Dialysis Machine Jobs in Hyderabad

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

Senior 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.

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

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: 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.

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 Description: NephroPlus is seeking a dedicated and experienced Enpidia Trainer to join our team in Enpedia The ideal candidate will be responsible for training students enrolled in our Dialysis Technician course, ensuring they receive both theoretical knowledge and practical skills to excel in the field of dialysis care. Roles & Responsibilities: Conduct comprehensive training sessions for students enrolled in the Dialysis Technician course. Develop and implement lesson plans that cover all aspects of dialysis care, including anatomy, physiology, dialysis principles, and patient management. Provide hands-on training and supervise practical sessions at NephroPlus centres, ensuring students gain real-world experience. Assess student performance through regular evaluations, exams, and practical assessments Foster a supportive and engaging learning environment, encouraging student participation and growth. Stay updated with the latest developments in dialysis care and integrate new techniques and best practices into the curriculum. Collaborate with the quality team to maintain high standards of training and curriculum. Prepare and maintain training materials, records, and reports. Qualifications: A degree in dialysis or a related field (Bachelor s degree preferred). Proven experience in dialysis care, with a strong understanding of dialysis principles and patient management. Previous teaching or training experience is highly desirable. Qualification : A degree in dialysis or a related field (Bachelors degree preferred).

Job Title: Data Engineering Manager Location: Hyderabad About Kanerika Kanerika Inc. is a leading global software products and services company dedicated to empowering data-driven enterprises. We help businesses accelerate digital transformation and maximize impact by delivering innovative, custom data solutions that optimize operations, enhance customer experiences, and fuel growth. Our Accolades Best Place to Work 2022 Great Place to Work Top 10 Most Recommended RPA Startups 2022 RPA Today Technology Innovation Award 2021 Frost & Sullivan India for Kompass composable solution Recognized for strong data privacy and security standards: ISO 27701, SOC2, GDPR compliant With a 4.5/5 Glassdoor rating, Kanerika fosters an inclusive, growth-oriented culture where employees thrive. We offer: Flexible working hours and generous parental leave Mandatory training on a safe and inclusive work environment Mentorship, professional development, and certification support Company-sponsored outings and work-life balance initiatives Join a vibrant, diverse community where your contributions truly matter. The Role We are looking for an experienced Data Engineering Manager to lead and inspire our data engineering team in Hyderabad. Partnering closely with Data Architects, you ll drive the design and development of scalable, cloud-based data pipelines and models, ensuring data quality, security, and performance. What You ll Do Lead and mentor a high-performing data engineering team, driving productivity and accountability. Collaborate with architects and development leads to build scalable, enterprise-grade data solutions. Oversee agile workflows, manage escalations, and coordinate hiring and resource planning. Use data-driven insights to guide team priorities and continuous improvement. Support pre-sales activities and work cross-functionally with sales and recruitment teams. Foster a culture of innovation, quality-first mindset, and customer focus. Who You Are A proactive leader with experience managing mid to large-sized teams and complex projects. An effective communicator, both verbally and in writing, with a knack for visually presenting ideas and core values. Results-oriented with a proven track record of delivering successful projects and publishing customer case studies. A process-driven, independent thinker who thrives under pressure and embraces continuous learning. Passionate about inclusivity and committed to contributing authentically to a diverse team environment.

Data Architect Hyderabad Experience: 10-17 Years Job Type: Full-Time | On-site/Hybrid Location: Hyderabad, India Industry: Data Engineering / Cloud Architecture Job Overview We are looking for an experienced Data Architect with 10+ years of expertise in designing, optimizing, and managing enterprise-scale data architectures on Azure Cloud. The ideal candidate will lead efforts to enhance data pipeline performance, ensure robust data governance, and drive cost-effective cloud resource utilization. If you excel in architecting scalable, secure, and high-performing data solutions, this is your chance to join a dynamic team in Hyderabad. Key Roles & Responsibilities Design, optimize, and maintain data pipelines, ETL processes, and complex queries to maximize performance and scalability. Improve query execution plans, indexing strategies, and optimize storage in Azure SQL, Azure Synapse Analytics, and Azure Data Lake. Implement advanced data management techniques such as data partitioning, caching, and compression for efficient data processing. Monitor cloud resource consumption and implement cost-saving strategies without impacting system performance. Optimize use of Azure services including Databricks, Data Factory, Synapse Analytics, and storage accounts to balance performance and cost. Establish and enforce coding standards, design patterns, and best practices for data pipeline development and cloud infrastructure management. Define and implement data governance, security, and compliance policies aligned with organizational and regulatory requirements. Develop and oversee CI/CD pipelines using DevOps methodologies tailored to data engineering workflows. Implement monitoring, alerting, and logging solutions using Azure Monitor, Log Analytics, and Application Insights to ensure system reliability. Architect solutions for high availability and disaster recovery to maintain business continuity. Optimize Power BI data models, DAX queries, and report performance; ensure governance and data refresh strategies meet business needs. Collaborate with cross-functional teams and business stakeholders to translate requirements into scalable and actionable data insights. Required Skills & Qualifications 10+ years of experience in data architecture, cloud data engineering, or related roles. Deep expertise in Azure Cloud data services: Azure SQL, Synapse Analytics, Data Lake, Databricks, Data Factory. Strong background in ETL pipeline optimization, query tuning, and storage management. Proven experience with data governance, security frameworks, and compliance standards. Familiarity with DevOps principles, especially CI/CD for data workflows. Expertise in monitoring tools like Azure Monitor, Log Analytics, and Application Insights. Hands-on experience optimizing Power BI solutions, including data modeling and report design. Excellent communication and stakeholder management skills. Work on large-scale, cutting-edge data projects impacting enterprise business decisions. Collaborate with a passionate, skilled team in a fast-paced, innovative environment. Competitive salary and benefits package. Opportunity to shape the future of data architecture within a leading organization. Apply Today If you are an expert Data Architect ready to take your career to the next level with advanced Azure data technologies, apply now and join our Hyderabad team!

