Science Jobs in Gurgaon

Job Title: AI/ML Team Lead Location: Gurgaon Job Family: Research and Development Employment Type: Full-Time Category: Engineering & Technical About CNH Industrial Innovation. Sustainability. Productivity. CNH Industrial is committed to advancing the vital work of farmers and builders worldwide. Our cutting-edge solutions from alternative power sources to precision technology drive productivity while caring for our planet. Join a collaborative global team passionate about innovation and customer success. Job Purpose Lead the design, development, and deployment of advanced AI/ML and Generative AI solutions to drive innovation and business value. Act as the technical and strategic leader shaping AI initiatives, ensuring scalable and ethical architectures aligned with business goals. Manage cross-functional collaboration and communicate complex concepts clearly to drive adoption. Experience in both POCs and production-grade AI solutions is essential. Key Responsibilities Generative AI Leadership Architect and deploy GenAI solutions such as chatbots, intelligent document processing, code generation, content summarization, and personalization. Customize and fine-tune foundation models (GPT, LLaMA, Claude, Mistral) for domain-specific applications. Evaluate and integrate GenAI frameworks (LangChain, Semantic Kernel, LlamaIndex, Transformers). Implement prompt engineering and retrieval-augmented generation (RAG) pipelines at scale. Technical Strategy & Execution Define and execute a Generative AI roadmap aligned with business goals. Collaborate with product, engineering, and business teams to prioritize AI use cases. Lead POCs and pilots validating AI ideas before scaling. Ensure secure, ethical, and governed deployment of AI systems. Team Leadership & Mentorship Lead, mentor, and grow a team of AI/ML engineers and researchers. Establish best practices in model development, experimentation, and deployment. Foster a culture of continuous innovation and learning in GenAI. Platform & Infrastructure (Azure Focus) Deploy and operationalize models on cloud platforms, especially Azure AI services (OpenAI on Azure, Azure ML, Azure Cognitive Search). Manage GenAI infrastructure including vector databases, inference endpoints, and GPU resources for performance and cost-efficiency. Utilize MLOps practices for lifecycle management and reproducibility. Experience Required 8+ years in AI/ML roles with 2+ years focused on Generative AI. Proven hands-on experience with foundation models (GPT-4, Claude, LLaMA) and tooling ecosystems. Proficient in Python and AI/ML libraries such as PyTorch and Hugging Face Transformers. Deep knowledge of prompt engineering, RAG, LLMOps, and model fine-tuning. Experience with vector databases like FAISS, Pinecone, Weaviate, or Azure AI Search. Familiarity with enterprise AI integration via APIs, plugins, and cloud deployment. Preferred Qualifications Bachelor s, Master s, or PhD in Computer Science, Machine Learning, AI, or related fields. Dynamic international career opportunities. Inclusive culture committed to respect and equality. Flexible work arrangements. Savings & retirement benefits. Tuition reimbursement. Parental leave, adoption assistance, fertility & family-building support. Employee Assistance Programs. Charitable contribution matching and Volunteer Time Off. Grow your career with CNH Industrial innovate for a sustainable future and help build better lives.

Job Title: Product Manager (LLMs & AI) Location: Gurgaon, Haryana Experience: 3-7 years Department: Product Management Employment Type: Full-Time About Spyne At Spyne, we are redefining how cars are marketed and sold with cutting-edge Generative AI. What started as a bold idea using AI-powered visuals to help dealers sell online faster has grown into a full-fledged AI-first automotive retail ecosystem. Backed by $16M in Series A funding from Vertex Ventures, Accel, and other top investors, we are scaling rapidly: Expanded across US & EU markets. Launched industry-first AI-powered Image & 360 solutions. Achieved 5X revenue growth in 15 months, with a goal for 3-4X growth this year. We are now rolling out an end-to-end GenAI Automotive Retail Suite and expanding into the US market to bring our AI-driven products to 3,000-4,000 dealers. What We Are Looking For We are looking for an experienced Product Manager to lead the development of Large Language Model (LLM)-powered applications and AI agents. This role will focus on harnessing the power of LLMs (e.g., OpenAI s GPT, Claude, or similar models) to create advanced, context-aware conversational agents and automation systems. As a Product Manager (LLMs & AI), you will work on defining and delivering AI solutions that transform the user experience, streamline processes, and unlock new business opportunities for Automotive dealers and buyers. This is a critical role in shaping Spyne s product strategy, translating user needs into AI-driven solutions, and collaborating with cross-functional teams to deliver innovative, AI-powered products. Product Strategy & Vision: Define and execute the roadmap for LLM-powered applications and AI agents, aligning with market trends and user needs. AI Innovation: Explore cutting-edge applications like chatbots, decision-support systems, and automation tools. Research & Experimentation: Collaborate with engineers and data scientists to fine-tune and deploy LLMs for real-world use cases. AI Advancements: Stay updated on emerging capabilities like multi-turn dialogue, in-context learning, and fine-tuning techniques. AI Agent Development: Build context-aware AI agents that integrate seamlessly into user workflows. Automation Solutions: Develop AI-driven tools for automating tasks like email responses, scheduling, and data extraction. User Experience & Adoption: Convert user pain points into intuitive AI-driven solutions with explainable outputs. Seamless AI-Human Interaction: Ensure smooth AI adoption by refining user interfaces and interactions. Cross-Functional Collaboration: Work closely with Engineering, Data Science, and Design teams to prototype and scale LLM-based features. AI Market Positioning: Collaborate with Sales and Customer Success teams to position AI capabilities as a key differentiator. Performance Metrics: Define and track KPIs such as accuracy, response time, and user engagement. Continuous Optimization: Enhance AI model efficiency and user satisfaction through iterative improvements. What You Must Have 1 3 years of product management experience in AI, SaaS, or data-driven products. Proven experience building or scaling LLM-powered applications (e.g., GPT, Claude). Strong familiarity with fine-tuning, prompt engineering, context management, and model evaluation. Ability to communicate AI concepts to non-technical stakeholders. Hands-on experience with Figma, Jira, and LLM APIs (OpenAI, Anthropic, Hugging Face). Data-driven mindset with a strong grasp of AI product metrics. Thrive in fast-paced, ambiguous environments. Strong Culture: A supportive and collaborative work environment that encourages innovation. Transparency & Trust: High levels of autonomy and trust in decision-making. Competitive Salary & Equity: Stock options for top performers. Health Insurance: Comprehensive coverage for employees and their dependents, including GMC, GPA, and GTLI coverage. Dynamic Growth Environment: Join a fast-paced, high-growth setting that will accelerate your professional development. Shape the Future of AI-Powered Automotive Retail If you're passionate about AI and want to play a key role in transforming the automotive retail experience, join Spyne and help us define the future of AI-powered automotive retail!

