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Mid-level ML role in Bengaluru with broad skillset at a known multinational yields high candidate competition.
Core ML and data-engineering skills are transferable across industries, though fintech exposure is a differentiator.
Explicit 5+ years plus numerous mandatory ML, big-data, and engineering skills makes shortlisting highly strict.
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Design, develop, and deploy scalable AI/ML models and large-scale data architectures for real-world business and customer problems.
Build and maintain data pipelines and big data environments using tools like Kafka, Spark, and cloud platforms (AWS/Azure/GCP).
Develop advanced AI applications including LLM-powered apps, multi-agent AI systems, and contribute to innovation, research, and proof-of-concept projects.
5+ years of relevant work experience.
Bachelor’s degree in Computer Science or related field (Master’s preferred but not mandatory).
Strong hands-on skills in machine learning, big data technologies (Hadoop, Spark), Python programming, and cloud platform experience (AWS/Azure/GCP).
Proficiency with Java/Scala programming, RDBMS and NoSQL databases, and experience with DevOps (Jenkins, CI/CD) tools.
Experienced in building production-grade AI/ML solutions and prototypes with emphasis on scalability and reliability in enterprise environments.
Familiarity with LLM-based applications, agentic AI systems, and MLOps/model lifecycle management to support operational AI.
Comfortable working cross-functionally in Agile teams, translating business requirements into technical solutions, with exposure to financial services preferred but not mandatory.