AI Solutions Engineer Windows Jobs in Hyderabad

Test Automation Engineer Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years Company: Blend About Blend: Blend is a leading AI services provider dedicated to driving impactful innovation through data science, AI, and technology. Our mission is to empower businesses by aligning human expertise with artificial intelligence, delivering transformative solutions that create lasting value. Job Summary: We are seeking an experienced Test Automation Engineer to strengthen our quality assurance efforts. You will design and implement automated testing frameworks and strategies that ensure the reliability, stability, and performance of our software products, including rollback testing in continuous integration and deployment environments. Key Responsibilities: Design, develop, and maintain scalable test automation frameworks using tools such as Selenium, Cypress, Playwright, or similar. Implement rollback testing to validate system stability during deployment and rollback cycles. Develop automated test scripts covering regression, smoke, sanity, and performance testing scenarios. Integrate automated tests seamlessly into CI/CD pipelines using tools like Jenkins, GitHub Actions, GitLab CI, or Azure DevOps. Collaborate with development and DevOps teams to identify gaps in test coverage and improve release reliability. Analyze test results, log defects, and support developers in debugging and resolving issues. Create and maintain detailed test plans, test cases, and documentation. Ensure thorough testing across multiple environments including staging, production, and rollback scenarios. Qualifications: Minimum 5 years of experience in test automation using Selenium, Cypress, Playwright, or equivalent tools. Strong understanding of rollback testing and deployment validation techniques. Proficiency in scripting languages such as Python, JavaScript, or Java. Hands-on experience with CI/CD tools and pipelines including Jenkins, GitLab CI, GitHub Actions, or Azure DevOps. Experience testing REST APIs using tools like Postman or REST Assured. Familiarity with version control systems such as Git and GitHub. Exposure to cloud platforms (AWS, Azure, GCP) is a plus. Excellent analytical, problem-solving, and communication skills. Opportunity to work with cutting-edge AI and automation technologies. Collaborative and innovative work environment. Career growth through mentorship and and learning opportunities. Competitive salary and benefits. Apply now to contribute to Blend s mission of delivering world-class AI solutions with top-quality software testing practices.

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.

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

Job Description Responsibilities Identify projects and initiatives to deliver tangible end user operational improvements across the internal and external IT ecosystem. Collaborate with IT teams to ensure seamless integration with existing systems Engineer and optimize systems to operate within defined SLAs and achieve internal KPIs related to IAM efficiency, security, and performance. Feedback from users on IAM processes (i.e. access request/revoke, access lock down, etc.). Number of help desk tickets related to IAM issues (e.g., login problems, access issues). Implement automation and process improvements to streamline IAM workflows (e.g., automated role definitions, workflow optimization), increasing operational efficiency. Tasks Design and engineer IAM solutions to support the full lifecycle of client identities, from onboarding to offboarding, ensuring secure and efficient processes. Manage and execute changes to IAM systems (e.g., SailPoint, Active Directory, Entra ID), driving system improvements while minimizing disruptions and adhering to change management protocols for security and system stability. Conduct periodic reviews of user access rights and support in forensic analysis and compliance reports. Assist in preparing for internal and external IAM audits, ensuring proper documentation and compliance. Support the implementation of Single Sign-On (SSO) systems across enterprise applications. Troubleshoot authentication issues related to login and access. Ordinary and Extraordinary administration and optimization if IAM systems (e.g., SailPoint, Active Directory, Entra ID), focusing on improving system performance, scalability, and security. Collaborate with help desk and support teams to escalate and manage complex cases. Develop, maintain, and update technical documentation related to system configurations, processes, troubleshooting steps, and resolutions, ensuring high-quality knowledge management. Working with Windows NTFS and DFS services Key competencies for position and level In addition to demonstrating our Global Values (Authentic, Bold, and Collaborative), the role holder will be expected to demonstrate the following: Be a strong team player. Proactive mindset to always look to make improvements. Confident communication skills with the ability to speak to business stakeholders / application owners technical individuals to elicit requirements. Willing to continually learn new skills and technologies. Work well under pressure. Qualifications Education / professional qualifications Graduate degree, preferably in IT related disciplines Microsoft Certifications would be preferred Background experience Hands-on experience with IAM Active Directory and Entra ID on hybrid environment Strong verbal and written communication skills. Knowledge of configuring, troubleshooting, and maintaining IAM tools and systems. Experience of Active Directory, Windows Servers and NTFS permissions. Knowledge of VMware, Azure hosting and SailPoint platform is nice to have. Company, product, and market knowledge Experience of working in a complex, multi-country professional services, financial services or BPO organisation with complex processing requirements preferred but not essential. Multi-country experience and demonstrates an ability to work in a multi-cultural, talented, and demanding team environment. Excellent communication skills in both written and oral form, with staff members, customers, suppliers, and the management team with the ability to make decisions, act and get results. Passion, dynamism, and drive Personal presence, integrity, and credibility Ability to solve problems either independently or by utilising other members of the team where necessary. Ability to focus on priority, when business impact required. Languages Fully proficient spoken and written English, additional European languages will be an asset Company description IQEQ is a preeminent service provider to the alternative asset industry. IQEQ works with managers in multiple capacities ranging from hedge fund, private equity fund, and mutual fund launches; private equity fund administration; advisory firm set-up, regulatory registration and infrastructure design; ongoing regulatory compliance (SEC, CFTC, and 40 Act); financial controls and operational support services; compliance and operational related projects and reviews; and outsourced CFO/controller and administration services to private equity fund investments portfolio companies, real estate assets and energy assets. Our client base is growing, and our existing clients are engaging the firm across the spectrum of our services offerings. Qualification : Graduate degree, preferably in IT related disciplines Microsoft Certifications would be preferred