Senior Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 6-8 Years About FinBox FinBox is a cutting-edge fintech company that is reshaping how financial services are provided to businesses and consumers. Since our launch in 2017, we ve developed some of the most innovative technologies in the financial services space, enabling lenders such as Banks, NBFCs, and large enterprises to create and launch credit products in just days. As a Series A-funded company, we are expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build the best-in-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set new standards in the era of digital finance. We've helped our clients disburse billions of dollars in credit, covering a wide range of unsecured and secured products like personal loans, business loans, mortgages, and education loans. We ve made a significant impact, supporting over 100 companies and serving millions of customers every month. Why You Should Join FinBox: Innovative Environment: We foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what s possible in fintech. Impactful Work: Your work will directly influence millions of lives by making credit more accessible to individuals and businesses. Growth Opportunities: As a Series A-funded startup, we offer numerous opportunities for professional development and career advancement. Collaborative Culture: Be part of a diverse, inclusive team of experts who are passionate about making a difference and supporting each other. Role Overview: As a Senior Data Scientist at FinBox, you will work at the intersection of data and business, helping to deliver impactful solutions in the lending space. You will be responsible for analyzing large datasets, extracting meaningful insights, and applying advanced data science techniques to improve products and drive business results. Key Responsibilities: Data Analysis & Insights Generation: Analyze big data to produce actionable insights that directly contribute to product improvements and business outcomes. Model Building & Experimentation: Develop and deploy algorithms to extract useful information from large datasets. Use statistical analysis and machine learning techniques to create predictive models. Data Visualization & Reporting: Create interactive dashboards and visualizations to help monitor key metrics and inform stakeholders. Automate report generation using data visualization tools. Collaborate with Teams: Work closely with business teams to translate customer requirements into problem definitions and develop algorithmic solutions to address business challenges. Data Processing & Pre-processing: Gather, clean, and preprocess relevant data for insight generation and model building. Present Complex Results: Distill complex analysis into simple, clear visualizations and explanations for stakeholders at all levels. Apply Data Science Techniques: Use techniques such as exploratory data analysis (EDA), regression analysis, decision trees, clustering, survival analysis, and more. Continuous Improvement: Apply iterative analytics to steer the continuous improvement of products and algorithms. Who You Are: Analytical Thinker: You have strong analytical skills and a passion for deriving actionable insights from complex data. Technical Proficiency: Proficient in Python, R, SQL, and Excel. Familiarity with AWS and Git is highly preferred. Data Science Knowledge: Solid understanding of statistical concepts, machine learning models, and algorithms. Knowledge of data science tools and techniques for large-scale data analysis. Data Visualization Expert: You can create clear and impactful visualizations to communicate findings effectively. Problem Solver: You thrive on tackling ambiguous problems and developing innovative solutions that directly impact the business. Collaborative: You enjoy working in a team environment and are able to translate technical concepts into business-friendly language for diverse audiences. Desired Qualifications: 6-8 years of experience in data science with a focus on machine learning and statistical modeling. Expertise in Python, R, SQL, and Excel for data analysis and visualization. Experience with AWS, Git, and other cloud-based technologies. Solid understanding of statistical concepts, machine learning algorithms, and model deployment. Experience with data visualization tools and creating dashboards. Ability to effectively communicate complex results to non-technical stakeholders. Innovative Culture: At FinBox, we love disruption and creativity. Here, you can take ownership and contribute ideas that directly impact our product and the industry. Global Impact: Work on high-impact projects with global customers, improving access to credit for millions. Career Growth: FinBox offers a fast-paced, dynamic environment where you can rapidly grow your career. Collaboration & Diversity: Join a team of talented, passionate people who value collaboration and diverse perspectives. If you re ready to make a real difference in fintech and enjoy solving complex problems with data science, apply now to be part of the FinBox team!

Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 3-6 Years About FinBox: Where Fintech Meets Fun! Welcome to FinBox, where technology, innovation, and creativity meet to revolutionize financial services. Since our inception in 2017, we've been on a mission to transform the lending industry by helping lenders like Banks, NBFCs, and enterprises launch credit products faster than ever before. As a Series A funded company, we are growing rapidly with offices in India, Vietnam, Indonesia, and the Philippines. Our vision is to build world-class infrastructure for lending products that help banks and financial services companies scale globally. We've already helped customers disburse billions of dollars in both unsecured and secured credit, and our solutions are used by over 100 companies, impacting over 5 million customers monthly. Innovative Environment: We encourage creativity and experimentation, pushing the boundaries of what's possible in fintech. Impactful Work: Your contributions will directly impact the lives of millions, making credit more accessible. Growth Opportunities: As a growing Series A startup, we offer ample opportunities for professional development. Collaborative Culture: Join a diverse and supportive team that values different perspectives. Creative Thinkers: We love people who challenge the norm and bring fresh, out-of-the-box ideas. Customer Heroes: We need those who understand customer needs and go above and beyond to deliver exceptional experiences. Team Players: If you thrive in a collaborative environment and believe in the power of "we," you'll fit right in. How You'll Contribute to Our Data Science Team: Analyze structured and unstructured data to derive meaningful insights. Support predictive model development and statistical analyses to guide product decisions. Build dashboards and visualizations to monitor and report key business metrics. Assist in data gathering, pre-processing, and cleaning to maintain high-quality datasets. Conduct exploratory data analysis and hypothesis testing to enable data-driven decision-making. Automate reports and develop clear, effective data visualizations. Document data processes and findings in a structured, presentable format. Collaborate with cross-functional teams to translate business needs into actionable data-driven solutions. Apply foundational machine learning techniques, including regression analysis, clustering, and decision trees. Who You Are: Experience: 3+ years in data science, analytics, or a related field. Technical Skills: Strong proficiency in Python/R, SQL, and Excel for data manipulation and analysis. Visualization: Experience with tools like Tableau, Power BI, or similar for data visualization. Additional Skills: Familiarity with AWS, Git, and version control practices is a plus. Knowledge: Understanding of statistical concepts and basic machine learning models. Mindset: Eagerness to learn, experiment, and grow in a fast-paced, dynamic startup environment.

