Top Machine Learning Jobs in Hyderabad

Design, implement, and deliver Java backend solutions following provided designs and standards. Participate in troubleshooting, code reviews, testing, automation pipelines, and agile ceremonies. Collaborate with peers, seek mentorship, and apply basic ML/GenAI model development experience.

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).

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 and build massively scalable software and systems; architect low-latency infrastructure; address cybersecurity concerns; apply machine learning with financial engineering to solve complex client problems and drive new product capabilities.

Design, build, and configure web applications to meet business requirements. Contribute to architecture, code reviews, documentation, and team discussions. Own solutions, follow SDLC best practices, and act independently as an SME. Work includes backend Python/Flask/Django development, frontend React/Next.js, and database/SQL integration.

As a Software Engineering Associate Advisor, you will design backend services for AI applications, integrate LLMs, and ensure system security, collaborating with teams.

Lead quality engineering across product teams, focusing on testing, CI/CD/DevOps and ML model deployment. Drive process and IT security improvements, define product specs, design test procedures, and manage/direct reports to deliver quality outcomes.

Lead and mentor a data science team, develop ML solutions, drive AI/ML initiatives, ensure model performance and fairness, and foster innovation.

The Software Engineering Lead Analyst will design and develop AI-driven solutions, oversee machine learning models, and ensure integration with existing systems, focusing on automation and continuous improvement.

The Software Engineering Lead Analyst will design and implement AI-driven solutions using Python, machine learning, and modern AI tools while enhancing development processes and tools.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.

Early-career Performance Engineer in the Binance Accelerator Program. Perform hands-on performance testing and tuning, design AI-powered test strategies using LLMs and ML, build AI-driven anomaly detection and bottleneck analysis tools, research new AI technologies, and improve reliability of large-scale distributed systems.

Lead an RPA team to design, develop, test, deploy, and maintain scalable automation bots (UiPath/AA/Blue Prism). Collaborate with stakeholders to assess processes, manage projects, mentor developers, troubleshoot bots, and report progress to senior management.

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.

The Forward Deployed Engineer is responsible for designing, developing, and deploying agent-based AI solutions using the Workato platform, collaborating with cross-functional teams and ensuring efficient AI workflows for enhanced IT operations.

The Principal Architect leads the technical architecture for enterprise programs, ensuring scalable solutions and driving technology best practices while collaborating with leadership on innovative strategies.

The Staff Engineer in Machine Learning will guide teams, solve client challenges, and enhance solutions leveraging their technical expertise.

Design, implement, and optimize enterprise search solutions using Elasticsearch; manage clusters, replication, sharding, backup/recovery; develop semantic search with BERT-based models; improve relevancy through role-based indexing and boosting; integrate search with knowledge management tools; monitor performance for scalability and observability; collaborate with cross-functional teams.

The role involves developing enterprise applications using Java and Spring, integrating AI features, mentoring junior developers, and collaborating with cross-functional teams.

Lead design, develop, test and support SAP ABAP solutions, deliver RICEFW objects, integrate SAP with third-party systems, optimize performance, produce technical documentation, mentor junior developers, and help adopt AI/automation in the SAP ecosystem.

Lead the development of scalable enterprise software and AI/ML solutions for capital markets, ensuring compliance and high performance. Oversee the engineering team, define technical roadmaps, and drive innovation in software applications.

Create and review realistic, domain-specific robotics tasks in Hindi; apply scoring rubrics; evaluate AI and human responses for accuracy, regulatory alignment, and professional quality; and produce gold-standard solutions and expert feedback.

The GIS Manager will lead geospatial initiatives for catastrophe risk modeling, managing teams, and overseeing project execution and data management.

The Senior Software Engineer will design and maintain backend software, APIs, and collaborate with various teams to enhance product offerings and scale services.