Senior ML Engineer Windows Jobs in Hyderabad

Senior Data Scientist Data | Hyderabad, India | Full-Time About Salesforce We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business. Role Overview We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives. You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust. Key Responsibilities Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference). Create algorithms for marketing spend optimization and ROI improvement across multiple channels. Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning. Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact. Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks. Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches. Advocate responsible and ethical use of data and models in line with company policies. Required Skills & Experience Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields. 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity). Extensive experience in experiment design and causal inference for business impact evaluation. Strong programming skills in Python, R, PySpark, Java. Expert-level SQL skills for large-scale data exploration and manipulation. Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred. Exceptional quantitative reasoning and ability to translate analysis into actionable business insights. Excellent communication skills, capable of collaborating across diverse teams. Creative problem-solving mindset with ability to simplify complex challenges. Experience with B2B customer data and Salesforce products is a plus. Work on high-impact projects using state-of-the-art AI and analytics technologies. Collaborate with top-tier data science and marketing experts. Thrive in an innovative, inclusive culture that values Trust and continuous learning. Drive real-world business transformation at a global scale. If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply! Qualification : Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.

Senior MLOps Engineer Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years (with 3 years specifically in ML Engineering) Company: Blend About Blend: Blend is a premier AI services provider committed to driving meaningful impact through data science, AI, and technology. We empower businesses by seamlessly aligning human expertise with artificial intelligence to unlock innovation and value. Job Summary: We are looking for a Senior MLOps Engineer with deep expertise in building, deploying, and managing ML pipelines on AWS. The ideal candidate will have hands-on experience with Amazon SageMaker and a strong foundation in Infrastructure as Code to support scalable and reliable ML operations. Key Responsibilities: Maintain and enhance ML pipelines on AWS, focusing on Infrastructure as Code (IaC) using CloudFormation. Implement essential pipeline extensions to support ongoing data science workflows. Document infrastructure usage, system architecture, and designs using tools such as Confluence, GitHub Wikis, and system diagrams. Serve as the internal expert on ML infrastructure, collaborating closely with data scientists to guide and support model deployment. Research and apply optimization strategies for ML workflows and infrastructure performance. Work independently and collaboratively with cross-functional teams to support ML product deployment and platform migration initiatives. Qualifications: 5+ years of hands-on DevOps experience with AWS Cloud. Proven track record of deploying at least two MLOps projects using Amazon SageMaker or similar AWS ML services. Strong proficiency in AWS services including SageMaker, ECR, S3, Lambda, and Step Functions. Expertise in Infrastructure as Code with CloudFormation across development, testing, and production environments. Solid understanding of MLOps best practices and fundamental data science principles. Proficient in Python for scripting and automation tasks. Experience with building and managing Docker images. Hands-on experience with Git-based version control systems such as AWS CodeCommit or GitHub, including GitHub Actions for CI/CD pipelines. Work with cutting-edge AI and ML technologies in a highly innovative environment. Collaborate with top-tier experts in data science and cloud engineering. Opportunities for professional growth, mentorship, and certification support. Competitive compensation package and dynamic work culture. Interested? Apply now to be part of Blend s mission to revolutionize AI-driven innovation!

Principal AI + Windows Engineer Location: Hyderabad, Telangana, India Employment Type: Full-Time About the Role We are hiring a Principal Software Engineer to lead critical initiatives for the flagship Microsoft 365 Copilot App on Windows. Join our high-caliber team in India working at the forefront of AI innovation. You will be a key contributor to building AI-powered features that enhance productivity and collaboration across platforms, including Windows, Mac, Android, iOS, and web. Microsoft 365 Copilot is a transformative AI assistant already used by over 100 million users globally. This is a unique opportunity to impact billions of lives and shape the future of AI-powered productivity at scale. Key Responsibilities Design and implement robust, scalable features for the Windows-based Microsoft 365 Copilot application. Ensure feature integration aligns with overall product architecture and design principles. Develop and maintain automation, write test plans, and provide accurate task estimates. Embrace team-wide best practices for quality, security, and performance. Demonstrate strong ownership, accountability, and a continuous learning mindset. Collaborate across global teams including Product, Design, QA, and Engineering stakeholders. Participate in agile sprints and the full software development life cycle (SDLC). Required Qualifications Bachelor s degree in Computer Science or related technical field AND 6+ years of experience in software engineering, OR equivalent practical experience. Proficiency in one or more programming languages: C, C++, C#, Java, JavaScript, Python. Strong customer-centric mindset and a passion for delivering high-impact experiences. Excellent problem-solving skills and ability to work in fast-paced, ambiguous environments. Outstanding communication and cross-functional collaboration abilities. Preferred Qualifications 10+ years of industry experience OR Master s degree in Computer Science with 8+ years of experience. Background in Office technologies or experience developing for Windows, iOS, Android, or Mac platforms. Familiarity with cloud technologies and services, preferably Microsoft Azure. Hands-on experience with agile methodologies and large-scale commercial software products. At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. We value integrity, respect, accountability, and inclusion. As part of our team, you will be immersed in a culture of innovation and growth where everyone can thrive. Work with Purpose This role offers a once-in-a-career opportunity to work on cutting-edge AI technologies that will redefine how people interact with productivity software. If you are passionate about AI, Windows platforms, and building scalable, elegant, and secure solutions, we want to hear from you. Qualification : Bachelors degree in Computer Science or related technical field AND 6+ years of experience in software engineering, OR equivalent practical experience.