Job Description Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities Ability to build software products to help scale a secure software factory. Qualifications Careers Privacy Statement Keysight is an Equal Opportunity Employer. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Proven experience as a Software Architect or similar role, with a focus on security and third-party component management. Strong understanding of software architecture principles, design patterns, and best practices. Experience with artifact scanning, SBOM, and vulnerability management tools. Excellent problem-solving skills and the ability to think strategically. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. Knowledge of open-source software and third-party component licensing is a plus. Qualification : Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

Job Title: Associate Data Scientist - Social Media Analytics About this Role: Join Gartner s Social Media Analytics team, where you will help generate actionable insights from social media and internal/external Gartner data. This role is perfect for someone passionate about learning new technologies, text analytics, and working with unstructured data. As an Associate Data Scientist, you'll analyze data, draw recommendations, and visualize insights for research, using NLP, Machine Learning, and Deep Learning techniques. You will work closely with stakeholders to optimize data mining and improve the accuracy of insights generated. What You ll Do: Execute High-Impact Data Science Projects: Translate research objectives into actionable data and facts using social media and Gartner's internal/external data. Ad-hoc Modeling and Analytical Insights: Provide modeling and analytical insights to inform strategic and operational initiatives. Analyze Unstructured Data: Use advanced data science techniques to analyze unstructured text data, identifying insights and patterns. Interpret and Apply Findings: Align findings with business objectives and translate them into actionable business insights. Solve Business Challenges: Leverage Data Science, ML, and NLP to address pressing business challenges. Stakeholder Interaction: Collaborate with internal and external stakeholders to refine and improve findings. Data Science Driven Initiatives: Drive initiatives with some guidance while building strong domain expertise. Multi-tasking & Agility: Handle different projects in a fast-paced environment with strict SLAs and tight turnaround times. What You ll Need: Education: A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science. Experience: 1-3 years of hands-on AI/ML experience, especially in Text Mining, NLP, and text analytics. Technical Skills: Expertise in Python (Pandas, Numpy, scikit-learn), SQL, TensorFlow, and other data science tools. Familiarity with AWS/Azure environments for training, testing, or deploying models. Machine Learning & NLP Knowledge: Ability to train, fine-tune, or apply ML, Deep Learning, LLMs, and NLP models. In-depth knowledge of NLP concepts and application experience. Data Preparation Skills: Expertise in data cleaning, normalization, and preparation for model training or inference. Analytical Mindset: Strong ability to identify patterns in unstructured datasets and provide actionable insights. Communication Skills: Strong written and verbal communication with the ability to structure clear, concise, and meaningful communication. Critical Thinking & Problem-Solving: Strong analytical skills and the ability to think independently to solve complex problems. Eagerness to Learn: A passion for learning about new technologies in the IT industry, Data Science, and Machine Learning. Research Techniques Understanding: Robust understanding of primary and secondary research methods. What We Offer: Flexible Hybrid Work Environment: Flexibility to work virtually when productive and meet colleagues in person for engaging, purposeful collaboration. Professional Growth: Gartner offers world-class benefits, competitive compensation, and tremendous rewards for top performers. Inclusive Work Culture: Diverse teams from various backgrounds and an environment that values collaboration and team success. Recognition as a Top Workplace: Gartner is consistently recognized as a great place to work worldwide. Join Gartner and contribute to world-class insights while developing cutting-edge technologies in the data science domain. We offer opportunities to grow, thrive, and make an impact! Qualification : A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science.

Company Overview: American Express is committed to providing the world s best customer experience every day. The Global Servicing Group (GSG) is central to fulfilling this mission, with over 36,000 team members working across various lines of business, including Customer Engagement, Merchant Services, Credit & Fraud. Within this structure, the Global Capacity & Contact Management (GCCM) team works towards optimizing resources and maintaining consistent customer service levels globally. Role Overview: The Planning & Data Intelligence (PDI) team within GCCM plays a pivotal role in supporting global reporting and analytics. This role involves automating, standardizing, and enhancing the reporting ecosystem to enable better decision-making through data-driven insights. The role will also involve creating a more efficient process for managing large and multiple data sets and collaborating with business partners to drive the future of reporting within the organization. Key Responsibilities: Define Data Architecture Strategy: Contribute to the development of the data architecture strategy and roadmap to enhance the PDI data ecosystem. Automation & Standardization: Analyze the current reporting structure within GCCM and work towards automating and scaling it through self-service functionalities, especially using Tableau. Reporting Innovation: Collaborate with internal partners to create new reporting dashboards within Tableau and other platforms, ensuring better self-service and efficiency. Analytics & Problem-Solving: Leverage your strong analytical skills to solve both practical and theoretical business challenges, applying machine learning, data mining, and statistical analysis techniques. KPIs & Performance Metrics: Develop and manage key performance indicators (KPIs) to promote efficiency, drive awareness, and improve reporting systems across teams. Reporting to Leadership: Provide on-demand reporting and insights to senior leadership, helping them make informed decisions. Dashboard Development & Adoption: Coordinate the development and testing of new dashboards, ensuring data validation and documentation. Assist in training teams to adopt these tools effectively. Innovation & External Research: Continuously seek new ideas and innovations from external sources to bring best practices into the team s work. Required Qualifications: Educational Background: Bachelor's degree or equivalent combination of education and work experience. Technical Expertise: Expert knowledge in VBA, SQL, Cornerstone, Hive, and Python. Familiarity with workforce management KPIs and Tableau for report building is a plus. Data Analysis & Manipulation: Experience using SAS, Big Data analytics, and statistical software for data analysis and manipulation. Problem-Solving & Analytical Skills: Strong ability to perform deep dive analyses of business metrics, providing actionable solutions and recommendations. Call Center Management Expertise: In-depth understanding of call center principles and how they impact operations. Adaptability & Communication: Ability to work in a fast-paced environment with changing demands, managing multiple tasks effectively. Exceptional written and verbal communication skills in English. Collaboration Skills: Strong interpersonal skills to collaborate and influence across different organizational levels and teams. Benefits & Perks: Competitive Compensation: Base salary with bonus incentives. Health & Wellness Support: Comprehensive medical, dental, vision, life insurance, and disability benefits (dependent on location). Flexible Working Arrangements: Hybrid, onsite, or virtual options depending on role and business needs. Paid Parental Leave: Generous paid parental leave policies (dependent on location). Wellness & Support Programs: Access to global wellness centers and confidential counseling support through the Healthy Minds program. Career Growth Opportunities: Continuous career development and training opportunities. Equal Opportunity Employer: American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Qualification : Bachelor's degree or equivalent combination of education and work experience.

