Top Machine Learning Jobs in Hyderabad

Leads the design, development, and maintenance of scalable .NET and cloud-based microservices across Azure and AWS. Provides technical leadership through architecture, code and design reviews, mentoring, performance optimization, troubleshooting, and cloud cost analysis. Establishes CI/CD, automated testing, infrastructure-as-code, and deployment practices while ensuring scalability, availability, and non-functional requirements. Collaborates across teams to define solutions, estimate work, integrate systems, and evaluate emerging AI, machine learning, and cloud technologies.

Monitor inline defectivity, analyze process and defect data, investigate anomalies, and drive corrective actions and continuous improvement in semiconductor manufacturing. The role uses inspection and metrology tools, supports experimentation and baseline health monitoring, collaborates with global manufacturing and yield teams, and helps transfer technologies into production while improving process quality and yield.

Lead full-chip floor planning, custom analog and mixed-signal layout, physical implementation, verification signoff, and tape-out for advanced memory and high-speed interface designs. Own DRC, LVS, ERC, EMIR, reliability, and manufacturability closure. Define scalable layout methodologies, drive AI-enabled design automation, lead global cross-functional teams, mentor engineers, and deliver advanced-node semiconductor products.

Manage verification for complex DRAM design projects, develop methodologies, lead teams, provide technical advice, and enhance AI-driven verification processes.

Work in a cross-functional team to develop, implement, and apply numerical and multi-physics models for materials, structures, and processes supporting memory development. Use scientific computing, computational materials methodologies, and ML techniques to analyze results, report findings, and collaborate on next steps. Position is temporary (up to 12 months).

Leads a semiconductor RDA team focused on defect detection, process anomaly identification, inspection technology development, data analysis, and continuous improvement for NAND technology development. Partners with process integration, data science, yield analysis, suppliers, and global manufacturing teams to develop inspection roadmaps, improve detection techniques, manage projects, establish program metrics, and transfer best-known methods across sites. Mentors engineers and drives root-cause analysis, innovation, and technical problem solving.

Develops and improves software applications and cloud services using C# and Azure-related technologies. Responsibilities include gathering requirements, creating designs, writing and optimizing code, debugging, managing dependencies, supporting project and release plans, monitoring production systems, and resolving incidents. The role also guides other engineers, improves reliability and observability, collaborates with customers and stakeholders, and adapts to emerging cloud, AI, and software engineering trends.

Leads the engineering organization responsible for Tide’s KYX onboarding, continuous due diligence, identity and access, risk scoring, and machine learning capabilities. Owns engineering strategy, distributed team leadership, model lifecycle management, agentic AI deployment, regulated workflow governance, and global platform execution. The role partners with operations, policy, risk, compliance, product, and regulators to improve onboarding conversion, due diligence quality, automation, and cost per member.

Develops, refactors, tests, and reviews software applications and framework components using .NET technologies. Builds tools to automate hardware and software release processes, improves coding standards, estimates work, and delivers projects on schedule. Provides developer training, mentorship, and technical support. Requires substantial software development experience, Azure expertise, and hands-on experience with AI, machine learning, or generative AI solutions.

Develop and maintain DirectX graphics drivers for NVIDIA GPUs, develop graphics and AI-based rendering features, and build AI-agent automation for debugging, testing, triage, code analysis, documentation, and developer productivity. Collaborate across teams to deliver software objectives while improving quality and engineering workflows.

Lead technical vision and architecture for large-scale, low-latency data systems; contribute hands-on to core code and production support; drive cross-team alignment; mentor engineers; refine data pipelines and CI/CD; apply AI tools to improve workflows; collaborate with Ads and Bing to integrate shared infrastructure and deliver reliable, scalable platforms.

Leads the design and operation of scalable backend services, telemetry systems, data pipelines, and diagnostic workflows for Windows device health. Defines metrics and measurement strategies, analyzes large-scale telemetry, investigates regressions and customer impact, and translates findings into engineering improvements. Establishes reliability, security, observability, and data-quality standards while mentoring engineers and influencing architecture across Windows, data science, security, silicon, OEM, and service teams.

Designs, builds, deploys, and operates backend services, telemetry systems, and data pipelines for Windows device health. Analyzes large-scale telemetry and diagnostic signals to identify regressions, trends, anomalies, and customer impact. Develops metrics, dashboards, alerts, automation, and AI-assisted diagnostic workflows while improving reliability, security, observability, data quality, and deployment safety. Collaborates across teams, contributes to technical designs and code reviews, resolves dependencies, and mentors less-experienced engineers.