Senior AI + Windows Engineer Location: Hyderabad, Telangana, India Employment Type: Full-Time About the Role The Microsoft 365 Copilot India team is seeking high-caliber Senior Software Engineers to join a strategic initiative building next-generation AI-powered experiences for Microsoft 365 on Windows. Microsoft 365 Copilot is the flagship commercial AI Copilot solution, impacting millions of users globally across platforms (Windows, Mac, Web, Android, and iOS). As a Senior AI + Windows Engineer, you ll help shape key components of the Windows Copilot App, working in a fast-paced and impactful engineering environment with high visibility across the company. Key Responsibilities Collaborate with stakeholders to determine requirements and use cases for Windows-based AI features. Design, implement, and optimize high-performance, maintainable, and scalable code using C/C++ or C#. Participate in all phases of the SDLC design, coding, testing, debugging, and deployment. Develop and execute automation and test plans while providing accurate task estimates. Act as a Designated Responsible Individual (DRI) for system health monitor, respond to outages, and ensure high availability. Mentor junior engineers and support cross-team technical collaboration. Stay current with emerging trends and patterns in AI, distributed systems, and platform performance optimization. Required Qualifications Bachelor s degree in Computer Science or related technical field AND 4+ years of professional software engineering experience. Proficiency in at least one of the following: C, C++, C#, Java, JavaScript, Python. Strong software design, problem-solving, and debugging skills. Ability to rapidly grasp new technologies and systems. Effective communication and collaboration skills across engineering and product teams. Preferred Qualifications Deep experience with Windows platform development. Strong hands-on expertise in C/C++ for native Windows applications. Customer-first mindset and passion for crafting seamless user experiences. Experience with large-scale commercial software products or distributed systems is a plus. Be a part of a team building transformative AI solutions used by hundreds of millions of users. Microsoft fosters a collaborative, inclusive culture and invests in your learning, growth, and well-being. Employee Benefits Industry-leading healthcare coverage Generous time-off and leave policies Access to learning and development resources Employee discounts and savings programs Parental leave and family support benefits Global networking opportunities and giving programs Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, national origin, physical or mental disability, political affiliation, race, religion, sex, sexual orientation, or any other characteristic protected by applicable laws. Qualification : Bachelors degree in Computer Science or related technical field AND 4+ years of professional software engineering experience.

Software Engineer III - Artificial Intelligence/Machine Learning Company: Google Location: Hyderabad, Telangana, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio technologies (e.g., voice recognition), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies. About the Job Google's software engineers work on next-generation technologies that reshape how billions of users connect, explore, and interact with information. Our projects scale massively and extend well beyond web search. We're looking for engineers who can bring fresh ideas from diverse areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. As a software engineer, you will focus on critical projects and have opportunities to switch teams and roles as Google s fast-paced business grows. We need engineers who are versatile, demonstrate leadership skills, and are eager to tackle new challenges across the full-stack to help push technology forward. Our mission is to organize the world's information and make it universally accessible and useful. The Devices & Services team at Google combines AI, software, and hardware to create groundbreaking user experiences. We research, design, and develop new technologies to make user interactions faster, seamless, and more powerful. Whether capturing new ways to sense the world, advancing form factors, or improving interaction methods, the Devices & Services team is making a positive impact on people's lives through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation and educational content, adapting it based on updates and feedback. Triage product or system issues, debug, track, and resolve them by analyzing the sources of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilizing ML infrastructure and contributing to model optimization and data processing. Qualification : Bachelors degree or equivalent practical experience.

Sr Engineer/Sr. Lead - Generative AI Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team. In this role, you will develop and deploy advanced generative AI systems, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent agent frameworks. Minimum Qualifications Bachelor's degree and 3+ years of software engineering experience, or Master's degree and 2+ years, or Ph.D. with 1+ year of related experience 2+ years of academic or work experience in programming languages such as C, C++, Java, or Python Key Responsibilities Design and implement RAG-based solutions integrating LLMs with external knowledge sources Fine-tune LLMs for specific domains and use cases Develop evaluation frameworks to benchmark and improve generative model performance Build and manage agentic workflows for autonomous AI systems Collaborate with product, engineering, and research teams on AI integration Required Qualifications Bachelor's or Master's in Computer Science or related field 3+ years of experience in Machine Learning/AI engineering Expertise in Python and ML libraries/frameworks like PyTorch and TensorFlow Hands-on experience deploying and fine-tuning LLMs Experience with vector databases and embedding models Familiarity with AI/ML infrastructure on cloud platforms (AWS, GCP, Azure) Strong understanding of RAG architecture Preferred Qualifications Experience with Langchain, LlamaIndex, or Hugging Face Transformers Knowledge of prompt engineering and chain-of-thought reasoning Experience with microservices and containerization (e.g., Docker, Kubernetes) Background in NLP, deep learning, and reinforcement learning Contributions to open-source AI projects Familiarity with MLOps and model deployment pipelines Skills & Competencies Strong problem-solving and analytical mindset Excellent communication and collaboration skills Ability to manage multiple projects in agile environments Focus on clean, maintainable, and efficient code Awareness of ethical AI practices and responsible development Qualification : Bachelor's or Master's in Computer Science or related field