To fulfil this mission, the Marketing Science team at Meta is actively seeking a full-time, experienced Marketing Science Partner. A Marketing Science Partner at Meta works with internal and external clients in an industry vertical such as Automotive, E-commerce, Entertainment, CPG, Fin-Serv, Tech etc. on an ongoing basis to adopt better measurement as a way to improve business outcomes. To accomplish this, the person in this role will work both reactively and proactively with clients, using Meta s industry leading data science tools and data sets. Driving good measurement with advertisers will require designing tests (conversion lift, brand lift, attribution etc.) and doing research to help clients understand and improve the effectiveness of their advertising across digital platforms and across media. This work will require direct engagement with clients, with media agencies as well as using our third party scaling solutions to help with the set up and running of studies. Conclusions from this work will showcase what good measurement is and how clients can act upon it to drive business impact. The Marketing Science Partner will also focus on customizing existing capabilities or in some cases piloting new, scalable capabilities in partnership with Product, R&D, and Partnerships. Meta is seeking exceptional candidates to join the Marketing Science team with proven analytical and critical thinking skills as well as familiarity with large data sets, Marketing research and data manipulation tools. To successfully influence how advertisers conduct and use measurement, the candidate should be able to work cross-functionally with internal teams and partner closely with the Sales team. Marketing Science Partner, India Responsibilities Engage with clients and agencies to share research-based best practices and measure true business value by building and operationalizing learning agendas . The best practices and learning agendas will highlights how a client can improve business outcomes Work with advertising and industry bodies to create best in class measurement solutions Partner closely with sales to manage a set of accounts and prioritize which clients will get servicing from the team Support client engagement with third party vendors responsible for setting up and conducting measurement studies Drive client, vertical, and industry adoption of preferred measurement methodologies, best practices, products, and approaches in support of the learning agenda Design tests to showcase the power of good measurement using client data and Facebook or third-party technology tools Conduct in-depth standard and custom ad effectiveness studies for Facebook advertisers to understand the relative impact of different marketing strategies across digital platforms and across media Communicate complex research results to a general audience Offer selective consultation with clients & agencies on business hypothesis to test, measurement design & feasibility or insights interpretation Operate internal & external education & training workshops to raise awareness & advocacy of Measurement solutions & analytical best practices (auction, use of lift tools ) Minimum Qualifications Bachelor s degree in Business, Statistics, Data Science, Economics, Mathematics, Computer Science, Engineering, Sociology or similar Direct experience independently scoping and executing research projects with clients and or cross-functional stakeholders Experience analyzing and manipulating data sets to understand patterns and provide insights Experience leading at an industry level and with clients Ability to communicate technical content to general audience. Client-facing experience (internal or external), including ability to drive meetings or change through adoption of new products or research methods. Experience with digital advertising measurement methods and technologies Proven excellence in working with structured and unstructured data-sets, statistical software such as R as well as data extraction tools such as Hive, python and/or SQL is a must Experience with field experiments, experimental design, survey sampling, and/or panel data Preferred Qualifications Advanced degree in a quantitative field or an MBA About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity and Affirmative Action Qualification : Bachelors degree in Business, Statistics, Data Science, Economics, Mathematics, Computer Science, Engineering, Sociology or similar

Job Title: Solution Engineer Connectivity Platform Location: Gurgaon Job Family: Research and Development Employment Type: Full-Time Category: Engineering & Technical About CNH Industrial Innovation. Sustainability. Productivity. CNH Industrial leads the way in advancing the vital work of farmers and builders worldwide. Our innovative products, from alternative power sources to precision technology, support feeding and sheltering a growing global population. Join a global, collaborative team dedicated to driving customer success through innovation. Job Purpose The Solution Engineer will provide technical leadership and people management to lead product development for the Connectivity platform, supporting IoT platforms such as Azure IoT Hub and ThingWorx. This role involves coordination across internal teams, program managers, and external partners to deliver scalable, secure engineering solutions that meet organizational goals. Key Responsibilities Develop a strategic technical vision and roadmap aligned with market needs and stakeholder objectives. Lead design and management of scalable, secure technical solutions aligned with business strategy. Align product architecture with vision and goals; evaluate technology options and lead decision-making. Collaborate with development teams to deliver features on schedule, adhering to CNHI standards and policies. Provide detailed technical specs and time/effort estimates; ensure non-functional requirements (performance, security) are met. Monitor development progress and communicate status updates to stakeholders. Identify and resolve project constraints, risks, and technical challenges. Facilitate cross-functional collaboration through clear frameworks and coordination. Architect and oversee integration of IoT platforms (Azure IoT Hub, ThingWorx) with enterprise systems. Guide development of secure, real-time, data-intensive IoT applications focusing on telemetry, edge computing, and data streaming. Experience Required 12+ years of industry experience, including 3+ years in a Solution/Enterprise Architect role. Strong foundation in software architecture and engineering principles (OOP, RESTful APIs, Design Patterns). Skilled in business analysis, stakeholder collaboration, and strategic technology planning. Expertise in security, encryption, API design, integration patterns, data architecture, messaging systems, and async programming. Experience developing RESTful APIs using OpenAPI specifications. Proven experience with Microservices architecture, Docker, and Kubernetes. Hands-on experience with Microsoft Azure cloud services and PaaS components. Performance tuning and application optimization skills. Expertise in IoT integration including device provisioning, edge connectivity, data ingestion, and telemetry. Technical Skills Languages & Frameworks: C#, ASP.NET Core, LINQ, JavaScript, HTML5, Angular, Java Authentication & Security: Azure AD, OAuth 2.0 (JWT), SSL/TLS Databases: SQL Server, PostgreSQL, Cosmos DB Caching: Azure Redis Cache Cloud & DevOps: Microsoft Azure (AKS, Blob Storage, Key Vault, APIM, Event Hub, Service Bus, Functions), Azure DevOps, Terraform, Git, GitLab Monitoring: Application Insights, Datadog, ELK Stack IoT Platforms: Azure IoT Hub, ThingWorx Messaging & Streaming: MQTT, Azure Event Hub, Service Bus Topics Testing & Automation: NUnit, xUnit, K6, PowerShell, Python Preferred Qualifications Bachelor s or Master s degree in Computer Science, Computer Engineering, or a related field. Dynamic international career opportunities. Inclusive culture committed to respect and equality. Flexible work arrangements. Comprehensive savings and retirement benefits. Tuition reimbursement. Parental leave, adoption assistance, fertility, and family-building support. Employee Assistance Programs. Charitable contribution matching and Volunteer Time Off. Grow your career with CNH Industrial where your skills drive innovation and build the future. Qualification : Bachelors or Masters degree in Computer Science, Computer Engineering, or a related field

