889 Dataset Jobs - Page 7

Job Overview Develop statistical methods sections of protocols and review case report forms (CRFs). Prepare analysis plans and write specifications for analysis files, tables, and figures. Communicate with clients regarding study protocol or statistical analysis issues as they arise. Communicate with study team members regarding study execution as it relates to timelines, data quality, and interpretation of results. Interpret analyses and write statistical sections of study reports. Accountable for controlling costs and maximizing revenue recognition. Provide training, guidance and mentorship to lower level and new staff. Essential Functions Production of High-Quality Deliverables: Completes and reviews more complex assigned tasks with a focus on accuracy. Conducts all appropriate validation requirements, according to Standard Operating Procedures (SOPs), for each task undertaken. Checks programming logs for cleanliness and correct processing of data. Inputs into Data Issues log and follows issues to appropriate resolution. Leadership: Perform statistical team lead role on single studies. Through this, works closely with the Project Team Lead and supervisor to deliver on time, with high quality and within budget. Build and maintain effective customer relationships, driving statistical discussions, providing support and/or guidance for statistical activities. Demonstrates and promotes efficient communication. If in lead role, runs meetings, documenting where necessary and following up on actions. Actively participates in internal project team meetings, provides timely progress updates. As a lead, will have input on estimate at completion (EAC) reporting. Data Management: Assist in reviewing or advising data management staff on database design, validation checks and critical data. Handles data issue resolutions. If in lead biostatistical role, handles lock and unblinding process with appropriate supervision. Statistical Analysis Plan (SAP) and Shells: Authors or performs quality control review (QC) of SAPs and shells. Make best use of resources and expertise within the organization (e.g. Libraries, templates and consultants for complex statistical methods). May author or QC complex SAPs, under supervision if needed. Datasets: Writes and maintains programming specifications. Programs assigned datasets to industry standards. Handles dataset derivations and assignment. Tables, Listings and Figures (TLFs): Writes programming specifications for statistical analyses outputs. Programs TLFs, maximizes programming efficiency with use of tools, where applicable. Checks resulting output for format and content, and questions specification as needed. Ensures consistency across items produced. Timelines: Plans and documents timelines, forecasts resource needs, suggests work may be out of scope. Financials: Shares accountability (with resource managers) for the financial success of assigned studies. Accountable for controlling costs and maximizing revenue recognition. Responsible for sharing budget expectations with the team. Raises concerns to manager if new work or rework appears to be out of scope. Understands 'scope of work' and has an awareness of contract and budget assumptions. Knowledge Sharing: Helps train staff regarding operational items. Mentors junior staff. Supports colleagues and provides motivation as needed. Risk Management: Identifies risks to project delivery and/or quality and spends time to proactively avoid as well as proposes solutions to mitigate risks. Where possible, anticipate risks to minimize need for study level escalations. Other Clinical Data Interchange Standards Consortium (CDISC) requirements: Leadership: Under supervision within Compound. May perform statistical team lead role on studies within a compound. In addition to the leadership responsibilities above, also prioritizes and takes proactive approach to gain efficiencies in work across protocols. Study Start up: Assist with protocol development, sample size calculation, protocol and case report form (CRF) review. Protocol: Authors or performs quality control (QC) review of the statistical section of a protocol (making best possible use of resources and expertise within the organization (e.g. Libraries, templates and consultants for complex statistical methods). Proposals: May be able to review and comment on proposals/budgets at a study level. May contribute to request for proposals (RFP). May be expected to present at bid defenses. Clinical Study Report (CSR): Reviews or drafts CSR or statistical report. Customer: On occasion, may serve as primary point of contact for customer. May also consult on operational topics with clients. Lock and Unblinding Process: Handles the database lock and unblinding process. May participate on the biostatistics randomization team (drafts randomization specifications and/or reduce or perform quality control (QC) review of randomization schedules). May serve as unblinded lead statistician. Other Responsibilities: As defined on ad-hoc basis by managers. May assist with cross functional collaboration. Qualifications Bachelor's Degree Biostatistics or related field and 3 - 5 years relevant experience Req Or Master's Degree Biostatistics or related field and 3-5 years relevant experience Req Or Ph.D. Biostatistics or related field and 6 year relevant experience Req Typically requires 7 years of prior relevant experience, or equivalent combination of education, training and experience. Requires advanced knowledge of job area, and broad knowledge of a other related job areas, typically obtained through advanced education combined with experience. Excellent written and oral communication skills including grammatical/technical writing skills. Excellent attention and accuracy with details. In-depth knowledge of applicable clinical research regulatory requirements, i.e., Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines. Familiarity with moderately complex statistical methods that apply to applicable clinical trials. Strong individual initiative. Strong organizing skills. Strong working knowledge of SAS computing package. Familiarity with other relevant statistical computing packages such as nQuery. Strong commitment to quality. Ability to effectively manage multiple tasks and projects. Ability to lead and co-ordinate small teams. Ability to solve moderately complex problems. Ability to establish and maintain effective working relationships with coworkers, managers and clients. Working knowledge of relevant Data Standards (such as Clinical Data Interchange Standards Consortium CDISC/ADaM). IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