Key Responsibilities: Design and implement new solutions and improve resilience of the current environment. Maximize network performance by monitoring performance, troubleshooting network problems and outages, scheduling upgrades. Secure network systems by establishing and enforcing policies, and defining and monitoring access. Configure routing and switching equipment, hosted IP voice services and firewalls. Provide remote support to on-site engineers and end users/customers during installation/maintenance. Installing Operating Systems on Blade/Tower Servers with RAID. Windows & Linux Systems Hardware/Network performance monitoring using Zabbix or any other monitoring tool. Protect organization's value by keeping information confidential. Accomplish organization goals by accepting ownership for accomplishing new and different requests. Exploring opportunities to add value to job accomplishments. Managing and Mentoring Junior network engineers. Soft Skills: Excellent organizational skills and solid team player. Solid analytical skills to troubleshoot high level, complex technical problems. Excellent verbal, written, and communication. Maintain a high degree of professionalism and integrity. Must have Skills: LAN, WAN, VLAN, VPN, DHCP, DNS. Virtual Machine implementations. Remote access tools. Asset management. IP/Network Routing. Good to have skills: Shell scripting. Managing Infrastructure on AWS. VoIP, RTP, SIP, SDP.

Principal Engineer - Infrastructure Development Company Overview Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes. Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development. Arcesium seeks a talented and motivated Principal Engineer to join our Infrastructure Development team. This person will work and coordinate internal projects and support Engineering Managers. The successful candidate will be responsible for a variety of critical initiatives that will help Arcesium achieve its strategic goals and growth. The Infrastructure Development team is responsible for multiple functional areas which include Access & Identity Management, Linux Compute, Discovery, Networking, Observability, SDLC, and Storage, built on top of AWS, which provide the foundation upon which our customer-facing financial technology platform builds and runs. Infrastructure is a high-impact engineering team that builds new services, automates systems, integrates cloud & open-source software, and operates critical systems depending on the needs of the firm. What you'll do: Help build the next generation of IT infrastructure e.g. containers infrastructure using Docker & Kubernetes cluster create, manage and upgrade. Create, consult on and review architectural decisions of infrastructure projects/products. Build and maintain the firm s critical IT infrastructure such as Linux, Windows, Git, DNS, Kerberos, Syslog, Apache, Perl, Python, E-mail, Ansible, ELK. Safeguard the firm s and its customers data. Minimize the risk of system failures and ensure that controls are in place to detect failures. Work with tech teams to ensure infrastructure scales dynamically based on the usage pattern. Collaborate with internal teams to develop messaging to senior stakeholders. Build and maintain relationships and create trust with internal stakeholders and Application Engineering teams. Communicate with all stakeholders, prepare project plans, release notes and conduct regular governance meetings. What you'll need: 10-20 years of experience in system administration/software engineering. Strong programming experience in Python/C/Go/Haskell. Good knowledge of Unix system, web technologies, and AWS. Experience with tools and processes that will help you manage, understand, and debug large, complex distributed systems. Attention to detail and quality, and the ability to work well in and across teams. The ability to be self-motivated and to think independently while being a team player. Exceptional verbal and written communication skills. Ability to multitask and manage multiple deliverables paired with a can-do attitude.

Job Role: Senior DevOps Engineer Location: Hyderabad Job Description Sr. DevOps developer you will define designs, provide technical enablement for application components or subsystems for research applications. Your major focus will be on writing code in python or similar and enable integration with various systems. Responsibilities: 8-13 years of experience in (L3 Skills) (AWS, Python, Groovy, Jenkins). Experience working on AWS Cloud platform. Hands-on experience with infrastructure as code tools like Terraform/CloudFormation. Design, test and implement CI/CD including automation using bitbucket/GitHub, Jenkins. Strong programming skills on Python or Groovy or similar Experience working with different AWS services like Ec2, EBS, RDS, IAM, VPC, Lambda, S3, EKS, etc. Experience in building, managing and deployment of Docker images on EKS. Experience in administering both Unix/Linux and Windows operating systems. Prior experience on monitoring and alerting systems like Prometheus/Alert Manager/Grafana Should demonstrate strong Troubleshooting skills. Good to have: Experience with configuration management tools (E.g., Ansible, Chef) Understanding of Monitoring tools (New Relic, PagerDuty, Splunk, CloudWatch etc.) Strong Communication and documentation skills Ability to learn and apply new technologies through self-Learning. Preferred Certifications: AWS Solution Architect Associate or Up / AWS DevOps Associate or Up Benefits: We strongly believe in a competitive salary and benefits package for our employees. Along with the opportunity to work on cutting-edge technologies in the Biotechnology Industry, Clovertex also reimburse AWS certifications at various levels. Clovertex understands the importance of Work Life balance and provides Hybrid work model. Health insurance and benefits for the employees and dependents. Additional Information: Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a positive and inclusive work environment for all employees.