Job Title: Solution Engineer Location: Hyderabad, India Company: Wipro Limited About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading global technology services and consulting company. We focus on delivering innovative solutions that address our clients most complex digital transformation challenges. With a holistic portfolio spanning consulting, design, engineering, and operations, we help clients achieve their boldest ambitions and build future-ready businesses. Our global workforce of over 230,000 employees and partners across 65 countries collaborates to drive success for customers, colleagues, and communities. Learn more at www.wipro.com. Role Overview Solution Engineer As a Solution Engineer, you will play a pivotal role in designing and delivering customer showcases and innovation workshops tailored to industry needs. You will partner with business units across verticals including Retail, Banking & Finance, Manufacturing, Communications, and Healthcare to demonstrate cutting-edge solutions leveraging emerging technologies like AI, AR/VR, and IoT. Key Responsibilities Conceptualize, plan, and deliver engaging customer showcases, highlighting innovative solutions and future-ready technologies. Conduct workshops for diverse client stakeholders to demonstrate Wipro s technology capabilities and vision. Collaborate with various Business Units (BUs) to craft tailored agendas and customized visit experiences. Drive and facilitate walk-through sessions aligned to the customer profile and industry landscape. Evangelize innovation through hands-on showcases featuring Artificial Intelligence (AI), Augmented/Virtual Reality (AR/VR), Internet of Things (IoT), and other emerging technologies. Skills & Competencies Strong team player, comfortable working in ambiguous, fast-paced environments similar to a startup mindset. Solid understanding of emerging technology trends and the ability to envision and articulate future technology landscapes. Strong business acumen with a consultative mindset ability to understand industry-specific challenges and customer pain points. Exceptional communication and presentation skills, with the confidence to interact effectively with C-suite leadership. Demonstrated curiosity and continuous learning mindset, with deep expertise in both technology and industry domains. At Wipro, we are reimagining the future by driving digital transformation for our clients. This is a place where you can reinvent yourself whether by enhancing your skills, exploring new ideas, or contributing to industry-shaping innovations. We actively encourage diverse talent and inclusive workplaces where everyone belongs. Applications from people with disabilities are explicitly welcomed. Come to Wipro. Realize your ambitions.

Join Amgen s Mission of Serving Patients At Amgen, you re part of something bigger our shared mission to serve patients with serious illnesses drives everything we do. Since 1980, we ve been pioneers in the biotech industry, focusing on Oncology, Inflammation, General Medicine, and Rare Diseases, helping millions of patients live longer, fuller lives. Amgen remains on the cutting edge of innovation, combining biology and technology with human genetic data to push beyond what s possible today. Specialist IS Engineer What You ll Do As a Specialist IS Engineer, you will develop and implement the next generation of pharmacovigilance platforms while supporting existing technologies. This includes designing, developing, and deploying complex software solutions while mentoring junior developers. You ll collaborate with cross-functional teams to deliver high-quality, scalable solutions that ensure system reliability and innovation in safety systems. Key Responsibilities Design, develop, and deploy solutions for pharmacovigilance systems to enhance adverse event intake and distribution. Ensure technical implementation aligns with GxP validation processes and IS Change Control standards. Collaborate with partners to prioritize system enhancements and new functionalities for safety systems. Develop innovative solutions using Generative AI and large language models (LLMs) like OpenAI GPT for improved decision-making and efficiency. Rapidly prototype and translate concepts into working code. Drive automation and process improvements within the drug-safety ecosystem. Conduct code reviews and maintain technical documentation for architecture, design, deployment, and disaster recovery. Lead technical root cause analyses and collaborate with software vendors to resolve system-related issues. Basic Qualifications Master s Degree with 4 6 years of experience, or Bachelor s Degree with 6 8 years of experience, or Diploma with 10 12 years of experience in Computer Science, Software Development, or a related field Required Skills Must-Have: Proficiency in SQL, Databricks, and data modeling concepts Experience in Python or JavaScript and reporting tools like Power BI or Tableau Familiarity with PV terminologies and regulatory compliance Hands-on experience with SDLC, ETL tools (Informatica, Databricks), and API integrations (MuleSoft) Strong problem-solving skills, collaborative mindset, and effective communication Knowledge of ITIL processes and GxP validation Nice-to-Have: Experience with COTS Pharmacovigilance Platforms (e.g., Argus) Cloud experience with AWS or Azure Knowledge of AI, Machine Learning (ML), Natural Language Processing (NLP) Professional certifications such as SAFe Agile Software Engineer or SAFe for Teams Soft Skills Strong verbal and written communication skills Analytical and problem-solving mindset Ability to collaborate with global, virtual teams Initiative-driven with an ownership mindset Adaptability and resilience in ambiguous situations What You Can Expect Amgen offers a collaborative, science-driven culture and comprehensive benefits, including competitive salaries, professional growth support, and a focus on your well-being. Shift Information: This role may require working late shifts, with potential for evening or night schedules based on business needs. Apply now to make a real difference in the lives of patients while transforming your career at careers.amgen.com. Equal Opportunity Employer: Amgen is committed to creating a diverse and inclusive environment. We provide reasonable accommodations to individuals with disabilities.