The CoinDCX Journey: Building Tomorrow, today At CoinDCX, we believe ‘CHANGE STARTS TOGETHER’. You are the driving force that will help us make Web3 accessible to all. In the last six years, we have skyrocketed from being India’s first crypto unicorn to carrying a community of over 125 million with us. To continue maximising the adoption and acceleration of Web3, we are now focused on developing cutting-edge products, addressing accessibility and security challenges, and bridging the gap between people and Web3 technologies. While we go ahead and keep dominating the Web3 world, we would like to HODL you on our team! Join our team of passionate innovators who are breaking barriers and building the future of Web3. Together, we will make the complex simple, the inaccessible accessible, and the impossible possible. Boost your innovation to an ALL TIME HIGH with us! Inside CoinDCX’s Business Analytics Team Our Business Analytics team is an awesome group of collaborators, who love to solve first-of-its-kind problems with a lot of autonomy, creativity and fun. As a team, they fulfil the needs, wants and desires of our patrons by finding the key levers that enable them to use our platforms better. You help them do more. At CoinDCX you will not only be the skill of the future but also you will get to work and learn from the best while building the future of Web3. Coin your trust in us as we create magic together! This particular role is for the DeFi arm of CoinDCX i.e @Okto About Okto Okto, is a key player in the Web3 orchestration space, focusing on Chain Abstraction and powering the Okto Wallet and Lite SDK used by over 1 million users. The company is at the forefront of innovation in the blockchain industry, with a strong focus on user experience and technology advancement. You need to be a HODLer of these 4-5 years of experience as an Analyst or in a similar role with Outstanding analytical and problem-solving skills Excellent SQL skills and experience in at least one scripting language (Python or R) for data manipulation and automation Solid understanding of statistical methods and experiment designs Must have hands-on experience with product analytics and BI tools like MixPanel Amplitude, Google Analytics, Looker, and Tableau You will be mining through these tasks This is a full-time hybrid role for a Lead Business Analyst at Okto. The role involves overseeing business analysis activities, communication with stakeholders, analyzing and improving business processes, and gathering and documenting business requirements. Providing Analytical recommendations to influence our product, growth, marketing and strategy Design and evaluate product and growth experiments backed by solid hypotheses. Finding insights that influence decisions (product/features), spanning from early data explorations about user behaviour to multivariate experiments and optimisations Providing user insights through data: cohorts analysis, user segmentation, funnels and behavioural analyses in partnership with growth, product, engineering and UX You will be leading a team as well as contribute as an IC to some projects, and hence expected to have Strong technical skills, Strong Communication skills, experience in Business Process improvement, Mentorship and Project management experience. You will also be working on blockchain analytics that will open up a very different dataset for you. However, previous experience is not must, but open to learning and interest into web3 sector will play a pivotal role Are you the one? Our missing block You take ownership and have a thirst for excellence with an impact-driven and result-oriented mindset. You grow while helping others grow with you You thrive on change, have attention to detail, and passion for quality You love exploring new ideas to build something useful and are always curious to learn. Perks That Empower You Our benefits are designed to make a lasting impact on your life, giving you the freedom to create a work-life balance that truly suits you. Design Your Own Benefit: Tailor your perk package to fit your unique needs. Whether you’re eyeing a new gadget or welcoming a furry friend into your life, our flexible benefits ensure that you can prioritize what matters most to you. Unlimited Wellness Leaves: We believe in the power of well-being. Take the time you need to recharge, knowing that your health is our priority. With unlimited wellness leaves, you can return refreshed, ready to build and grow. Mental Wellness Support: Your mental health is as important as your professional growth. Benefit from access to health experts, free counseling sessions, monthly wellness workshops, and regular team outings, all designed to help you stay balanced and connected. Bi-Weekly Learning Sessions: These sessions are more than just updates—they’re opportunities to fuel your growth. Stay ahead with the latest industry knowledge, sharpen your skills, and accelerate your career in an ever-evolving landscape.