Develop and execute verification and validation strategies for embedded software, power-system protection and control products, and industrial communication protocols. Build Python-based automated test frameworks, simulators, and AI-assisted testing agents; perform interoperability, integration, regression, performance, and fault-injection testing. Analyze logs and network traces, troubleshoot firmware and system issues, and conduct root-cause analysis across relays, IEDs, RTUs, SCADA systems, and substations. Maintain CI/CT pipelines and ensure AI-driven testing remains traceable, explainable, repeatable, and human-validated.

Develop and ship Yahoo Mail mobile features for Android, owning projects from technical design through deployment, monitoring, and improvement. Build scalable solutions using Kotlin, Java, Android frameworks, Jetpack Compose, and React Native; integrate APIs; address performance, reliability, and usability challenges; conduct code reviews; collaborate cross-functionally; mentor teammates; and use AI development tools to improve engineering productivity while maintaining quality and security.

Leads software engineering for products, applications, services, or platforms. Responsibilities include gathering requirements, designing solutions, writing and optimizing code, managing dependencies and releases, monitoring systems, responding to incidents, improving reliability and performance, and mentoring engineers. The role requires strong customer engagement, analytical skills, cloud and AI knowledge, and collaboration across engineering and business stakeholders.

Principal Software Engineer responsible for designing, implementing, optimizing, debugging, and maintaining software, applications, services, or platforms. The role drives requirements analysis, architecture documentation, release planning, reliability, observability, monitoring, and incident response. It also guides engineers, collaborates with customers and stakeholders, and applies cloud, AI, search, and security expertise to improve scalable technology solutions.

Leads backend engineering teams developing reliable, scalable applications with Node.js and TypeScript. Oversees system integrations across cloud and on-premises platforms, API and database connectivity, transaction management, failure recovery, validation, retries, and AI capability implementation. Supports distributed system architecture, microservices, cloud services, and application optimization, with preferred AWS experience. Collaborates across departments and manages developers delivering secure, highly available backend products.

Lead Tide’s engineering organization for fraud, financial crime, and ongoing monitoring platforms. Set strategy across backend, frontend, data science, ML, and analytics engineering; own decisioning platforms and model lifecycles; scale agentic AI in regulated workflows; and align risk, compliance, operations, payments, and technology teams. The role is accountable for improving fraud detection, reducing losses and monitoring costs, increasing automation, and building globally scalable platforms that meet regulatory standards.

Build scalable, low-latency backend APIs, event-driven services, integration layers, and microservices supporting personalization and recommendation experiences. Partner with AI/ML and data engineers to deploy models, expose AI services, and develop React applications. Improve security, observability, reliability, performance, scalability, and operational efficiency while using AI-assisted engineering tools to enhance delivery and code quality.

Leads enterprise architecture for scalable, multi-tenant SaaS systems and cloud-native platforms. Owns AWS architecture, distributed data pipelines, cost optimization, security, governance, and architectural standards. Drives GenAI and machine learning adoption across the software development lifecycle, builds self-service capabilities, guides engineering teams, conducts prototypes, and leads architecture reviews. Requires deep hands-on cloud, distributed systems, coding, infrastructure automation, AI/ML, and strategic technology leadership experience.

Lead a software engineering team developing Windows device optimizations across hardware, firmware, operating system, services, and applications. Set technical direction and roadmap, guide complex performance, reliability, debugging, power, and telemetry initiatives, and deliver reliable solutions at scale. Hire, coach, and retain engineers while collaborating with Windows teams, OEMs, silicon vendors, hardware partners, and senior stakeholders.

Develop and deploy digital twins, multiphysics and structural models, and physics-informed AI to predict and optimize semiconductor process-structure-performance interactions. Apply computational materials science, ML, GenAI/LLMs, and sparse-data methods to accelerate technology development, yield, and reliability. Collaborate with global engineering teams to translate modeling insights into fab-technology co-optimization.

Lead advanced structure and stress modeling using FEA and level set methods; develop constitutive and thermo-mechanical models; apply scientific computing and ML concepts; use Abaqus/ANSYS for analysis; document results, write reports and collaborate across teams; semiconductor industry experience desirable.

Designs, develops, deploys, and supports Tungsten TotalAgility solutions for intelligent document processing and business process automation. Responsibilities include configuring document classification, extraction, OCR, workflows, forms, queues, and business rules; developing integrations, scripts, and connectors; troubleshooting production issues; supporting testing and releases; and collaborating with stakeholders. The role also contributes to AI, machine learning, and automation initiatives.