Position: PHP Developer Location: Gurgaon Experience: 3 4 years Employment Type: Full-Time Industry: IT / Software Development Job Overview: We are seeking a skilled PHP Developer with 3 4 years of hands-on experience to join our growing technology team. The ideal candidate will be responsible for building efficient, testable, and reusable PHP modules, ensuring high performance and responsiveness of web applications. This role involves working closely with other developers and teams to deliver robust and scalable web solutions. Key Responsibilities: Understand and interpret project requirements clearly. Collaborate with team members to manage project milestones and timelines. Develop, test, and maintain code for web applications using Core PHP. Work with front-end developers to integrate user-facing elements using HTML/CSS. Implement test-driven development practices to ensure code quality. Communicate effectively on progress, challenges, timelines, and deliverables. Key Skills & Technical Proficiencies: Strong development experience in Core PHP. Familiarity with CMS platforms like WordPress and Blogger. Experience working with HTML5, CSS, and responsive web design. Sound understanding of OOP (Object-Oriented Programming) and web application development principles. Exposure to Laravel or any modern PHP frameworks is highly preferred. Good debugging and troubleshooting skills. Qualifications: Bachelor s or Master s degree in Computer Science, IT, or related field (BCA, BSc, MCA, B.Tech/B.E.). 3 to 4 years of relevant experience in PHP development. What We Offer: A collaborative and tech-driven work environment. Opportunities for learning and growth in modern PHP frameworks and CMS development. Flexible and performance-oriented work culture. Qualification : Bachelors or Masters degree in Computer Science, IT, or related field (BCA, BSc, MCA, B.Tech/B.E.)

Position: Digital Ad Sales Location: Gurgaon Experience: 1 7 years Industry: Digital Media / AdTech / SaaS Employment Type: Full-Time Role Overview: We are looking for a dynamic and driven professional to join our Digital Ad Sales team. The ideal candidate will have experience in publisher acquisition, digital media monetization, or SaaS sales, with a strong understanding of digital ad products and monetization platforms. You'll be responsible for growing our publisher base globally, supporting monetization efforts, and playing a key role in shaping our product offerings. Key Responsibilities: Identify, onboard, and build strong relationships with digital publishers and content owners globally. Pitch ad monetization and optimization services to publishers, creating a strong and sustainable sales funnel. Work closely with internal product teams to contribute to product discussions and feature development based on publisher feedback. Develop and deliver high-impact sales presentations and pitches tailored to different markets. Manage international client relationships, with flexibility to accommodate different time zones. Keep abreast of the latest trends in the digital advertising ecosystem and emerging ad technologies. Must-Have Skills & Experience: Working knowledge of Google monetization products, including AdSense, AdX, and Google Ad Manager. Strong understanding of digital advertising ecosystems especially either demand-side or supply-side operations. At least 2 years of experience in roles such as digital ad sales, publisher acquisition, or SaaS sales. Proficiency in crafting sales pitches, client proposals, and PowerPoint presentations. Excellent communication and interpersonal skills. Preferred Qualifications: B.Tech in Computer Science or a relevant field is preferred. Experience working with international clients and managing accounts across geographies. A passion for digital technology and the evolving advertising landscape. What We Offer: Opportunity to work with global publishers and cutting-edge ad technology. Fast-paced, collaborative, and high-growth work environment. Exposure to product development and international business operations. Qualification : B.Tech in Computer Science or a relevant field is preferred

Position: Junior Configuration Engineer Location: Gurgaon Department: IT / Infrastructure Employment Type: Full-Time Company: GSPANN Technologies Job Description: GSPANN is seeking a detail-oriented Junior Configuration Engineer to support system configurations, software deployments, and cloud monitoring. The ideal candidate will work closely with IT teams to ensure infrastructure reliability, security, and efficient configuration management using SCCM, Azure, and Windows Server technologies. Role and Responsibilities: Manage and maintain the System Center Configuration Manager (SCCM) console for software deployments, updates, and system configuration management. Monitor cloud resource performance and health utilizing Azure Monitor. Administer Windows Server environments with a focus on security, performance optimization, and availability. Support configuration management processes in alignment with organizational IT standards and policies. Diagnose, troubleshoot, and resolve system performance and configuration issues. Develop and maintain comprehensive documentation of configuration processes and operational procedures. Collaborate effectively with senior engineers and cross-functional IT teams to implement configuration changes. Skills and Experience: Bachelor s degree in Information Technology, Computer Science, or related discipline. 4-6 years of experience in configuration management or similar technical roles. Microsoft Certified: Azure Administrator Associate or equivalent certification is required. Experience with SCCM Console, Azure Monitor, and Windows Server environments. Familiarity with additional configuration management tools is a plus. Strong understanding of IT best practices and standards in enterprise environments. Excellent problem-solving, analytical, and communication skills. Ability to thrive in a fast-paced, dynamic work environment. Qualification : Bachelors degree in Information Technology, Computer Science, or related discipline.