Position : Machine Vision & Imaging AI Engineer Location : THub Hyderabad Company : Meridian Data Labs Type : Full-time | On-site Experience : 2–6 years (flexible for the right candidate) About Us Meridian Data Labs is a deep-tech startup working at the intersection of computer vision, AI/ML, and edge computing . We design and build cutting-edge imaging systems and AI solutions for defense, aerospace, and industrial clients. Our work spans robotics, video analytics, inspection systems, and 3D reconstruction. Role Overview We are seeking a hands-on engineer with strong expertise in Machine Vision and AI/ML for Image and Video Processing . You will help develop high-performance vision systems that combine precise hardware with intelligent software for real-world applications. Key Responsibilities Machine Vision Design and integrate camera systems (industrial, stereo, depth, thermal, etc.) Select and configure lenses, lighting setups (structured, backlight, coaxial, etc.) Interface with frame grabbers, image acquisition libraries (e.g., GenICam, Spinnaker, etc.) Calibrate vision systems (intrinsic/extrinsic, multi-camera setups) Work closely with hardware and robotics teams for vision system integration AI/ML for Imaging and Video Develop deep learning models for object detection, segmentation, classification Build pipelines for image/video preprocessing, augmentation, and real-time inference Work on 3D reconstruction from stereo, multi-view, or structured light data Implement and optimize models for deployment on edge devices (NVIDIA Jetson, etc.) Collaborate on dataset creation, annotation, and model validation Required Skills & Qualifications B.E./B.Tech or M.S./M.Tech in Computer Science, ECE, Robotics, or related fields Strong knowledge of computer vision and imaging fundamentals Experience with OpenCV, PyTorch/TensorFlow, and image processing libraries Experience with industrial cameras (e.g., Basler, FLIR), lighting systems, and lenses Understanding of camera interfaces (USB3, GigE, MIPI, etc.) Hands-on experience in AI model training, deployment, and tuning for real-world data Bonus (Good to Have) Exposure to robotics and automation systems Experience in real-time video analytics or embedded systems Experience with 3D data (point clouds, photogrammetry, stereo vision) Familiarity with frameworks like ROS, NVIDIA DeepStream, Open3D, etc. What We Offer Opportunity to work on high-impact, mission-critical systems Cross-disciplinary learning in hardware-software integration Fast-paced startup environment with real ownership Work with cutting-edge tech in defense and aerospace domains To Apply : Send your resume and portfolio (if available) to somesh@meridiandatalabs.com

Work Type: Contractor | Permanent Remote Compensation: USD 15 – 25/hour Hours: 20 / 30 / 40 hours per week (PST overlap required) Experience Required: 3 – 8 Years Contract Duration: 3 Months Notice Period: Immediate to Max 1 Week Note This is a remote, contract-based position. Payment is hourly with no paid leaves or employee benefits. Contractors are responsible for their own taxes and statutory compliance. Job Overview We are hiring Senior JavaScript Engineers to support LLM (Large Language Model) evaluation and training dataset development using real-world GitHub repositories. You’ll work with researchers to assess LLM capabilities in solving real coding problems, perform environment setup, evaluate software quality, and validate bug-fix performance. Key Responsibilities Analyze and triage GitHub issues in trending open-source projects Set up and configure repositories (including Dockerization and tooling) Evaluate test coverage and software quality Modify, run, and validate codebases for bug-fix test cases Collaborate with researchers to identify complex or challenging repositories (Optional) Mentor or lead junior engineers on project tasks Must-Have Skills 3–4+ years of hands-on JavaScript development experience Strong understanding of real-world, large-scale codebases Experience with Git, Docker, and CI/CD pipelines Comfortable running, debugging, and modifying real code locally Exposure to GitHub workflows and open-source contributions