Summary Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you. As a Windows Client Engineer, you will be responsible for ensuring the smooth operation, security, and performance optimization of our Windows client infrastructure. The ideal candidate will have a deep understanding of Windows operating systems and extensive experience in managing and troubleshooting Windows client systems in a corporate environment. About the Role Responsibilities for this role include, but are not limited to: • Install, configure, and maintain Windows operating systems (Windows 10, Windows 11) across the organization's client devices. • Monitor and manage client systems using centralized management tools such as Tachyon, Intune. • Identify and troubleshoot hardware and software issues, working closely with users to resolve technical problems. • Implement and maintain security measures, including antivirus, firewall, and encryption protocols. • Collaborate with cross-functional teams to implement new software or hardware solutions, ensuring compatibility with Windows client systems. • Create and maintain technical documentation, including system configurations, procedures, and troubleshooting guides. • Assist in evaluating new technologies and make recommendations for system improvements. • Provide end-user training and support to ensure understanding and effective usage of Windows client systems. Commitment to Diversity & Inclusion: : We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. What you’ll bring to the role: • Bachelor's degree in computer science, engineering, or a related field (or equivalent experience). Excellent problem-solving and communication skills. • Proven work experience as a Windows Client Engineer or in a similar role. In-depth knowledge of Windows operating systems & Modern provisioning (Autopilot) • Strong understanding of Active Directory, Group Policy, and system security principles. Experience with centralized management tools such as Microsoft Intune and SCCM. • Proficiency in scripting languages (PowerShell or similar) for automation purposes. Knowledge of network protocols, TCP/IP, DNS, and DHCP. • Ability to work independently and collaboratively in a team environment Industry certifications, such as Microsoft Certifications (MCSA, MCSE), are a plus. Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture You’ll receive: Monthly pension contribution matching your individual contribution up to 3% of your gross monthly base salary; Risk Life Insurance (full cost covered by Novartis); 5-week holiday per year; (1 week above the Labour Law requirement) ; 4 paid sick days within one calendar year in case of absence due to sickness without a medical sickness report; Cafeteria employee benefit program – choice of benefits from Benefit Plus Cafeteria in the amount of 12,500 CZK per year; Meal vouchers in amount of 105 CZK for each working day (full tax covered by company); Public Transportation allowance; MultiSport Card. Find out more about Novartis Business Services: Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: Accessibility and accommodation: Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a position, please send an e-mail to and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Qualification : Bachelor's degree in computer science, engineering, or a related field (or equivalent experience). Excellent problem-solving and communication skills.