Position: Infrastructure Engineer - SQL, Oracle, Sybase Location: Gurgaon Department: IT / Infrastructure Employment Type: Full-Time Company: GSPANN Technologies Job Description: GSPANN is looking for a skilled Infrastructure Engineer with deep expertise in SQL, Oracle, and Sybase databases. The successful candidate will design, optimize, and maintain enterprise database environments ensuring high performance, robust security, and data integrity. Role and Responsibilities: Design, implement, and manage enterprise databases using MySQL, Oracle Database, and Sybase platforms. Optimize database performance by employing techniques such as indexing, partitioning, and query optimization. Troubleshoot and resolve query-related and performance issues to maintain smooth database operations. Implement database backup, recovery, and disaster recovery processes to safeguard data. Develop and maintain database security policies, managing user roles, permissions, and access controls. Collaborate with development teams to understand database requirements and deliver efficient solutions. Document database architectures, configurations, operational procedures, and technical protocols. Monitor database performance and scalability to ensure reliability and efficiency. Evaluate emerging database technologies and incorporate updates as needed. Provide guidance on process accountability, data monitoring, and exception handling to improve data quality. Work with cross-functional teams to optimize business processes through automation and simplification. Utilize data conversion tools and techniques to assist with data migration and transformation initiatives. Skills and Experience: Bachelor s or Master s degree in Computer Science, Information Technology, or a related discipline. Relevant certifications in Oracle, MySQL, or Sybase are preferred. 6 to 8 years of experience in infrastructure engineering with hands-on expertise in MySQL, Oracle, and Sybase databases. Strong SQL programming skills and deep understanding of database management system principles. Proven experience in query debugging, performance tuning, and troubleshooting. Excellent analytical, problem-solving, and communication skills. Familiarity with data migration and transformation processes and tools. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related discipline.

Job Title: Agri Research Intern (Fresher) Location: Gurugram, Haryana, India Department: Procurement Job Type: Full-Time | On-Site About FarMart FarMart is reimagining the food supply chain by building a modern, digital-first platform that connects farmers, food businesses, and consumers. Our scalable sourcing solutions, asset-light processing, and tech-enabled distribution channels aim to make food systems more resilient, transparent, and efficient. Backed by top-tier investors like General Catalyst, Matrix Partners, and Omidyar Network, FarMart has impacted 3.2 million+ farmers and 2,000+ food businesses globally. Position Overview We are seeking a motivated Agri Research Intern to join our team and support agri-commodity research initiatives. This is a fantastic opportunity for freshers to gain real-world exposure to agriculture markets, commodity analysis, and data-driven decision-making within a high-growth agri-tech company. Key Responsibilities Market Research Conduct research on crops, livestock, and agri-products. Analyze supply-demand trends, price movements, and trade patterns. Gather data from surveys, industry reports, and online databases. Data Analysis & Reporting Build and maintain commodity market databases. Prepare insightful research reports and presentations. Offer actionable recommendations to support strategic decisions. Industry Monitoring Stay updated on agricultural policies, innovations, and market shifts. Track competitor activities and global market dynamics. Cross-Functional Collaboration Work with marketing, trading, and finance teams to meet internal research needs. Assist in planning market entry and expansion strategies. Documentation & Communication Document methodologies and findings with clarity. Present research outcomes effectively to internal teams and management. Qualifications Bachelor s degree in Agriculture, Economics, Statistics, Business, or a related field (Master s degree is a plus). Strong analytical and research skills. Proficiency in Excel, and exposure to tools like SPSS or Tableau is a plus. Excellent communication and organizational skills. Knowledge or keen interest in agricultural markets and commodity trading. Key Competencies Analytical Thinking Interpret data to make informed recommendations. Research Proficiency Strong attention to data accuracy and sourcing. Communication Skills Present findings clearly and effectively. Adaptability Comfortable with dynamic market environments. A flat, transparent culture and a dynamic, informal workspace. Steep learning curve with high-impact work from day one. Opportunities to innovate and take ownership of your projects. Collaborative work with industry-leading professionals and teams. Be part of an agri-tech revolution transforming India's food system. Apply now and be part of FarMart s mission to revolutionize food value chains! Qualification : Bachelors degree in Agriculture, Economics, Statistics, Business, or a related field (Masters degree is a plus).

About Shiprocket: At Shiprocket, we are on a mission to simplify and elevate the e-commerce experience. We provide e-commerce sellers with AI-powered technology and reliable services, covering everything from conversion and order fulfillment to shipping, customer communication, and returns management. Our platform scales data, workflows, and supply chains to equip sellers with the tools they need to deliver exceptional customer experiences. What It s Like to Work at Shiprocket: At Shiprocket, we embrace the following success traits that shape our culture and drive us toward achieving great things: Innovation Within Constraints: Embrace constraints and use them as a foundation for innovation. Speed is Key: Make swift decisions and take action based on their potential impact. Ruthless Frugality: Be frugal, as it leads to growth and efficiency. Direct Communication: Be transparent and honest in all interactions. Sports Team Mentality: We re not a family, we re here to win as a team. Customer Obsession: Always prioritize the customer and their experience. Role Overview: We re seeking a highly analytical and data-driven Central Analytics Lead to drive data-informed decision-making across Shiprocket. In this role, you ll play a critical part in building and scaling our central analytics function. You will help identify key business opportunities, provide actionable insights, and enable data-driven strategies across all departments. Key Responsibilities: Develop & Implement Analysis Frameworks: Design and implement robust data analysis methodologies and frameworks to enhance decision-making. Dashboard & Reporting: Build and maintain data dashboards and reports to monitor performance and track key business metrics. In-depth Data Analysis: Conduct detailed analysis to identify trends, uncover insights, and inform strategic decisions that drive business growth. Stakeholder Presentations: Develop data-driven presentations to communicate insights and recommendations to stakeholders across the organization. Cross-Functional Collaboration: Work closely with teams across product, marketing, sales, and operations to understand their data needs and provide actionable insights. Team Development: Build and mentor a high-performing team of analysts (future expectation). Identify Opportunities for Innovation: Identify areas for process improvement and data-driven innovation to enhance business strategies. Ensure Data Integrity: Maintain data quality and integrity across all systems and platforms. Stay Ahead of Trends: Keep up-to-date with the latest advancements in data analytics and visualization tools. Preferred Skills & Qualifications: Experience: 4+ years in an analytics role, ideally in a fast-paced, high-growth startup environment. SQL & Data Warehousing: Exceptional SQL skills with experience in data warehousing and ETL processes. Data Visualization: Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker). Communication Skills: Excellent presentation, communication, and storytelling abilities to translate complex data into actionable insights. Analytical & Problem-Solving Skills: Strong critical thinking and independent problem-solving skills to tackle complex data challenges. Growth Mindset: Eagerness to learn and adapt to new challenges and technologies. Educational Background: Bachelor s degree in Statistics, Mathematics, Economics, Computer Science, or a related field. Bonus Points: Data Infrastructure: Experience in building and scaling data infrastructure and systems. Machine Learning: Experience with machine learning and predictive modeling techniques. Qualification : Bachelors degree in Statistics, Mathematics, Economics, Computer Science, or a related field.

