/ML solutions using microservices, RESTful APIs, and distributed architectures with 10+ years of expertise.
Drive cloud-native architecture and big data engineering including ETL/ELT pipelines, data storage, and batch/stream processing in large-scale financial services environments.
Oversee AI/ML model integration (e.g., Gemini, OpenAI, LangChain), deployment (Docker, production APIs), and enterprise agile delivery aligned with SAFe framework.
10+ years of experience in microservices, distributed architectures, AI/ML development, and data engineering.
Proficiency in Python, FastAPI, Java, Spring AI, PyTorch, TensorFlow, and AI frameworks like LangChain, Hugging Face.
Experience with cloud platforms (AWS, Azure, GCP), container orchestration, DevOps practices, and CI/CD pipelines.
Work Experience Required: 10+ years in relevant AI/ML and technology roles; Industry Experience: Large-scale financial services enterprise environments.
Senior-level engineer comfortable operating at the intersection of AI/ML development, cloud-native systems, and enterprise agile environments.
Experienced in leading cross-functional teams and managing stakeholder communications including executive reporting.
Capable of handling complex distributed and microservices architectures with expertise in cutting-edge AI foundational models and orchestration frameworks.