Why Verizon: At Verizon, we believe in empowering our employees to think freely and share bold, innovative ideas. We strive to create an environment where everyone can learn, grow, and thrive. Our mission is to connect people to what brings them joy and to drive innovation that impacts the world. Join the V Team, a community of forward-thinkers, where your contributions help shape the future of technology and positively impact communities around the globe. Role Overview: We are seeking a Director of Software Development for Verizon Business Group s Global Technology Solutions (GTS) team in India. The role focuses on driving AI-powered solutions across the service journey, specifically within digital and agent experience domains. You will lead the development and maintenance of experience platforms, utilizing AI solutions to enhance service interactions and improve business outcomes. As a key leader, you will be responsible for building and leading a high-performing team, influencing cross-functional partners, and communicating the vision for Verizon s AI-infused service solutions. This role requires a strong background in architecture, AI integration, and technical leadership, along with the ability to drive innovation and deliver results in a fast-paced, customer-focused environment. Key Responsibilities: Leadership & Team Management: Lead and mentor a talented team focused on delivering high-quality AI-driven service solutions. Hire, train, and inspire a team of digital innovation experts. Collaborate with cross-functional teams, ensuring effective communication and alignment with Verizon Business Group leadership. AI & Service Experience Development: Responsible for the architecture, development, and maintenance of experience platforms handling service requests for VBG. Design solutions in line with AI standards, creating an intuitive experience across all service channels. Propose and implement AI-powered strategies to address business challenges and enhance service offerings. AI/ML Integration: Engineer data-driven insights from large datasets using AI/ML techniques. Lead the development and deployment of AI models in production, ensuring the seamless integration of these models into the service platform. Strategic Partnerships & Industry Benchmarking: Partner with global teams and strategic partners to deliver committed business outcomes. Benchmark against industry best practices and collaborate with AI&D teams to define service management use cases for VBG customers. Innovation & Continuous Improvement: Analyze trends and emerging technologies to reimagine and improve the service experience. Facilitate cross-functional ideation sessions to develop solutions that streamline omni-channel processes and enhance digital experiences. Executive Reporting & Collaboration: Regularly review critical projects with executive leadership and provide updates on progress. Work closely with leadership teams to ensure business goals are met through innovative service solutions. Qualifications: Education: Bachelor s degree or equivalent technical qualification. Experience: 10+ years of relevant experience in software development and AI solutions. Proficiency in Spring Boot, React, Python, and AI/ML techniques for data engineering and insights generation. 2+ years of experience in deploying AI models to production. Proven experience in technology leadership, including architecture design, technology selection, and full-stack implementation. Skills & Expertise: Strong problem-solving skills with the ability to manage multiple projects and meet deadlines in a fast-paced, dynamic environment. Experience identifying opportunities and facilitating cross-functional collaboration to improve digital experiences and streamline service processes. Experience in the telecom network domain is a plus. Demonstrated leadership experience, including managing diverse global teams and driving AI initiatives. Industry recognition, participation in standards/professional bodies, and patents/publications are beneficial. Desired Skills: Leadership in Global Teams: Previous leadership in a global setting is highly desirable. Telecom Network Domain Knowledge: At least 5 years of experience in the telecom network domain is preferred. Certifications & Recognitions: Industry certifications, patents, or published papers are an added advantage. What Verizon Offers: This role offers an exciting opportunity to shape the future of AI-powered service experiences within one of the top 20 Fortune 500 companies. You will be part of a collaborative, innovative environment that values continuous learning and growth. With Verizon, you can expect a work culture where your contributions truly matter, helping to drive both technological advancement and customer satisfaction. Where You ll Be Working: This is a hybrid role, offering a defined work location with the flexibility of working from home and assigned office days as determined by your manager. Qualification : Bachelors degree or equivalent technical qualification

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.

Principal Engineer AI/ML (Hybrid) Location: Hyderabad, India Company: Collins Aerospace (Raytheon Technologies) Experience: 8+ Years Overview Join our Applied Research & Technology (ART) department as a Principal Engineer in AI/ML. Be part of a global team driving innovation in aerospace through advanced technologies like AI/ML, Cloud, and emerging software solutions. Key Responsibilities Lead AI/ML software architecture, development, and deployment. Deliver proof-of-concepts and technology demonstrators across global R&D teams. Contribute to international conferences and publish research papers. Identify and explore disruptive trends in AI/ML, CV, NLP, and Generative AI. Skills & Qualifications Proficiency in Python and one of C/C++/C#/Java. Strong background in AI/ML for embedded or cloud platforms (AWS preferred). Hands-on experience with MLOps and software pipelines. 8+ years in software/AI roles; 2+ years in technical leadership. Bachelor's or Master s in CS, Electronics, or Avionics. AI/ML certifications; Agile/Scrum Master certification preferred. Benefits Group health, life, and accident insurance Transportation and meal vouchers Car lease, LTA, fuel & maintenance support 18 vacation days + 12 contingency leave Employee Scholar Program and pension plan Apply Now Be a pioneer in AI/ML innovation in aerospace. Apply today and help us shape tomorrow s flight technology. Equal Opportunity Statement RTX is an equal opportunity employer. All qualified candidates will receive consideration without regard to race, gender, religion, sexual orientation, or disability status. Qualification : Bachelor's or Masters in CS, Electronics, or Avionics.