Work Type: Contractor | Permanent Remote Compensation: USD 15 – 25/hour Hours: 20 / 30 / 40 hours per week (PST overlap required) Experience Required: 3 – 8 Years Contract Duration: 3 Months Notice Period: Immediate to Max 1 Week Note This is a remote, contract-based position. Payment is hourly with no paid leaves or employee benefits. Contractors are responsible for their own taxes and statutory compliance. Job Overview We are hiring Senior JavaScript Engineers to support LLM (Large Language Model) evaluation and training dataset development using real-world GitHub repositories. You’ll work with researchers to assess LLM capabilities in solving real coding problems, perform environment setup, evaluate software quality, and validate bug-fix performance. Key Responsibilities Analyze and triage GitHub issues in trending open-source projects Set up and configure repositories (including Dockerization and tooling) Evaluate test coverage and software quality Modify, run, and validate codebases for bug-fix test cases Collaborate with researchers to identify complex or challenging repositories (Optional) Mentor or lead junior engineers on project tasks Must-Have Skills 3–4+ years of hands-on JavaScript development experience Strong understanding of real-world, large-scale codebases Experience with Git, Docker, and CI/CD pipelines Comfortable running, debugging, and modifying real code locally Exposure to GitHub workflows and open-source contributions

Location: India Remote Employment Type: Full-time Experience Level: Mid to Senior (4-5+ years) Date of Joining : Required Immediate Joiners About UltraSafeAI UltraSafeAI is a US-based technology company at the forefront of developing secure, reliable, and explainable AI systems. We specialize in proprietary AI technologies including advanced LLMs, CNNs, VLLMs, intelligent agents, computer vision systems, and cutting-edge ML algorithms. Our focus is on B2B AI adoption, providing end-to-end integration using our proprietary technology stack to automate entire business processes. We create intelligent solutions that prioritize safety, transparency, and human alignment across various industries including healthcare, finance, legal, and enterprise services. Our mission is to enable seamless AI adoption while maintaining the highest standards of safety and ethical considerations. Position Overview We're seeking an experienced AI Research Engineer specializing in model training, fine-tuning, and optimization of large language models (LLMs), vision language models (VLMs), and convolutional neural networks (CNNs). The ideal candidate will have deep expertise in training and fine-tuning foundation models using advanced techniques and frameworks, with particular emphasis on reinforcement learning approaches for alignment. As an AI Research Engineer at UltraSafeAI, you'll work on developing and enhancing our proprietary models, creating domain-specific adaptations, and optimizing inference performance. You'll collaborate with our engineering team to build the core AI capabilities that power our enterprise solutions and set new standards for AI performance and safety in business applications. Key Responsibilities ● Train and fine-tune large language models (LLMs) and vision language models (VLMs) using state-of-the-art techniques ● Implement and improve reinforcement learning methods for model alignment, including DPO, PPO, and GRPO ● Develop and optimize CNNs for specialized computer vision tasks in enterprise contexts ● Work with distributed training frameworks for efficient model development ● Optimize models for inference using libraries like VLLM, SGLANG, and Triton Inference Server ● Implement techniques for reducing model size while maintaining performance (quantization, distillation, pruning) ● Create domain-specific adaptations of foundation models for vertical industry applications ● Design and execute experiments to evaluate model performance and alignment ● Develop benchmarks and metrics to measure improvements in model capabilities ● Collaborate with data science team on dataset curation and preparation for training ● Document model architectures, training procedures, and experimental results ● Stay current with the latest research in model training and alignment techniques Required Qualifications ● 4-5+ years of professional experience in AI/ML engineering with focus on model training ● Strong expertise in training and fine-tuning large language models ● Experience with major deep learning frameworks (PyTorch, TensorFlow, JAX) ● Hands-on experience with model training libraries and frameworks (Transformers, NeMo, Megatron-LM, TRL) ● Practical implementation of reinforcement learning techniques for model alignment (DPO, PPO, GRPO) ● Experience optimizing models for efficient inference ● Strong understanding of distributed training techniques for large models ● Background in computer vision model development (CNNs, vision transformers) ● Excellent programming skills in Python and related data science tools ● Experience with cloud infrastructure for ML workloads (AWS, GCP, or Azure) ● Strong problem-solving skills and scientific mindset ● Excellent documentation and communication abilities Highly Desirable ● Experience with multimodal models combining text, vision, and other modalities ● Knowledge of model quantization techniques (QLoRA, GPTQ, AWQ) ● Experience with VLLM, SGLANG, or Triton Inference Server for optimized inference ● Background in prompt engineering