Position: Senior .NET Developer Company: Infor Location: Hyderabad, India About Infor and the Team: Infor is seeking a highly skilled Senior .NET Developer to join our SunSystems development team based in India. This is an exciting opportunity to be part of a growing team focused on enhancing our Multi-Tenant cloud solution for SunSystems, a well-established financial management software used by thousands of B2B customers across various industries worldwide. Our solution combines real-time analytics and is deeply integrated into Infor's Technology platform. The R&D team is expanding with the formation of a new group in Hyderabad. This team will work alongside our teams based in Farnborough (UK) and Shanghai (China), accelerating the delivery of new features and product modernization. This is a unique chance to join early in the formation of the SunSystems team, while also being part of a thriving Infor community in Hyderabad that spans multiple products. Role Overview: As a Senior .NET Developer, you will collaborate with Business Analysts, Product Owners, Product Managers, QA, and Support teams to design, build, and enhance software solutions. You will focus on developing new features, creating REST APIs, and supporting the modernization of the SunSystems platform. In addition to your development responsibilities, you will provide mentorship to junior developers and contribute to our agile (primarily Scrum) teams. Key Responsibilities: Develop new software features and improve existing functionality within agile Scrum teams. Collaborate closely with product owners, business analysts, developers, QA, and Scrum Masters to ensure the successful delivery of high-quality solutions. Design and build REST APIs for internal and external integrations, supporting API-driven development. Investigate and resolve customer-reported issues, security vulnerabilities, and performance improvements. Conduct code reviews, provide mentorship, and promote shared problem-solving within the team. Assist the product owner in understanding work complexity, dependencies, and estimating delivery timelines. Work with architects and senior developers to design new features, develop design principles, and influence the overall direction of development for SunSystems. What You ll Need: Basic Qualifications: Strong expertise in .NET development, including deep knowledge of the Base Class Library (BCL) and ASP.NET Core. Experience working within Agile development methodologies, particularly Scrum. Excellent communication skills, both written and verbal, in English. Enthusiasm for teamwork, with a collaborative attitude toward remote team interactions. Self-motivated with a commitment to continuous learning and improvement, staying updated on industry best practices. Strong problem-solving skills and the ability to navigate large-scale, complex systems and data. Preferred Qualifications: Experience in Enterprise, SaaS, or web platform software development lifecycle. Familiarity with complementary technologies such as Java, Typescript, XHR, Tomcat, Service-based architectures, AWS, Microsoft SQL Server, or similar RDBMS. Proficiency in CI/CD toolchains, Visual Studio, Rider, VS Code, PowerShell, Jenkins, and Git. A customer-centric mindset with an understanding of end-user needs and experience developing user-friendly software. Knowledge of financial applications, especially in accounting and reporting, or familiarity with Infor SunSystems, Query, and Analysis is a plus but not required. Be part of an innovative and dynamic team, with opportunities for professional growth. Contribute to the future of SunSystems in a rapidly evolving technological environment. Work in a collaborative, cross-functional team that spans multiple geographies. Access a range of Infor products and projects, expanding your skill set and experience.

Tezo: Digital & AI Solutions Provider Tezo is a next-generation Digital & AI solutions provider with a history of creating remarkable outcomes for our customers. We deliver exceptional experiences through cutting-edge analytics, data proficiency, technology, and digital excellence. Job Title: Senior Data Scientist Generative AI Job Summary: Tezo is seeking passionate AI Engineers to harness the power of Generative AI and build cutting-edge solutions that transform enterprises. Join us in revolutionizing the business landscape by developing intelligent, generative AI models that drive real-world impact at scale. In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying Generative AI models for enterprise use cases. You ll work closely with architects, developers, and product teams to deliver state-of-the-art AI solutions. What Makes Our AI/ML Practice Unique: Purpose-Driven: We actively respond to our customers' evolving needs with innovative solutions. Collaborative: We foster a positive and engaging work environment where collective ideas thrive. Accountable: We take ownership of our performance, both individually and as a team. Service Excellence: We maximize our potential through continuous learning and improvement. Trusted: We empower individuals to make informed decisions and take calculated risks. Core Responsibilities: Build production-grade Retrieval-Augmented Generation (RAG) solutions with advanced retrieval, re-ranking, and optimization techniques. Develop GenAI applications using LangChain, LlamaIndex, and Vector Stores, leveraging Large Language Models (LLMs). Fine-tune LLMs for specific business use cases (preferred). Design and implement end-to-end machine learning and NLP solutions, including data preprocessing, modeling, and deployment. Deploy ML solutions in production using cloud services such as Azure or AWS. Collaborate with business stakeholders to ensure alignment of AI solutions with organizational goals. Lead and mentor team members, promoting best practices in data science and AI/ML. Qualifications: Required: 4+ years of experience in developing end-to-end machine learning and NLP projects. Hands-on experience with Retrieval-Augmented Generation (RAG) and advanced RAG techniques. Proficiency in building GenAI applications using LangChain, LlamaIndex, and Vector Stores. Strong expertise in Python and SQL for data science projects. Experience deploying ML models in production environments on Azure or AWS. Strong business acumen, stakeholder management, and team-leading skills. Preferred: Experience fine-tuning Large Language Models (LLMs) for business use cases. Familiarity with cloud-native AI/ML services and scalable architecture. At Tezo, you ll be part of a dynamic, innovation-driven team committed to delivering cutting-edge AI solutions that drive real-world transformation. If you re ready to take on exciting challenges and work on impactful projects, we d love to hear from you!

