Deep Learning Jobs in Hyderabad

AI Solution Architect Full-Time | Hyderabad, India Department: Engineering Experience: 10+ years in AI/ML Location: On-site | Hyderabad, Telangana Salary: Competitive, based on experience About the Role We are looking for an experienced and visionary AI Solutions Architect to design, build, and scale advanced AI/ML solutions as part of our cutting-edge ZL Platform. This role requires deep technical expertise in machine learning, large language models (LLMs), model deployment, and a strong understanding of customer-driven product development. You'll collaborate with cross-functional teams Engineering, Product, Sales to translate business needs into impactful AI systems. Key Responsibilities Architect and lead the development of scalable AI/ML solutions integrated with the ZL Platform. Partner with Engineering, Product, and Sales teams to deliver PoC (proof of concept) demos and ensure successful customer adoption. Take ownership of AI and machine learning components, ensuring high quality, maintainability, and performance. Collaborate directly with customers and stakeholders to understand business problems and deliver technically sound solutions. Stay current with AI research and industry trends including model quantization, transformers, and vector databases and integrate advancements into platform architecture. Fine-tune and deploy LLMs (Large Language Models) using frameworks like PyTorch and Hugging Face Transformers. Provide mentorship to engineering teams and contribute to a culture of technical excellence and innovation. Optimize models for deployment in real-world environments with a focus on latency, scalability, and resource efficiency. Translate business problems into AI opportunities and present solutions to internal and external stakeholders. Preferred Skills & Expertise Strong background in deep learning, natural language processing (NLP), and LLMs. Experience with PyTorch, transformers, and AI model quantization and deployment. Production-level experience in deploying ML models in enterprise SaaS environments. Working knowledge of vector databases and semantic search optimization. Proven experience in PoC development, technical solution design, and delivering enterprise AI solutions. Familiarity with cloud platforms (e.g., Azure AI, AWS, GCP) for model hosting and orchestration. Qualitative Expectations Strong ownership mindset you own problems end-to-end and proactively fill knowledge gaps to deliver solutions. Thrive in fast-paced, evolving environments with loosely defined problems and multiple priorities. Excellent communicator with the ability to present technical concepts to both technical and non-technical audiences. Passionate about learning and sharing findings with peers; an enthusiastic self-starter and collaborator. Strong track record of innovation and continuous improvement. Education & Experience Master s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. 10+ years of professional experience in AI/ML, with hands-on experience designing, deploying, and scaling machine learning systems in production. Work at the forefront of enterprise AI and LLM innovation. Collaborate with world-class engineering, research, and product teams. Contribute to the development of AI products used by global enterprises. Competitive compensation and professional growth opportunities. Apply now to join us as an AI Solution Architect in Hyderabad. Qualification : Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline.

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 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.

Senior Data Scientist Location: Hyderabad, Telangana, India Employment Type: Full-Time Overview Microsoft Search powers delightful and relevant experiences for enterprise users, and AI-driven Copilots have turned futuristic visions into current-day reality. We are seeking candidates who can help build the next-generation machine learning systems to drive innovation in search ranking, clustering, recommendation systems, and much more. As a Senior Data Scientist in the team, you will work independently on complex problems, define success metrics, and contribute to design and review processes for machine learning/data pipelines across the team. If you're ready to tackle challenging data science problems and help shape the future of search, we want you on our team! Key Responsibilities End-to-End Ranking: Oversee the ranking of search results and contribute to enhancing search relevance. Large Language Models (LLMs): Work on developing and deploying large language models to improve search experience and AI-powered copilots. AI-powered Copilot Scenarios: Drive innovations in AI systems that enhance user productivity and engagement through Copilot capabilities. Compliance & Privacy: Develop machine learning training pipelines at scale that are privacy and compliance-aware. Personalization: Customize search results and recommend relevant content based on user preferences. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 2+ years of data science experience OR Master s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 5+ years of data science experience OR Bachelor s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years of data science experience. Experience working with both structured and unstructured data, applying statistical techniques, and reporting results. Hands-on experience with implementing and shipping production-quality machine learning models or data pipelines. 2+ years of customer-facing, project-delivery experience, professional services, and/or consulting experience. Strong programming skills in Python, R, or similar languages, and familiarity with machine learning libraries. Preferred Qualifications: Prior work or research experience in the Search domain is highly preferred. Familiarity with large-scale distributed systems, cloud platforms (such as Azure), and real-time machine learning applications. Experience with deep learning and large language models (LLMs). Familiarity with compliance and privacy in machine learning pipelines. Microsoft s mission is to empower every person and organization on the planet to achieve more. At Microsoft Search, you will be part of a team solving impactful problems for millions globally. Join us to drive cutting-edge advancements in AI and contribute to shaping the future of search and user experiences. Employee Benefits Industry-leading healthcare coverage Generous time off and family leave policies Access to educational resources and professional development Employee discounts on Microsoft products and services Opportunities for networking and global collaborations Inclusive and supportive work environment with a focus on work-life balance Microsoft is an equal opportunity employer. We are committed to creating a diverse and inclusive environment where every individual is treated with respect and can thrive. Join us to make a global impact through innovation, collaboration, and diversity.

