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Tier-1 employer, mid-level ML generalist role in Bangalore with broad cloud and GenAI requirements.
Strong ML and cloud skills transfer broadly, but regulated-finance experience increases domain specificity.
Explicit 3+ years, mandatory Python/ML/cloud/Terraform and regulated-environment experience make filtering strict.
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Design and deliver secure, scalable software and ML-driven products within Asset & Wealth Management utilizing Python and cloud technologies (AWS, Azure).
Collaborate with Data Science, Cybersecurity, DevOps, and other tech teams on LLM and AI-integrated projects.
Develop, review, and optimize production-level code leveraging AI-assisted development tools and ensure adherence to secure coding and SDLC best practices.
3+ years of applied software engineering experience with formal training or certification.
Advanced Python programming skills with proven experience in building and operating scalable ML-driven products.
Hands-on experience in Azure and AWS cloud platforms and familiarity with large-scale cloud-native architecture and microservices optimization.
Experience working in a highly regulated environment and proficient with Software Development Life Cycle processes, including Terraform and Infrastructure as Code (IaC).
Experienced in integrating AI and ML technologies into software solutions within regulated financial services or comparable environments.
Skilled in using enterprise-authorized AI-assisted software development tools critically and securely within engineering workflows.
Able to collaborate effectively across diverse technical teams including Data Science, Cybersecurity, and DevOps for delivery of complex cloud-native projects.