Job Overview Qualcomm is a leading technology innovator, driving digital transformation to enable smarter, connected experiences for all. As a Software Engineer within the LLVM Tools Group, you will work on the LLVM toolchain for various architectures like ARM, Hexagon, and RISCV. This toolchain includes a range of tools such as compilers, linkers, debuggers, and profilers. As part of the QA and Support team, your primary role will be to ensure that software products are reliable, functional, and meet the required quality standards. You will collaborate with development teams and customers to address issues and improve software throughout the development lifecycle. Key Responsibilities Test Planning: Develop comprehensive test plans and test cases based on software requirements and specifications. Test Execution: Perform manual and automated testing to identify defects and ensure software functionality. Bug Reporting: Analyze test failures/regressions and report bugs to the development team, ensuring timely tracking and resolution. Collaboration: Work closely with developers and customers to understand software design, provide feedback on improvements, and actively participate in process improvement efforts. Documentation: Maintain detailed documentation of test procedures, results, and issues encountered during the testing process. Quality Assurance: Ensure the final product meets Qualcomm s quality standards and customer expectations. Minimum Qualifications Education: Bachelor s or Master s degree in Engineering, Information Systems, Computer Science, or a related field. Experience: 2-5 years of experience in software quality assurance or software customer support. Programming Skills: Experience with programming languages such as C, C++, Python, etc. Preferred Qualifications Embedded Systems/Kernel Testing: Experience with software development and testing on embedded systems, Linux kernel, or firmware. Testing Toolchain: Hands-on experience testing compilers and embedded software development toolchains. Automation: Experience in software refactoring, test automation, and machine learning. Tools: Proficiency in tools like Perl, Python, shell scripting, make, cmake, and git. Command-Line: Experience working on both Windows and Linux environments. Development Tools: Knowledge of compilers, assemblers, linkers, and simulators used in software development. Test Automation: Experience in architecting and developing test automation tools (web, embedded systems). Problem Solving: Expert-level analysis, diagnosis, and troubleshooting abilities. Communication: Strong presentation and communication skills to effectively share insights with cross-functional teams. Qualification : Bachelors or Masters degree in Engineering, Information Systems, Computer Science, or a related field.

General Summary: The Software Test Engineer will play a critical role in testing Qualcomm Sensing Hub features for various Qualcomm products. The position includes test planning, test case development, execution, and hands-on testing in both lab and field settings. The role also involves developing automation frameworks, debugging embedded systems, and collaborating with global teams for issue resolution. Key Responsibilities: Test Development & Execution: Develop test cases and execute testing for Qualcomm Sensing Hub features. Conduct hands-on testing with mobile/handheld devices in labs and field environments. Automation Development: Create automation modules for sensor testing using C# and Python. Maintain and enhance test automation frameworks. Debugging & Issue Resolution: Analyze and isolate issues across software modules, test frameworks, or hardware. Collaborate with global teams to resolve issues and support debugging in embedded targets. Sensor Testing & Calibration: Verify and calibrate sensors in embedded hardware. Test and validate communication between devices embedding Qualcomm Sensing Hub. Collaboration & Innovation: Work closely with engineering teams to integrate new testing methodologies. Gain a detailed understanding of Qualcomm Sensing Hub software, hardware, and embedded architectures. Minimum Qualifications: Educational Requirements: Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field with 2+ years of experience. OR Master s degree with 1+ year of experience. OR PhD in a related field. Work Experience: 1+ year of work or academic experience with software/system testing and automation tools. 4-6 years of experience testing embedded systems and developing automated test cases/frameworks. Technical Skills: Proficiency in C, C++, Python, and Java. Experience with Android application programming. Knowledge of debugging embedded systems and isolating issues. Familiarity with Qualcomm test tools (Axiom, QXDM, QDSS, etc.) and DIAG implementation. Exposure to sensors (e.g., inertial, pressure, ambient light) and related test equipment. Other Skills: Strong analytical skills and attention to detail. Ability to prioritize tasks and multitask effectively. Excellent communication and collaboration skills in a global team environment. Basic understanding of radios, audio, camera features, and related test procedures. Preferred Qualifications: Master s degree in Computer Science or Electrical Engineering. Previous experience with Linux Embedded, Linux Android, and Windows mobile devices. Familiarity with oscilloscope usage for debugging hardware and validating signals. Experience in modem, WiFi, Bluetooth, and location technologies testing. Work Environment & Accessibility: Qualcomm is committed to fostering an inclusive workplace and providing reasonable accommodations for individuals with disabilities during the hiring process. Equal Opportunity Employer: Qualcomm prohibits discrimination and ensures equal opportunities for all candidates regardless of race, color, religion, gender, disability, or any other characteristic protected by law. Qualification : Masters degree in Computer Science or Electrical Engineering.