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.

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

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!

Summary: As an AI/ML Developer, you ll play a pivotal role in creating and delivering cutting-edge enterprise applications and automations using Infor s AI, RPA, and OS platform technology. Your mission will be to identify innovative use cases, develop proof of concepts (PoCs), and deliver enterprise automation solutions that elevate workforce productivity and improve business performance for our customers. Title: Software Engineer Experience: 2-5 years. Skill: AI/ML, Python, AWS, SQL Location: Hyderabad Key Responsibilities: Use Case Identification: Dive deep into customer requirements and business challenges. Identify innovative use cases that can be addressed through AI/ML solutions. Data Insights: Perform exploratory data analysis on large and complex datasets. Assess data quality, extract insights, and share findings. Data Preparation: Gather relevant datasets for training and testing. Clean, preprocess, and augment data to ensure suitability for AI tasks. Model Development: Train and fine-tune AI/ML models. Evaluate performance using appropriate metrics and benchmarks, optimizing for efficiency. Integration and Deployment: Collaborate with software engineers and developers to seamlessly integrate AI/ML models into enterprise systems and applications. Handle production deployment challenges. Continuous Improvement: Evaluate and enhance the performance and capabilities of deployed AI products. Monitor user feedback and iterate on models and algorithms to address limitations and enhance user experience. Proof of Concepts (PoCs): Develop PoCs to validate the feasibility and effectiveness of proposed solutions. Showcase the art of the possible to our clients. Collaboration with Development Teams: Work closely with development teams on new use cases. Best Practices and Requirements: Collaborate with team members to determine best practices and requirements. Innovation: Contribute to our efforts in enterprise automation and cloud innovation. Key Requirements: Experience: A minimum 3 years of hands-on experience in implementing AI/ML models in enterprise systems. AI/ML Concepts: In-depth understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Languages: Proficiency in Python or R, along with querying languages like SQL. Data Handling: Ability to work with large datasets, perform data preprocessing, and wrangle data effectively. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Frameworks and Libraries: Familiarity with scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking abilities to identify problems, formulate hypotheses, and design experiments. Business Process Understanding: Good understanding of business processes and how they can be automated. Domain Expertise: Familiarity with Demand Forecasting, Anomaly Detection, Pricing, Recommendation, or Analytics solutions. Global Project Experience: Proven track record of working with global customers on multiple projects. Customer Interaction: Experience facing customers and understanding their needs. Communication Skills: Excellent verbal and written communication skills. Analytical Mindset: Strong analytical and problem-solving skills. Collaboration: Ability to work independently and collaboratively. Educational Background: Bachelor s or Master s degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or specialization in AI, ML, Statistics & Probability, Deep Learning, Computer Vision, or NLP/NLU is advantageous. About Infor: Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.

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.

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.