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.

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.

Job Opening: Senior Content Specialist Location: Hyderabad | Full-Time About Kore.ai Kore.ai is a globally recognized leader in the conversational AI space, helping enterprises deliver extraordinary experiences for their customers, employees, and contact center agents. Our no-code experience optimization (XO) platform and solutions are used by over 150 Fortune 2000 companies from sectors such as banking, insurance, healthcare, telecom, retail, manufacturing, and more, serving over 100M consumers and 500,000+ employees worldwide. With billions of interactions automated using AI-powered technology, we ve helped save over $500M for these companies. Our AI-first no-code platform includes solutions like SmartAssist (AI-first cloud contact center), BankAssist (AI-powered virtual assistant for retail banking), and others that optimize customer, employee, and agent experiences. Recognized by leading technology analysts like Gartner, Forrester, IDC, and others, we are a rapidly growing company and have recently secured Series C funding of $73.5M. About the Role In this role, you'll create a wide variety of content, from long-form blogs and whitepapers to short-form content like social media posts and infographics. You ll collaborate with product, customer success, and research teams to translate technical insights into valuable, educational, SEO-rich, and thought-provoking content that connects customer challenges with our solutions. Key Responsibilities Create high-impact content: Develop long-form assets (blogs, whitepapers, guides) and engaging short-form content (infographics, social media posts) that captivate our audience. Translate technical concepts: Understand our product s technical aspects and craft content that highlights customer pain points and business value. Leverage research & insights: Use customer stories, industry reports, and data-driven research to enrich content with credibility and depth. Drive thought leadership & engagement: Develop content that sparks discussions, educates audiences, and enhances brand authority in the industry. Optimize for SEO & discoverability: Write content that balances storytelling with keyword optimization to improve search rankings and organic reach. Collaborate cross-functionally: Work closely with product marketing, demand generation, and sales teams to align content with business goals and customer needs. Qualifications & Skills 5+ years of experience in content creation, marketing, or a related field. Proven experience in writing both long-form and short-form content that aligns with SEO best practices. Strong ability to understand and simplify complex technical concepts for diverse audiences. Exceptional writing, editing, and proofreading skills with a focus on clarity, style, and tone. Experience in creating content for a B2B audience, preferably in technology or AI sectors. Ability to collaborate with cross-functional teams to ensure content aligns with business goals and drives customer engagement. Work at the forefront of conversational AI technology, innovating for global enterprises. Join a rapidly growing company recognized by leading technology analysts in AI and automation. Be part of a passionate, diverse team driving AI innovations to enhance customer experiences worldwide. Founded in 2014 by serial entrepreneur Raj Koneru, Kore.ai is headquartered in Florida, USA, with additional offices in India, the UK, Germany, Korea, and Japan. We re a diverse team of 500+ professionals, led by seasoned leadership with a mission to push AI innovations to the next level and serve customers worldwide.