Lead UI Developer | ThoughtWorks | Hyderabad, India Location: Hyderabad, India Employment Type: Full-time, Regular Industry: Information Technology About ThoughtWorks At ThoughtWorks, we are a leading global technology consultancy committed to transforming the world with digital innovation. For over 30 years, we have delivered extraordinary impact to our clients by tackling complex business challenges and creating cutting-edge technology solutions. Our diverse, inclusive teams continuously push boundaries and innovate across industries. Join us to work on impactful projects, learn from brilliant minds, and accelerate your career in a culture that values curiosity, growth, and collaboration. Job Overview Key Responsibilities Champion Best Practices: Advocate for best practices like TDD (Test-Driven Development), pair programming, design patterns, and continuous delivery to ensure high-quality software delivery and early value realization for end customers. End-to-End Software Delivery: Oversee or participate in the complete cycle of software consulting and delivery from ideation through to post-production evolution ensuring that business goals are met with technical excellence. Solution Design & Technology Selection: Design solutions that address clients unique challenges, balancing technical constraints and strategic goals. Choose the best technologies to create scalable, modular UI systems. UI System Development: Build user interfaces that are not only functional but also delightful, accessible, and mobile-first. Develop using the latest HTML, CSS, and JavaScript standards. Collaboration & Innovation: Work closely with teams to create features, design concepts, and interactive prototypes. Incorporate UX specifications and ensure best practices are embedded at every stage. Hands-On Development: Continue coding alongside developers to maintain technical depth. Lead by example and contribute directly to building high-quality solutions. DevSecOps & Continuous Delivery: Champion the use of DevSecOps practices, advocating for security and integrating continuous delivery pipelines to ensure rapid and secure software deployment. Client & Team Leadership: Own and drive client relationships, translating their vision into actionable technical solutions. Mentor team members, fostering a culture of growth, feedback, and accountability. Stay on Top of New Technologies: Continuously evaluate emerging technologies and incorporate the latest Technology Radar trends into your solutions. Job Qualifications Technical Skills: Experience: 9-15 years of hands-on experience in UI development, with expertise in JavaScript, Typescript, and Angular (latest version). Frontend Architecture Expertise: Deep understanding of modern UI concepts such as design systems, atomic design, micro frontends, progressive web apps, and backend for frontends (BFF). Responsive & Mobile-First Development: Proven ability to build responsive, mobile-first experiences with complex CSS layouts and best practices. Microfrontend Architecture: Extensive experience designing and implementing microfrontend architecture, with a strong understanding of its principles and benefits. Cross-Browser Compatibility: Skilled in resolving cross-browser and cross-platform compatibility issues and using appropriate workarounds. Development Tools: Proficient in TypeScript, familiar with JavaScript build tools, and comfortable using CI/CD tools and TDD approaches. Web Standards & Accessibility: Strong knowledge of web accessibility standards and the latest web technologies (HTTP, multi-tiered web architectures). Professional Skills: Leadership & Mentorship: Act as a mentor to junior team members, fostering growth through technical expertise and a commitment to delivering extraordinary results. Client-Facing: Ability to develop and execute a technical vision aligned with business value, and serve as a trusted partner to clients. Resilience in Ambiguity: Comfortable with ambiguity and able to approach challenges from multiple perspectives, finding innovative solutions. Influence & Advocacy: Advocate for technical excellence and champion best practices while being open to change and evolving client needs. Learning & Development: ThoughtWorks is committed to supporting your growth. You ll have access to interactive tools, a variety of development programs, and teammates eager to help you grow professionally. Career Growth: There s no one-size-fits-all career path at ThoughtWorks. We balance autonomy with support, ensuring your career evolves as per your personal ambitions. Onsite Work Expectation: You will be expected to work out of ThoughtWorks' office or at client locations for all five working days, depending on the project or business requirements. At ThoughtWorks, we are dedicated to delivering innovative solutions and transforming the way businesses engage with technology. By joining our team, you ll have the opportunity to learn, grow, and make an impact through your work. If you are passionate about building exceptional user experiences and working with cutting-edge technologies, we want you on our team!

Job Title: AWS DevOps Engineer / Architect Location: Hyderabad Job Type: Full-time Salary: Negotiable Position Overview: We are looking for an experienced AWS DevOps Engineer / Architect to join our team. In this role, you will work with a wide range of AWS services and DevOps tools, enabling the efficient deployment and operation of software in cloud environments. The ideal candidate will have extensive experience in AWS architecture, CI/CD, EKS, CloudFormation, and various DevOps tools and technologies. Key Responsibilities: AWS Infrastructure: Design, implement, and manage AWS cloud infrastructure with a focus on CloudFormation, Lambda, EKS, and other AWS services. Containerization and Orchestration: Manage Docker and Kubernetes environments, ensuring seamless container orchestration and deployment. CI/CD Pipelines: Build and maintain CI/CD pipelines using tools like Jenkins, Bamboo, Azure DevOps, and TeamCity. Scripting and Automation: Develop scripts for automation using languages such as Shell, PowerShell, and Python. Monitoring and Logging: Implement monitoring and logging solutions using tools like Datadog, Splunk, and Wiz to track the performance and health of infrastructure. Collaboration: Work closely with development teams to ensure smooth integration and deployment processes. Infrastructure as Code: Write and maintain infrastructure code using Terraform and AWS CloudFormation. Agile Environment: Work in an Agile environment using tools such as JIRA to manage tasks and collaborate with team members. Security and Best Practices: Ensure the security, performance, and scalability of cloud infrastructure, following industry best practices. Microservices: Work with microservice architectures and ensure the efficient deployment and scaling of services. Qualifications: Educational Qualification: Bachelor s degree in Computer Science, Engineering, or a related field. Experience: 5+ years hands-on experience with AWS services, including Lambda, CloudFormation, EKS, CodePipeline. 3+ years experience with Docker and Kubernetes at an enterprise level. 5+ years experience in CI/CD with tools such as Jenkins, Bamboo, Azure DevOps, and TeamCity. Experience with scripting languages like Shell, PowerShell, Python. Knowledge of microservice architecture, API management, and networking concepts such as DNS, Ingress, LB. Experience with monitoring/logging tools like Datadog, Splunk, and Wiz. Linux experience (at least 3+ years) and Windows Server experience (2-3+ years). Additional Skills: Knowledge of C#, .NET, Java, and object-oriented programming concepts is a plus. Experience with version control systems like GitHub, TFS. Familiarity with security best practices in cloud environments. Preferred Qualifications: AWS Certification is a plus (e.g., AWS Certified Solutions Architect or AWS Certified DevOps Engineer). Other Details: Notice Period: Immediate or negotiable Work Environment: Hybrid work model (combination of remote and on-site) Salary: Negotiable based on experience If you are an experienced AWS DevOps Engineer/Architect with a passion for cloud infrastructure, CI/CD, and automation, we would love to hear from you. Join our dynamic team and help drive innovation in cloud architecture and DevOps practices. Qualification : Bachelors degree in Computer Science, Engineering, or a related field.