Job Title: Manager - Data Science Location: Hyderabad Department: Data Science Employment Type: Full-Time, Permanent Role Overview: As a Manager - Data Science at Blend, you won t just manage you'll lead by doing. This role demands strong hands-on expertise in Machine Learning (ML), Generative AI, Python, SQL, and any cloud environment (GCP, Azure, or AWS). You will stay deeply engaged in the technical side while mentoring and growing a high-performing team. You ll be responsible for leading end-to-end AI/ML project execution, collaborating with cross-functional teams, and driving innovation within Blend's Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, we d love to have you on board! Key Responsibilities: Delivery & Project Management: Lead the development and implementation of ML models, Generative AI solutions, and predictive analytics. Perform data mining, feature engineering, and statistical analysis to extract meaningful insights. Own project roadmaps, ensure quality control, and drive timely delivery of projects. Collaborate with Data Engineering teams to deploy and operationalize ML models. Automate and optimize workflows to enhance efficiency and streamline processes. Practice Development: Contribute to the scaling of Blend s Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership in AI/ML. Evaluate emerging AI trends and tools and integrate them into Blend s ecosystem. Lead innovation initiatives, research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team. Guide team members' career development and set performance benchmarks. Collaborate with cross-functional teams to ensure seamless execution of projects. Qualifications: Experience: 8+ years in Data Science & AI, with hands-on expertise in ML, Generative AI, Python, and SQL. Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Proven experience in end-to-end ML deployment, including working with Azure, AWS, GCP, or Databricks. Industry Expertise: Demonstrated ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce. In-depth understanding of statistics, probability, stochastic processes, and causal inference. Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders. Experience with big data tools such as Hadoop, Hive, PySpark, and ML pipelines. Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics. Education: Bachelor s/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field. What You Get in Return: Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise and experience. Dynamic Career Growth: Our vibrant environment offers opportunities for rapid growth, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Our Idea Tanks offer a space for you to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Engage in casual Growth Chats to learn from the best, whether it s over lunch or a laid-back session with peers. Snack Zone: Enjoy a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We support your growth by covering the cost of certifications to level up your skills. If you're ready to lead cutting-edge AI projects and grow within a dynamic team, Blend is the place for you. Apply today to be part of an innovative and collaborative culture! Qualification : Bachelors/Masters degree inComputer Science, Statistics, Math, Operations Research, or a related field.

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.

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.

Introduction At IBM, work is more than a job it s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world s most challenging problems? If so, lets talk. Your Role and Responsibilities We re looking for software development candidates that want to turn ideas into reality, focus on innovation and development in our modernization journey. Our Strategic Product Development team creates and delivers exciting product features that impact the business to be successful. You ll work alongside global and local multidisciplinary teams of Developers, Architects and Analysts focused on the next generation of solutions. Do you enjoy working and thrive in a Challenging yet collaborative team environment? Passionate about technology and software? You have extremely strong analytical, problem-solving and troubleshooting skills? If so, you ll fit right in with our team. You employ creative thinking and collaboration as the foundation of your daily approach towards our Product development team. At IBM, job is more than work! It offers you thrive on career as well as on skills to be latest with a perfect work-life balance. Required Technical and Professional Expertise 2 10 years of relevant industry experience in Artificial Intelligence and Machine Learning Platforms with specialization in Generative AI. Solid experience of Python Programming Language. Experience with Large Language Models and Natural Language Processing Familiarity with the Pytorch framework Experience with software development lifecycle Excellent problem determination skills Excellent written and oral communication skills Excellent organizational skills Preferred Technical and Professional Expertise Design experience for supporting new requirements. Willingness to learn new skills and technologies. Experience using git and github Familiarity with Node.js and creating VS Code extensions Flexible to work between development/test/support roles. Knowledge on other programming languages (C/C++, Java, Open-Source Programming Languages) is added advantage.