The Test & Device Automation team is responsible for developing automation tools for various domains, including Mobile, MDM, Compute, Automotive, XR, and VR. These tools operate on both host systems and devices, enabling automated testing and optimization of Qualcomm Snapdragon platforms. The engineer will participate in design discussions, analyze system requirements, sustain software interfaces, and develop tools to support emerging technologies. Key responsibilities include integrating new features from Android, Windows, XR, and Automotive platforms into automation tools. Key Responsibilities: 1. Tool Development: Create and optimize automation test tools for multiple platforms (Android, Windows, XR, Auto, MDM). Design and develop software interfaces for Qualcomm Snapdragon platforms. 2. Feature Integration: Monitor upcoming API and feature changes in Android and other platforms. Incorporate updates into automation tools to maintain compatibility with new technologies. 3. Problem-Solving & Risk Analysis: Identify end-to-end use cases and risks for integrating new technologies. Address software impacts and incorporate improvements into the tools. Minimum Qualifications: Education: Required: Bachelor s degree in Engineering, Computer Science, or related field with 3+ years of relevant experience. Master s degree with 2+ years of relevant experience. PhD with 1+ year of relevant experience. Experience: Technical Skills: Strong proficiency in C#, C++, Python, and Android programming. Solid understanding of Data Structures and their applications. Proven experience in software test engineering and automation tools development. Familiarity with Source Code Control Systems, Continuous Integration Tools, and Bug Tracking Tools. Other Skills: Analytical and problem-solving abilities. Effective planning, time management, and decision-making skills. Excellent communication and teamwork skills. Preferred Skills: Insight into Android/Windows platforms and their architectures. Experience working in large organizations. Familiarity with XR, VR, and Automotive platforms. Work Environment & Accessibility: Qualcomm is an Equal Opportunity Employer, committed to providing accessibility accommodations during the hiring process for individuals with disabilities. Qualification : Bachelors degree in Engineering, Computer Science, or related field with 3+ years of relevant experience.

Company Overview: Microsoft s mission is to empower every person and every organization on the planet to achieve more. The Microsoft Security Response Center (MSRC) team is at the forefront of this mission, ensuring the security of Microsoft's products, including the Azure platform. The team operates in an agile, start-up-like environment where innovation, collaboration, and fast-paced execution drive success. We are seeking a skilled Data Scientist to join our dynamic and growing team. This is a unique opportunity to work alongside engineers, data scientists, and security experts to build foundational services that will shape the future of security response. Role Overview: As a Data Scientist at MSRC, you will leverage your expertise in Large Language Models (LLMs), Machine Learning (ML), and Natural Language Processing (NLP) to design and build systems capable of reasoning over vast amounts of data. You will collaborate closely with engineering teams to develop fine-tuned LLM models, evaluate model outputs, and work on solutions that align with the product's needs. This role requires you to think creatively and work across teams to drive innovative solutions while maintaining productive working relationships with stakeholders. Key Responsibilities: Develop ML Systems: Design, build, and deploy systems that enable LLMs to reason over large data sets, leveraging lighter models where applicable. Collaborate with Engineering Teams: Work closely with engineers and partner teams to deliver solutions, including fine-tuning LLM models and evaluating model outputs for product requirements. Applied Science & Experimentation: Conduct experiments in applied science, develop metrics, build ML pipelines, and implement algorithms for LLM, NLP, and Information Retrieval. Data Management & Integrity: Prepare and manage data, ensure data cleanliness, and communicate project updates to senior leadership. Contribute to data ethics and privacy policies. Build Conversational Models: Develop and deploy conversational models for natural language understanding at scale. Responsible AI & Privacy: Advocate for and follow best practices in Responsible AI and Privacy Preserving Machine Learning. Stakeholder Collaboration: Collaborate with security, engineering, and product teams to align models with business goals, gather feedback, and drive effective execution of strategies. Thought Leadership: Provide feedback to engineering teams, identify business opportunities, and contribute to industry best practices. Required Qualifications: Bachelor's Degree in Computer Science or a related technical field AND 4+ years of technical engineering experience in languages like C, C++, C#, Java, JavaScript, or Python, OR Master's Degree in Computer Science or a related field AND 3+ years of technical engineering experience, OR Equivalent experience in the field. 3+ years of hands-on experience in Machine Learning. Proficiency in using ML tools such as Pytorch and TensorFlow. Experience in prompt engineering, fine-tuning, and using OpenAI or Azure Open AI APIs. Strong system development skills with experience in developing both rapid prototypes and complex, architected systems. Preferred Qualifications: Experience developing and deploying conversational models at scale. Familiarity with Responsible AI practices and Privacy Preserving Machine Learning. Ability to collaborate with cross-functional teams and work in a fast-paced environment.

Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. The Microsoft Security Response Center (MSRC) is responsible for detecting, protecting, and responding to threats that affect Microsoft s products and services. We are looking for a motivated Security Researcher II to join our team. As part of the MSRC, our team is responsible for analyzing vulnerabilities found in Microsoft s products and services to determine their root cause, severity, and security impact. This analysis plays a critical role in shaping the security updates that are deployed to customers. The knowledge that we gain from analyzing vulnerabilities also informs the offensive and defensive security research performed by our team. As part of this research, our team works collaboratively with many teams across Microsoft to investigate, develop, and deploy security features that help discover and mitigate the biggest threats to customers. Our team is passionate about a range of topics including vulnerability discovery & automation, safer programming languages, exploit and vulnerability mitigations, software sandboxes, penetration testing & red teaming, exploit development, operating systems security (Windows and Linux), virtualization security, cloud services security, OWASP top 10, and hardware vulnerabilities and mitigations. This particular role is focused on the online services (OLS), e.g. cloud and web bugs. This is a unique opportunity to have a positive impact on improving safety for customers around the world and to work on challenging real-world security problems as part of a supportive and collaborative team. Microsoft s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Qualifications Bachelor's Degree in Statistics, Mathematics, Computer Science or related field and experience in software development lifecycle, large-scale computing, modeling, cybersecurity, and/or anomaly detection In-depth experience in working as a security engineer Experience in identifying common vulnerability types (OWASP top 10, CWE top 25) in software and services written in C#, JavaScript/HTML, C++, C, etc Ability to debug and root cause vulnerabilities in software, services, and cloud platforms Excellent written and verbal communication skills Preferred Qualifications: Public track record of vulnerability research and discovery Familiarity with cloud service architectures (Azure etc), design, and implementations Familiarity with operating system internals for Windows and/or Linux Familiarity with exploitation techniques and mitigations Responsibilities Analyzing vulnerabilities in software and services to determine their root cause, severity, and security impact Identifying variants of vulnerabilities and discovering new vulnerabilities Building tools and inventing new approaches to automate the discovery & analysis of vulnerabilities Analyzing trends in vulnerabilities being discovered to spot patterns Researching, developing, and deploying mitigations for common patterns of vulnerabilities Performing penetration testing, offensive security research, and red teaming activities Engaging with and contributing knowledge back to the security research community Mentoring and contributing to the growth of individuals within the team and across Microsoft Supporting a healthy and inclusive culture within the team and across Microsoft Qualification : Bachelor's Degree in Statistics, Mathematics, Computer Science or related field and experience in software development lifecycle, large-scale computing, modeling, cybersecurity, and/or anomaly detection

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. #LI-DNI#EasyApply Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field

What You ll Be Doing: As a Lead Software Engineer, you ll spearhead the design and development of the M2M Management Center platform, a scalable solution connecting customers to Verizon s extensive global network. Your role will involve: Collaboration: Partnering with internal and external teams to define release content, ensuring the platform meets evolving competitive demands. Leadership and Mentorship: Guiding software engineering teams focused on web and API development. Mentoring team members to ensure timely, high-quality product delivery. Architecture and Documentation: Documenting architectural guidance to ensure platform scalability and performance. Overseeing systems and service architectures. Strategic Execution: Driving platform strategy, coordinating with cross-functional teams, and ensuring successful implementation. Continuous Innovation: Adhering to industry standards, exploring emerging technologies, and driving improvements in infrastructure, applications, and processes. Where You ll Work: This hybrid role combines remote work with assigned in-office days, offering flexibility and collaboration. What We re Looking For: Must-Have Qualifications: Bachelor s degree or six or more years of relevant work experience. Six or more years of experience with: Java Development, including design and architecture. Test Data Management tools and processes. Preferred Qualifications: A degree in Computer Science or Computer Engineering. Proven experience in: Developing scalable web applications with Java Spring, AWS, Kubernetes, and database programming. Leading software development projects and teams. Handling high-pressure customer or end-user requests. Performance tuning and ensuring application scalability. Strong hands-on knowledge of databases like Oracle, Cassandra, and DB2 DBA Programming. Experience or interest in Machine Learning (ML) and Generative AI (Gen AI) development. Familiarity with Agile and Waterfall project management methodologies. Why You ll Succeed Here: You re a visionary leader driven by innovation and results. Your ability to simplify technical concepts and inspire your team will foster collaboration and efficiency. You excel in fast-paced environments, balancing multiple priorities without compromising deadlines or quality. Qualification : Bachelors degree or six or more years of work experience

