Top Machine Learning Jobs in Bangalore

Lead Tier 2/3 diagnostics and remediation for 4G/5G core outages in cloud-native environments. Drive RCA and chronic incident tracking, implement AI-driven monitoring, reduce MTTR, and mentor the NOC team.

Design, build, and maintain core backend infrastructure and microservices to support ML, frontend, and platform teams. Implement distributed configuration, rate limiting, feature flags, A/B testing, traffic capture/replay, and improve performance, scalability, and observability. Deliver interdependent, deadline-sensitive features end-to-end and influence the infrastructure roadmap.

The Engineering Lead will design and implement technical features, work on ML pipelines, and mentor engineers while ensuring high-quality deliverables. This role requires collaborating with teams and managing the ML lifecycle for business value.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

Build end-to-end internal audit applications and dashboards to automate control testing and continuous risk monitoring. Integrate data pipelines, LLMs/ML, and cloud-native microservices to deliver near real-time risk insights and partner with auditors and data engineers on telemetry and deployments.

Design, build, and maintain core backend infrastructure and microservices powering Moveworks' Agentic AI platform. Improve performance, scalability, observability, and deliver interdependent, deadline-sensitive features end-to-end. Own infrastructure roadmap and systems such as distributed config, rate limiting, feature flags, A/B testing, and traffic capture/replay.

Manage and grow a team responsible for observability, monitoring, and integrations across monetization systems. Improve reliability and data quality for billing, provisioning, subscriptions, and revenue-impacting workflows; define telemetry and integration strategies; implement anomaly detection and incident management; and partner with cross-functional stakeholders to ensure reliable customer and financial workflows.

Lead Tier 2/3 diagnostics and resolution for cloud-native 4G/5G core outages, drive root-cause analyses and chronic-incident fixes, implement AI-driven monitoring, and provide technical guidance and training to the NOC to reduce MTTR and improve network stability.

Design and deliver end-to-end packet core and 5G core solutions, optimize network performance, collaborate with product, R&D and customer teams, lead transformations, perform protocol and data analysis, and support deployment and knowledge transfer.

Lead backend platform engineering for Horizon 8: design and implement scalable microservices, RESTful APIs, containerized deployments (OVA/VM and Kubernetes), CI/CD, debug distributed systems, mentor engineers, and collaborate across product and support teams to deliver secure, high‑performance virtual desktop infrastructure features.

The Senior Engineering Manager will lead engineering teams to build scalable infrastructure and products for the Databricks platform, ensuring high technical standards and supporting engineers in their development while collaborating with product leadership.

Lead design and delivery of firmwide cloud FinOps engineering: build data pipelines, cost allocation, forecasting, anomaly detection, policy-as-code guardrails, AI-enabled insights, and partner across Finance, Procurement, Risk and Security to improve cloud efficiency and controls.

Design and implement scalable backend services, APIs, and integrations for an Agentic AI platform. Write maintainable Python/C#/.NET code, deploy with Docker/Kubernetes on Azure, integrate with LLMs/ML systems, implement unit tests, review code, and collaborate with frontend and stakeholders.

Own reliability, latency, and availability for bank payment corridors; build bank-agnostic integration layers; drive SLOs, observability, retry/circuit strategies and API design; partner with banks and cross-functional teams to reduce SRs and scale payouts, using AI/ML for anomaly detection and predictive rerouting.

The IT Collaboration Platform Engineer will lead the design, development, and operation of cloud-based collaboration services, manage platform integrations, and ensure governance and compliance while driving innovation and optimization.

As a Senior Engineer in Data & ML Platform, you will build ML pipelines, design scalable data platforms, and collaborate with teams on ML solutions to support business decisions.

The Business Systems Analyst will bridge business and technical teams, focusing on enhancing Order Management processes using Oracle applications, ensuring timely and on-budget solution delivery.

ValGenesis is hiring software engineers at all levels, focusing on collaboration and innovation. Roles require 2 to 12 years of experience across various engineering disciplines.

Design and implement backend services, APIs, and integrations for LoanIQ within an agile pod. Write maintainable Python/C#/.NET code, build unit tests, containerize and deploy with Docker/Kubernetes, work with Azure, databases, and integrate with LLM/ML systems. Participate in code reviews, technical specifications, and collaborate with front-end and stakeholders to ensure scalable, high-quality enterprise backend solutions.

The Engineering Manager for Sales Systems will lead a team to develop scalable sales systems and improve engineering standards and processes while collaborating with various stakeholders.

Lead customer engagements to develop and deploy digital implementation methodologies from RTL-to-GDSII. Troubleshoot complex tool and flow issues, evangelize new technologies, mentor AEs, collaborate with product and sales teams, and implement ML-based solutions to improve productivity and PPA.

The CAE Analyst is responsible for conducting structural and thermal analysis, fatigue life calculations, and solving complex FEA problems to support appliance product development at GE Appliances.

Design, implement, and manage tools and systems for application lifecycle on eBay's private cloud. Build CLI experiences, integrate open-source tech (e.g., Kubernetes), develop automation and diagnostics in Go/Java, ensure security and observability, and collaborate with teams to drive platform adoption and reliability.

Lead technical direction and delivery for a core NIRA backend domain: design and ship high-volume web APIs, own architecture for distributed and queue-based systems, drive complex initiatives, mentor engineers, lead incident response, champion AI dev tools, and align cross-functionally to simplify systems and influence roadmap.

Develop, test, debug, and document C/C++ software on Linux for semiconductor equipment. Implement new features, algorithms, and calibrations; maintain existing code; troubleshoot complex issues; collaborate with teams and learn domain/product specifics to deliver enhancements and fixes.