Position: AI/ML Developer Company: Infor Location: Hyderabad, India Experience: 2-5 years Skills: AI/ML, Python, AWS, SQL Role Summary: As an AI/ML Developer at Infor, you will be at the forefront of creating and delivering state-of-the-art enterprise applications and automation solutions powered by Infor s AI, RPA, and OS platform technologies. Your primary mission will be to identify impactful AI/ML use cases, develop proof of concepts (PoCs), and deliver automation solutions that drive workforce productivity and enhance business outcomes for our clients. Key Responsibilities: Use Case Identification: Work closely with customers to understand their business challenges and identify opportunities for AI/ML solutions to address these needs. Data Insights: Perform exploratory data analysis on large, complex datasets to uncover key insights. Assess data quality and share findings that can inform decision-making. Data Preparation: Collect, clean, preprocess, and augment datasets for training and testing AI models, ensuring they are ready for AI tasks. Model Development: Design, train, and fine-tune AI/ML models, evaluating them against appropriate performance metrics and optimizing for maximum efficiency. Integration & Deployment: Partner with software engineers to integrate AI/ML models seamlessly into enterprise applications and systems. Address deployment challenges to ensure smooth production workflows. Continuous Improvement: Monitor the performance of deployed AI models, gather user feedback, and iterate to improve models, algorithms, and user experience. Proof of Concepts (PoCs): Develop PoCs to demonstrate the feasibility and effectiveness of AI/ML solutions, showcasing the potential of new technologies to clients. Collaboration: Work closely with development teams to explore and implement new use cases for AI and automation. Best Practices: Collaborate with your team to establish best practices and ensure high-quality development standards. Innovation: Contribute to the innovation of cloud-based enterprise automation solutions and the development of cutting-edge AI technologies. Key Requirements: Experience: Minimum 3 years of hands-on experience in implementing AI/ML models in enterprise environments. AI/ML Knowledge: Strong understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Skills: Proficiency in Python or R, with experience in SQL for querying databases. Data Handling: Expertise in working with large datasets, performing data preprocessing, and effectively managing data pipelines. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML is preferred for deploying machine learning solutions. Frameworks & Libraries: Familiarity with machine learning libraries like scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking and problem-solving abilities, with the capacity to design and run experiments to validate hypotheses. Business Process Understanding: Knowledge of business processes and how they can be automated through AI and ML. Domain Expertise: Experience or interest in areas like Demand Forecasting, Anomaly Detection, Pricing, Recommendations, or Analytics. Global Experience: Proven experience in working with global customers on diverse projects, understanding their needs, and delivering tailored solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to clearly explain complex AI concepts to clients and team members. Collaboration & Independence: Ability to work both independently and as part of a team, collaborating with cross-functional teams to drive success. Educational Background: A Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or expertise in AI, ML, Deep Learning, NLP/NLU, Computer Vision, or similar domains is highly desirable.

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!