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

Overview The Web Experiences Team (WebXT) at Microsoft is accelerating innovation to enable engaging web experience products for every person. Our team uses latest NLP deep learnt models to prepare Grounding data for our Copilot efforts. Doing this at web-scale impacts billions of queries per day and millions of users. If you are excited and passionate about running end to end experiments, creating substantial impact, you will find home in our team. We are looking for a Data & Applied Scientist IIwho is excited to work on ML/DL models capable to work at internet scale. An ideal candidate will have good Machine/Deep Learning knowledge with hands on experience in solving complex real-world ML/DL problems. In addition, the candidate will have knowledge of one or more ML/DL frameworks and a deep understanding of the different types of algorithms and their applications with hands-on experience in implementing at least a few of the solutions. We hire people excited to solve the hard problems, eager to work in a larger team of data scientists and engineers and ready to make an impact on how the web works. As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work closely together. We collaborate regularly across the company both to find the technology breakthroughs from groups like Microsoft Research to infusing AI into the rest of Microsoft products like Office. We would like you to get a peek into our culture on Instagram (@lifeatstci) and below is more about this job and what we are looking for. Happy applying! Visit us at https://aka.ms/STCI 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. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. Additional or Preferred Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electricalor Computer Engineering, or related field 3+years of professional experience applying Deep learning, Machine Learning concepts in real world applications. Research and/or development experience with machine learning, NLP and data mining. Experience in architecting, developing, and delivering advanced NLP projects. Responsibilities Your responsibilities include: Developing novel machine learning and data mining algorithms. Designing and developing solutions that respond in real time. Build data quality checks and re-usable modules for the training. Host ML models with production-ready code. Designing and executing offline/online experiments. Advancing the state of the art of NLP technologies for real world scenarios. Investigating and solving NLP accuracy and robustness issues across all processing chains, including model development, test and quality control, deployment, and user feedback stages. Qualification : Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)

Job title: Data Scientist Location : IN / Hyderabad About the job An exciting opportunity to join our risk-based monitoring team. Risk-based monitoring (RBM) is an adaptive approach to clinical trial monitoring that directs focus and activities to critical data and processes that have the most potential to impact patient safety and data quality. In this context, the RBM team is responsible for designing, executing, and optimizing the Sanofi RBM approach to align with regulatory requirements and Sanofi's objective to drive quality, efficiency, and speed of clinical trials. The D ata Scientist (DS) is responsible for setting up and refreshing the RBM application for assigned studies, ensuring a seamless data flow, and configuring the system to meet RBM specifications and industry standards. You will work closely with Central Monitors and study Lead DS together to delivery RBM activities. If you are passionate about leveraging data to drive excellence in clinical trials, this is the opportunity for you. Main responsibilities: Data Extraction and Processing:Extract data from various systems and ensure it is preprocessed correctly, supporting the accuracy and reliability of our monitoring processes.. Dashboard Management:You will be in charge of setting up and updating KRI, DQA, QTL, and SPOT dashboards with precision and within the set timelines, adhering to established processes and standards. Script Execution and Updates:Execute SAS or Python scripts, updating parameters as required to meet the specific needs of each study. Collaborative Problem Solving:Provide a clear explanation of results and signals, working closely with Central Monitors and Lead Data Scientists to deliver effective RBM activities. About you Experience: Experience in a Clinical Research environment (CRO or Pharma). Experience in clinical data programming (SAS, Python, R, ) Soft and technical skills: Learns and adapts quickly when facing new problems. Think critically and use rigorous, objective, and pragmatic methods to solve multidimensional problems with effective and timely solutions. Good at SAS programming skills, it s better be able to develop from scratch. Execute Python script with updating parameters based on studies. Understand clinical trial-related documents with basic clinical knowledge, e.g., Protocol, SDS, CRF. Good interpersonal, communication, and negotiation skills (verbal and written). Able to acquire and apply new technical skills. Education: Bachelor s degree or above, preferably in a life science or mathematics-related area (e.g., computer sciences) Languages: Strong English skills (verbal and written), ability to exchange fluently in a global environment. Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks gender-neutral parental leave. An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team A team that drives the innovation of the monitoring activities that align with future need W e believe that a Data Scientist is not just a job title; it's a role that embodies innovation, curiosity, and the power to transform data into actionable insights. You are the architects of our data-driven future, equipped with the latest technologies and a supportive environment that fosters growth and collaboration. Qualification : Bachelors degree or above, preferably in a life science or mathematics-related area (e.g., computer sciences)

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.