Position: Junior Technical Product Strategist - Cash Management Group About the Role: BlackRock is one of the world s leading asset management firms, offering a wide range of investment management, risk management, and advisory services. The Cash Management Group, part of the Global Cash Management team, manages Prime and Government Money Market and Ultra-Short Duration Mutual Funds and Separate Accounts, focusing on capital preservation, liquidity, and yield. The team uses a risk-controlled framework to deliver investment returns based on credit, interest rate trends, and relative value opportunities. Business Unit Overview: The Cachematrix Technical Product Strategy team is part of the Global Cash Management group and works with the Cachematrix Liquidity Management platform, a SaaS-based product that powers custom trading solutions for leading financial institutions worldwide. This platform provides seamless integration with core cash management systems or operates as a stand-alone system. Your Responsibilities: Analysis and Solution Definition: Collaborate with stakeholders to gather and document business requirements. Create and maintain Business Requirement Documents (BRDs), Functional Requirement Documents (FRDs), and Business Process Requirements (BPRs). Develop and execute test strategies for User Acceptance Testing (UAT) and provide feedback for improvements. Technical Recommendation and Testing: Identify, document, report, and track defects and issues. Manage issue reporting and triage, providing timely escalation as needed. Project Execution and Support: Offer business and platform support to ensure smooth platform operations. Oversee vendor data to maintain data integrity, verify accuracy, and ensure reconciliation. Set up and oversee client data extracts for seamless integrations. Build and maintain reports, including ad-hoc and automated reports, to support business needs. Communication: Deliver support and training demos to stakeholders and document operating models and handoff processes. Manage stakeholder communication between business and development teams. Preferred Experience: 1-3 years of experience as a Business Analyst or UAT Tester. Bachelor s degree in Business Administration, Information Technology, or a related field. Strong understanding of the software development lifecycle (SDLC) and testing methodologies. Excellent analytical and problem-solving skills. Familiarity with Agile & Scrum methodologies. Industry knowledge of financial services and processes. Experience with JIRA, Confluence, Miro, Visio, Aha or similar tools. Proficiency in SQL for querying and data analysis. Experience with data visualization and business intelligence tools such as Power BI, Tableau, Adobe Analytics, or similar platforms is preferred. Familiarity with programming languages like Python is a plus. Qualification : Bachelors degree in Business Administration, Information Technology, or a related field.

EHS Officer Project Sites Location: Gurugram, Haryana, India Employment Type: Full-Time, Fixed Term Contract About Siemens Energy Siemens Energy is dedicated to addressing global energy challenges by developing and delivering cutting-edge engineering technologies that improve lives and protect the climate. Join us to make a meaningful impact on society and advance human progress. Role Overview As an EHS Officer at Siemens Energy, you will provide expert guidance and actionable plans to management and employees on Environmental, Health, and Safety (EHS) strategies. You will play a key role in ensuring compliance, mitigating risks, and fostering a safe and sustainable work environment across assigned project sites. Key Responsibilities Provide competent EHS advice and develop action plans to support management in implementing EHS strategies, procedures, guidelines, and goals. Conduct regular site visits to identify, review, and mitigate environmental and health risks, ensuring practical and safe solutions for high-risk activities. Monitor, measure, and report EHS issues transparently and accurately. Assist in preparing and reviewing risk assessments and Job Safety Analyses (JSA), ensuring timely mitigation actions. Ensure all accidents, incidents, and near misses are reported, investigated, and corrective/preventive actions are implemented according to legal and company procedures. Maintain and update all EHS records including policies, risk assessments, safety data sheets, training, and drill documentation. Facilitate EHS training and competency development programs for employees, contractors, and temporary staff. Address employee complaints related to health, safety, or welfare through proper channels and escalate as necessary. Stay current on legal EHS requirements, workplace hazards, and company policies to ensure compliance and risk management. Promote employee involvement in EHS initiatives and promptly address any breaches or complaints. Ensure availability and proper use of Personal Protective Equipment (PPE) based on risk assessments. Qualifications & Experience Degree or recognized Diploma in Engineering or Science. Degree or Diploma in Occupational Health and Hygiene from a recognized institute (e.g., ADIS, RLI/CLI, IIT, NITIE, NICMAR). Preferred: Degree/Diploma in Industrial Safety or Environmental Management recognized by State Technical Boards. NEBOSH International General Certificate (IGC) Mandatory. Certified Lead Auditor Preferred. 7 10 years of relevant experience in EHS roles, preferably in construction, power plants, manufacturing, engineering, or project management. Strong experience in on-the-job coaching and EHS compliance. Excellent communication skills in English (spoken and written). Experience or interest in sustainable development is desirable. Qualification : Degree or Diploma in Occupational Health and Hygiene from a recognized institute (e.g., ADIS, RLI/CLI, IIT, NITIE, NICMAR).