About the Job Like Google's own ambitions, the role of a Software Engineering Manager goes beyond Search. This position combines technical leadership with team management to drive high-impact AI/ML projects while enabling engineers to deliver their best work. You ll manage project goals, product strategy, and team development, ensuring that both innovation and execution stay at the forefront. Google s engineering teams tackle challenges across AI, natural language processing, large-scale system design, distributed computing, security, and more. As a manager, you ll guide the team in exploring new technologies while building AI/ML solutions that scale for Google's IT and Support business, driving efficiencies at scale through automation. In Corp Eng, we deliver world-class business solutions for all Googlers. By combining AI, ML, and automation, we help improve processes, build impactful solutions, and empower teams to create more helpful products and services. Simply put: We are Google for Googlers. Responsibilities Lead a team of engineers, driving technical strategy and execution of key AI/ML projects, ensuring timely and high-quality delivery. Build applied ML products using the latest ML techniques and tools (e.g., TensorFlow, deep learning, natural language processing). Drive engineering projects and ML model development to enable agentic automation and deliver scalable solutions. Collaborate with leadership across functions to identify new opportunities, design solutions, and shape the vision for AI/ML in the IT and Support space. Minimum Qualifications Bachelor s degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience in software development using one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow) or applied ML (e.g., deep learning, natural language processing). 3 years of technical leadership experience, including 2 years in people management or team supervision. Preferred Qualifications Master s degree or PhD in Engineering, Computer Science, or a related technical field. Strong knowledge of AI/ML algorithms, techniques, and tools. Excellent problem-solving, analytical, and communication skills.

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.

Description Einstein products & platform democratize AI and transform the way Salesforce builds trusted machine learning and AI products - in days instead of months. It augments the Salesforce Platform with the ability to easily create, deploy, and manage Generative AI and Predictive AI applications across all clouds. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc. We are already producing over a billion predictions per day, Training 1000s of models per day along with 10s of different Large Language models, serving thousands of customers. We are enabling customers' usage of leading large language models (LLMs), both internally and externally developed, so they can leverage it in their Salesforce use cases. Along with the power of Data Cloud, this platform provides customers an unparalleled advantage for quickly integrating AI in their applications and processes. About the team: Join the AI Cloud Quality Engineering team, and become a specialist on Salesforce's AI Platform and applications! You will be a key member of the Quality Engineering team in India as we build the India organization, while working with experts worldwide. You'll get to work with latest technology in the AI space (including generative AI), and collaborate with the team and cloud to identify and run quality initiatives to support massive scale planned both in the short term and long term. We are a small, friendly team that has been working together for years - outside of quality, we focus on volunteering and other shared interests. Job description summary: As a Quality Engineer for the Salesforce AI Cloud, you will be responsible for leading the design, development and execution of comprehensive test plans/quality strategies with emphasis on automation . You will collaborate closely with product & engineering teams, actively contributing to the quality of new features while ensuring successful execution of regression tests in various environments. You will be working in a fast phased environment and will be expected to understand complex backend AI flow systems/dependencies, identifying potential risks, and strategically plan and execute comprehensive testing efforts to ensure the stability, reliability and quality of the feature and release. Skills needed for role: * Strategic and Tactical leadership : Experience leading analysis of coverage gaps and writing E2E and integration tests, partnering with teams to drive service level test coverage * Technical Expertise: Technical excellence and leadership required in identifying, developing and maintaining tests involving API, databases and web UI tests. Strong knowledge of automation tools and continuous automation systems. * Cross Team Collaboration: Ability to work with stakeholders (internal customers) from multiple organizations that leverage our central platform for custom applications. Collaborate with them to determine key shared usage patterns to prioritize test coverage of, as well as provide guidance to these customers on how to proactively test their application s integration with the platform. * Strong knowledge and experience of Java/Python/Selenium/CD pipeline configurations * Excellent communication skills: Experience generating reports, presenting and holding the quality bar for new features & release * Experience working in Global teams: Ability to work and partner with peers and other partner teams across timezones. * 8+ years of QE experience and 2+ years of experience leading projects and partnering/leading junior members of the team. Nice to have skillsets (or skillsets expect to develop in this role): * Understanding of LLM Model hosting with Sagemaker * Understanding LLM Finetuning and Inferencing * Testing integrations with Cohere, Anthropic, Dolly, Google, etc. as well as internal models * Sagemaker GroundTruth integration for data labelling, Bedrock for model serving * Experience with Azure Open AI * Experience with Tableau around creating dashboards for reporting What the team does: * Center of Excellence for Quality within the AI Platform teams, driving excellence through automation, tools, and streamlined processes (evangelizing shift left methodologies) . * Building/enhancing test frameworks/tooling for the easy creation and maintenance of integration and end-to-end tests. * Proactively drive quality by monitoring and reporting of test stability metrics for pre-prod & Prod environments through dashboards, triaging and filing and follow up of bugs. * CUJs(Critical User Journey test) for cross-cloud integration and apps * Configure tooling/runners for automated tests, used by scrum teams * Configure various test environments such as setting up core test env hawking test env connectivity * Define and measures Quality metrics (code coverage, endpoint coverage, service coverage, etc.) goals are met for the ML foundations * Automation strategies and framework support for all kinds of testing * Identify risks with releases, deployments, etc. * Support TAM expansion to multiple geographies and monitoring platform stability * Daily management of Integration tests pass rates in Test, App-Dev, Stage & Prod environments - bugs created/assigned if failures not being addressed, building test result dashboards and simplifying feedback/debugging process for engineers