Senior Search Engineer Full-Time | Hyderabad, India Department: Engineering Location: Hyderabad (On-site) Experience: 5+ Years Industry: Enterprise Software / Search Technology Employment Type: Full-Time Salary: Competitive & Based on Experience Job Summary We are seeking a highly experienced and technically proficient Senior Search Engineer with deep expertise in Apache Lucene and related search technologies. In this role, you will architect, develop, and optimize complex search functionalities within our enterprise platform. Your work will directly impact search scalability, performance, and accuracy across high-throughput, data-driven applications. Key Responsibilities Design, build, and maintain robust search infrastructure using Lucene and Lucene-based frameworks. Integrate Lucene search features into large-scale, enterprise-grade applications and manage ongoing system upgrades. Tune indexing strategies and optimize search algorithms for performance, accuracy, and efficiency. Conduct comprehensive performance testing and profiling to identify system bottlenecks and implement improvements. Create and manage custom analyzers, tokenizers, and filters to meet advanced business search requirements. Troubleshoot and resolve complex search-related issues across systems and environments. Monitor and evaluate emerging trends in search engines, text processing, and machine learning-based ranking. Work closely with cross-functional engineering teams and product owners to define and implement search-related features. Required Qualifications Bachelor's or Master s degree in Computer Science, Software Engineering, or a related technical field. 5+ years of hands-on experience in software engineering with a strong emphasis on search technologies. Deep knowledge and production-level experience with Apache Lucene. Proficiency in associated technologies such as Elasticsearch, Solr, or other Lucene-based libraries. Strong understanding of search algorithms, indexing mechanisms, and query optimization techniques. Solid foundation in data structures, algorithms, and object-oriented design principles. Experience working with high-throughput systems and scalable, distributed architectures. Preferred Skills (Nice to Have) Experience integrating search capabilities in cloud environments (e.g., Azure, AWS, or GCP). Familiarity with natural language processing (NLP), semantic search, and vector search technologies. Exposure to machine learning models for relevance tuning and personalized search. Background in performance benchmarking tools and profiling techniques. Lead the development of mission-critical search and indexing features used by enterprise customers. Be part of a collaborative team solving cutting-edge search performance challenges. Work in an environment that encourages innovation and continuous learning. Competitive compensation, modern tech stack, and ample growth opportunities. Qualification : Bachelor's or Masters degree in Computer Science, Software Engineering, or a related technical field.

Senior Engineer SaaS | Hyderabad, India Department: Engineering Employment Type: Full-Time Experience: 3+ Years Location: Hyderabad (On-site/Hybrid) Job Overview We are looking for a skilled Senior SaaS Engineer to join our dynamic engineering team in Hyderabad. In this role, you will be instrumental in transitioning ZL Tech s flagship products to a highly scalable, reliable, and performant SaaS platform. You will design and develop cloud-native microservices and work collaboratively across global teams to deliver high-quality software solutions. Key Responsibilities Collaborate with geographically distributed engineering teams to migrate and enhance applications into scalable, reliable, and high-performance SaaS architecture. Lead the transition from monolithic systems to microservices architecture ensuring modularity and scalability. Work closely with product managers, architects, and cross-functional teams to gather requirements and translate them into robust technical solutions. Develop and maintain RESTful APIs to support scalable service integrations. Build, deploy, and maintain containerized applications using Kubernetes and related container technologies. Implement and improve DevOps practices including CI/CD pipelines for faster and reliable software delivery. Operate effectively in a fast-paced environment while delivering quality code on schedule. Required Qualifications Bachelor s or Master s degree in Computer Science, Information Technology, or related engineering discipline. Minimum of 3 years hands-on experience building large-scale distributed systems with a focus on scalability and reliability. At least 2 years of professional experience with Kubernetes and container orchestration platforms. Proven experience in cloud-native application development, preferably on platforms such as AWS, Azure, or GCP. Strong expertise in designing and building REST APIs for SaaS environments. Solid understanding of DevOps culture and practical experience implementing CI/CD pipelines using tools like Jenkins, GitLab CI, or similar. Preferred Skills Experience with microservices frameworks such as Spring Boot, Node.js, or equivalent. Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack). Knowledge of security best practices for SaaS applications and cloud infrastructure. Work on cutting-edge SaaS product development with a global engineering team. Grow your expertise in cloud-native technologies and microservices architectures. Opportunity to impact product design and lead innovations in scalable distributed systems. Competitive salary and benefits, with a focus on continuous learning and career growth. Apply today to be part of a forward-thinking company shaping the future of SaaS technology in Hyderabad! Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or related engineering discipline.