Prompt Engineer (Software Engineer) Analyst Location: Gurgaon, India (On-site) Function: Content Engineering Experience: 0-1 years About GlobalLogic GlobalLogic, a Hitachi Group Company, is a leading digital engineering partner to some of the world s largest and most innovative companies. Since 2000, we have driven the digital revolution, creating cutting-edge digital products and experiences that transform businesses and industries globally. At GlobalLogic, we prioritize a culture of caring, continuous learning, and balance, fostering an environment where creativity and innovation thrive. Role Overview As a Prompt Engineer, you will focus on designing, developing, and optimizing prompts for natural language understanding systems, especially conversational AI and chatbots. This role requires a strong foundation in Python, data science, and natural language processing, combined with hands-on experience in prompt engineering, deep learning models, and relevant AI frameworks. Key Responsibilities Design and develop effective prompts for conversational AI and NLU systems. Collaborate with engineers and data scientists to integrate and refine prompts. Analyze user behavior and model outputs to enhance prompt quality and response accuracy. Optimize algorithms to improve prompt generation efficiency and effectiveness. Continuously update knowledge on NLP advancements and apply innovative techniques. Test and evaluate prompts for quality, relevance, and user experience improvement. Work cross-functionally to ensure seamless integration of prompts into products. Identify and resolve prompt-related challenges to boost conversational AI performance. Qualifications Bachelor s degree in Artificial Intelligence, Machine Learning, or related field (B.Tech freshers welcome). Strong programming skills in Python and experience with databases and data science methodologies. Proven knowledge of NLP, prompt engineering, and conversational AI or chatbot systems. Familiarity with deep learning concepts including transformers, GANs, VAEs, and large language models (LLMs). Proficiency with AI frameworks such as TensorFlow, PyTorch, and spaCy. Ready to work on-site with rotational shifts (5 working days, 2 weekly offs). Immediate joining preferred. Inclusive, caring culture fostering acceptance and collaboration. Robust learning and development opportunities to accelerate your career growth. Meaningful work on innovative projects shaping the future of AI and digital experiences. Work-life balance with flexible arrangements and supportive policies. A high-trust, ethical organization valuing integrity and transparency. Qualification : Bachelors degree in Artificial Intelligence, Machine Learning, or related field

Job Summary: Senior Application Specialist Location: Gurgaon, India Grade Level: 10 Department: Operations Group Company: S&P Global Market Intelligence Overview: As a Senior Application Specialist, you will play a pivotal role in delivering expert-level application support for thinkFolio, S&P Global s portfolio management software. You will be the primary liaison for troubleshooting and resolving client issues, maintaining service excellence, and contributing to documentation and process improvements. This role offers extensive cross-functional collaboration and interaction with global clients in the banking, asset management, and hedge fund industries. Key Responsibilities: Serve as a product expert for thinkFolio, offering technical and functional support to clients. Troubleshoot and resolve complex client issues efficiently, escalating when necessary. Manage incoming support requests, ensuring SLAs are met while maintaining clear communication. Document client issues, resolutions, and communication using internal support systems. Collaborate with global teams across business lines and senior management for knowledge sharing and resolution tracking. Contribute to the creation and maintenance of user manuals, troubleshooting guides, and knowledge base content. What You Bring: Education: Bachelor s degree in Computer Science, Information Technology, or related field. Experience: 5+ years in enterprise software support; experience in financial services or investment systems is preferred. Technical Skills: Proficiency in SQL, scripting languages, and data analysis tools. Soft Skills: Strong analytical, problem-solving, and communication skills. Ability to multitask and prioritize under pressure. Mindset: Customer-first attitude with an aptitude for learning new financial technologies and sharing knowledge. What s In It for You: Accelerated growth through exposure to enterprise software used by global financial institutions. Cross-regional collaboration and learning opportunities in a high-impact environment. Access to continuous learning, competitive compensation, wellness programs, and family-friendly benefits. The chance to be part of a global, inclusive organization driven by Integrity, Discovery, and Partnership. About S&P Global Market Intelligence: A division of S&P Global, we provide essential data, insights, and technology that enable clients to make confident decisions. We empower businesses to track markets, manage risk, and identify opportunities in a fast-changing global environment. Qualification : Bachelors degree in Computer Science, Information Technology, or related field.

Job Summary: Associate, Technical Application Support Location: Gurgaon, India Department: Operations Group Division: S&P Global Market Intelligence Role Overview: As an Associate in Technical Application Support, you will be a key technical consultant supporting S&P Global s Channels Data Delivery solutions. You will work closely with global product specialists, sales teams, and external customers to deliver high-quality technical assistance around product deployment, configuration, performance tuning, and troubleshooting. Your expertise will bridge customer environments and our data delivery products, ensuring smooth integration into mission-critical workflows. Key Responsibilities: Provide deep technical support for Channels Data Delivery products, including Xpressfeed Loader deployment and configuration. Assist with sizing, deployment, troubleshooting, and performance tuning in client environments. Partner with pre- and post-sales teams to support client needs and opportunities. Drive innovation by proposing automation and efficiency improvements in support processes. Monitor evolving product features, participate in strategy discussions, and contribute to product testing. Act as the voice of the customer by relaying feedback for product enhancements. Support client implementations, upgrades, migrations, and ongoing technical operations. Who You Are: Education: Degree in Computer Science, Information Systems, or equivalent experience. Experience & Skills: Strong troubleshooting and problem-solving skills with attention to detail. Hands-on experience with software deployments, Windows/Linux OS, and SQL querying. Familiarity with cloud environments (AWS, Azure, or Google Cloud), especially AWS EC2 and RDS/Aurora. Comfortable leading client-facing technical discussions. Preferred: Knowledge of finance, capital markets, and database administration (SQL Server, Oracle, PostgreSQL). Experience with FTP, proxies, network and security protocols, and data integration techniques. Familiarity with Agile/SCRUM and product development lifecycle. What You ll Gain: A dynamic role interacting directly with clients and global teams on enterprise-level financial data products. Exposure to the evolving landscape of financial markets and technology-driven data solutions. Opportunities for career growth through continuous learning, skill development, and cross-functional collaboration. Access to competitive benefits supporting your health, well-being, and financial future. About S&P Global Market Intelligence: S&P Global Market Intelligence provides trusted data, insights, and technology solutions that empower customers to make informed business decisions. Our team is dedicated to excellence, integrity, and innovation in delivering essential intelligence to global markets. Qualification : Degree in Computer Science, Information Systems, or equivalent experience.