Job Title: Presales Engineer Location: Hyderabad, India About the Role As a Presales Engineer at Kanerika, you will play a pivotal role in crafting compelling solutions that resonate with clients and drive business success. You'll collaborate closely with sales, delivery, and solutioning teams to respond to client opportunities with precision, agility, and strategic insight. Key Responsibilities Customer Engagement & Soft Skills Communicate effectively with stakeholders at all levels, including C-level executives. Build strong, trust-based relationships to facilitate smooth project execution. Ask insightful questions to uncover hidden client needs and context. Leverage collaboration tools such as MS Teams, OneDrive, calendars, and proposal templates efficiently. Deliver compelling presentations tailored to the audience, emphasizing value and fit. Support negotiation efforts related to resources, estimates, and timelines. Agility & Responsiveness Lead bid kickoffs with speed and precision, aligning the right internal teams. Maintain strict adherence to bid timelines and planning processes. Ensure timely follow-ups and reminders throughout the bid lifecycle. Demonstrate proactive risk identification and early deliverable planning, such as mock-ups and early win themes. Delivery Quality & Process Compliance Ensure consistently high-quality, well-articulated language across proposals. Customize document structures based on standard templates or RFP-specific requirements. Guarantee completeness and accuracy of functional, technical, and creative proposal content. Comply with internal processes and maintain a knowledge repository. Produce visually polished documents with consistent formatting and adherence to brand or client standards. Strategic Intelligence & Value Addition Provide the bid team with valuable insights on client industries, competition, and potential budgets. Identify and empathize with underlying customer challenges. Weave win themes throughout proposals and craft compelling executive summaries. Validate proposed solutions and estimates critically and constructively. Ensure the executive summary is factually accurate and strategically impactful from the outset. Leveraging Organizational Expertise Curate and include relevant case studies aligned with the client s context. Engage the best internal experts based on opportunity specifics. Apply learnings from previous presales efforts to enhance new deliverables. Collaborate with support functions such as Legal, HR, and Information Security when needed. Qualifications & Requirements Must-Have MBA from a reputed institute. Minimum 3 years of experience in IT Presales. Soft Skills Excellent written and verbal communication. Strong presentation and interpersonal skills. Adaptable, diligent, and collaborative work ethic. Technical Skills Solid understanding of presales methodologies and lifecycle. Foundational knowledge of business analytics and AI concepts. High levels of emotional and intellectual intelligence (EQ & IQ). Culture & Perks Open Door Policy: Transparent communication across all levels. Open Office Environment: Encourages collaboration and innovation. Flexible Working Hours: Empowering work-life balance. Employee Referral Program: Incentives for bringing in top talent.

Senior Data Engineer Hyderabad (On-site, Full-time) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years Industry: AI & Data Science Company: Blend About Blend: Blend is a leading AI services company focused on solving real-world problems through the fusion of artificial intelligence, data science, and human ingenuity. We believe in co-creating meaningful impact by aligning top-tier talent with cutting-edge technology. Our goal is to deliver transformative solutions that unlock value for our clients and enrich the work and lives of our people. Job Overview: We are seeking a highly skilled Senior Data Engineer with strong experience in AWS, Databricks, Python, SQL, and Apache Spark/PySpark. You will be responsible for designing, developing, and maintaining scalable data architectures and pipelines to support analytics, machine learning, and business intelligence efforts across the organization. Key Responsibilities: Design and build scalable data pipelines using AWS services (Glue, Lambda, S3, EMR) and Databricks Notebooks & Workflows. Develop and manage robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. Implement distributed data processing using Apache Spark or PySpark. Create and maintain data lakes in AWS Databricks. Collaborate with data scientists, analysts, and cross-functional teams to provide high-quality, accessible datasets. Ensure adherence to data governance, quality, and security best practices. Monitor, troubleshoot, and optimize the performance of data systems. Conduct code reviews and enforce engineering best practices. Mentor junior engineers and support their technical growth. Required Qualifications: Bachelor's or Master s degree in Computer Science, Engineering, or related field. 5+ years of experience in Data Engineering, with 2+ years working in AWS Databricks environments. Strong programming skills in Python for data processing and workflow automation. Advanced expertise in SQL for data transformation and querying large datasets. Proficient in distributed data processing using Apache Spark/PySpark. Solid understanding of data modeling, data warehousing, and performance optimization techniques. Hands-on experience with AWS services such as Glue, S3, Lambda, and EMR. Familiarity with version control tools like Git or CodeCommit. Experience with workflow orchestration tools like Airflow or AWS Step Functions (preferred but not mandatory). Be part of a forward-thinking, AI-driven organization. Work with cutting-edge cloud technologies and data platforms. Thrive in a culture of innovation, mentorship, and continuous learning. Enjoy opportunities to grow technically and professionally while driving real-world impact. Apply Now to join Blend as a Senior Data Engineer and help build data infrastructure that powers intelligent decision-making. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or related field.