Job Opening: Social Media Manager Location: Hyderabad | Full-Time About Kore.ai Kore.ai is a globally recognized leader in the conversational AI space, helping enterprises deliver extraordinary experiences for their customers, employees, and contact center agents. Our no-code experience optimization (XO) platform and solutions are used by over 150 Fortune 2000 companies from sectors such as banking, insurance, healthcare, telecom, retail, manufacturing, and more, serving over 100M consumers and 500,000+ employees worldwide. With billions of interactions automated using AI-powered technology, we ve helped save over $500M for these companies. Our AI-first no-code platform includes solutions like SmartAssist (AI-first cloud contact center), BankAssist (AI-powered virtual assistant for retail banking), and others that optimize customer, employee, and agent experiences. Recognized by leading technology analysts like Gartner, Forrester, IDC, and others, we are a rapidly growing company and have recently secured Series C funding of $73.5M. About the Role We are looking for a strategic, data-driven, and highly creative Social Media Manager to elevate our brand presence and position social media as a key driver for brand building and lead generation. This role is for someone who lives and breathes social media, understands audience behavior, and can spark engaging conversations that drive business impact. The ideal candidate should be well-versed in social media management, content strategy, engagement tactics, analytics, and automation tools to maximize our reach and ROI. Key Responsibilities Social Media Strategy & Content Creation: Develop and execute a results-driven social media strategy aligned with lead generation and brand-building goals. Create compelling content: Craft engaging, conversation-driven content that positions us as a thought leader in B2B tech, AI, and enterprise automation. Repurpose content assets (blogs, whitepapers, reports) into various post formats like polls, carousels, and videos to maximize engagement. Community Engagement & Growth: Actively engage with audiences across LinkedIn, Twitter, YouTube, Instagram, and emerging platforms. Track conversations and join industry discussions to boost visibility. Analytics, Reporting & Optimization: Use tools like Sprout Social, Buffer, or Hootsuite for content scheduling, monitoring, and automation. Build reports to track engagement, follower growth, and lead generation. Lead Generation & Performance Tracking: Work with marketing teams to align social media with lead generation goals. Track social-driven leads, engagement-to-conversion rates, and impact on pipeline growth. Qualifications & Skills 5+ years of experience in social media management with proven success in B2B SaaS, AI, or enterprise tech. Strong storytelling and copywriting skills to craft posts that drive engagement and brand recall. Hands-on experience with social media management tools (Sprout Social, Buffer, Hootsuite, etc.). Expertise in social media analytics, reporting, and performance tracking. Knowledge of SEO, social media algorithms, and audience engagement strategies. 2+ years of experience with Figma and Canva for content creation and Asana for project management. Passion for emerging social media trends, AI-powered content strategies, and data-driven decision-making. An up-to-date portfolio of social media content, accounts, and performance metrics. Wow Factor 5+ years with Figma, with the ability to create, edit, and animate digital content. Knowledge of Adobe suite, particularly Premiere Pro and After Effects, for video editing and animation of digital ads. Experience with AI tools within apps for work, including building content bots that align with brand values. Work at the forefront of conversational AI technology, innovating for global enterprises. Join a rapidly growing company recognized by leading technology analysts in AI and automation. Be part of a passionate, diverse team driving AI innovations to enhance customer experiences worldwide. Founded in 2014 by serial entrepreneur Raj Koneru, Kore.ai is headquartered in Florida, USA, with additional offices in India, the UK, Germany, Korea, and Japan. We re a diverse team of 500+ professionals, led by seasoned leadership with a mission to push AI innovations to the next level and serve customers worldwide.

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!

General Summary: Qualcomm is at the forefront of technological innovation, leveraging data-driven insights to power business decisions. We are seeking a Senior/Lead Data Engineer to design, develop, and implement advanced data solutions to support Qualcomm s business goals. This role will involve building scalable data pipelines, integrating large datasets, and collaborating with cross-functional teams to unlock the value of data. As a key technical leader, you will help shape Qualcomm s data infrastructure and work closely with data scientists, analysts, and business stakeholders to ensure the delivery of reliable and high-quality data solutions. Key Responsibilities: Design and implement scalable data pipelines and ETL processes for structured and unstructured data. Develop and optimize data lake, data warehouse, and real-time data processing solutions. Collaborate with data scientists, analysts, and product teams to understand data requirements and translate them into robust data solutions. Ensure data quality, reliability, and security across all data systems and pipelines. Build and maintain data models that support business intelligence and advanced analytics needs. Optimize data workflows for performance, scalability, and cost-efficiency. Provide technical leadership and mentorship to junior data engineers. Stay up to date with emerging technologies and recommend solutions to improve data architecture. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Information Systems, Engineering, or related field. 5+ years of experience in data engineering or related roles. Proficiency in Python, SQL, and Scala, with experience in building scalable ETL pipelines. Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka). Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Solid understanding of data modeling, data architecture, and real-time data processing. Experience with CI/CD, containerization (Docker, Kubernetes), and DevOps practices. Preferred Qualifications: Knowledge of machine learning pipelines and working with data science teams. Experience with streaming data frameworks (e.g., Apache Flink, Spark Streaming). Strong understanding of data governance, compliance, and security best practices. Excellent problem-solving, communication, and team collaboration skills. Why Join Qualcomm? At Qualcomm, you ll work on cutting-edge projects, collaborating with global teams to solve challenging problems. We offer: Continuous learning and growth opportunities. Flexible working arrangements and a supportive work culture. The chance to work with innovative technologies and industry leaders.

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.

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.