and instruction tuning ● Familiarity with RLHF (Reinforcement Learning from Human Feedback) ● Experience with model evaluation and red-teaming ● Knowledge of AI safety and alignment research ● Experience with domain-specific model adaptation for industries like healthcare, finance, or legal ● Background in research with publications or contributions to open-source ML projects ● Experience with MLOps tools and practices for model lifecycle management Why Join UltraSafeAI? ● Create Proprietary AI Models: Develop the core AI technologies that power our enterprise solutions ● 100% Remote Work: Work remotely with our US-based company with flexible hours ● B2B Impact: Help shape AI models that solve real business problems across industries ● Cutting-Edge Research: Work on the frontier of AI model development and alignment ● Continuous Learning: Regular knowledge sharing sessions and education stipend ● Collaborative Team: Work with talented researchers and engineers focused on innovation ● Work-Life Balance: Flexible PTO policy and respect for personal time ● Career Growth: Clear paths for advancement in a rapidly growing company ● Industry-Leading Infrastructure: Access to high-performance computing resources for model training

The Statistical Programmer II provides technical expertise for the conduct of clinical trials, and works with minimal supervision to support various programming activities related to the analysis and reporting of clinical study data. In addition, the Statistical Programmer II may fill the Statistical Programming Lead role (or part of that role) on small, non-complex projects. This role supports the generation of real-world evidence (RWE) by programming and analyzing large-scale observational datasets. The ideal candidate will have strong SAS programming skills, familiarity with R, and experience working with healthcare claims, electronic health records (EHR), or registry data. Key Accountabilities Project Management: Assist in the coordination of project start-up activities, creation of global programs, tracking spreadsheets, and other required documentation. Statistical Programming For Assigned Projects Deliver best value and high quality service. Check own work in an ongoing way to ensure first-time quality. Use efficient programming techniques to produce derived datasets (e.g. SDTM, ADaM), tables, figures, and data listings of any complexity and QC low-medium complexity derived datasets, tables, figures, and data listings. Assist in the production/QC of derived dataset specifications and other process supporting documents and submission documentation. Training Maintain and expand local and international regulatory knowledge within the clinical industry. Develop knowledge of SAS and processes/procedures within other Parexel functional areas. Provide relevant training and mentorship to staff and project teams as appropriate. General Develop, validate, and maintain SAS and R programs to support RWD analyses, including prevalence, treatment patterns, cost/utilization, and time-to-event studies Execute programming tasks using Client standard macros and environments within UNIX and AWS-based platforms Perform double programming and quality control (QC) checks in alignment with internal SOPs and KIMS system workflows Collaborate with statisticians, data scientists, and cross-functional teams to define specifications and deliverables Document programming processes and outputs in accordance with regulatory and internal audit requirements Contribute to the development and maintenance of internal R packages, Shiny apps, and Quarto documentation to support programming workflows Participate in onboarding and mentoring of new programmers, including training on client-specific tools and data environments Skills Excellent analytical skills. Proficiency in SAS; working knowledge of R is highly desirable 3+ years of experience in statistical programming, preferably in a pharmaceutical or healthcare setting Knowledge and understanding of the programming and reporting process. Knowledge of SOPs/Guidelines, ICH-GCP, and any other applicable local and international regulations such as 21 CFR Part 11. Familiarity with real-world data sources such as Optum, MarketScan, Flatiron, CPRD, or similar Experience with Snowflake, UNIX/Linux environments, and version control tools (e.g., Git). Strong understanding of data privacy, regulatory compliance, and audit-readiness in RWD contexts Ability to learn new systems and function in an evolving technical environment. Ability to manage competing priorities and flexibility to change. Attention to detail. Ability to successfully work as part of a global team. Work effectively in a quality-focused environment. Effective time management in order to meet daily metrics or team objectives. Show commitment to and perform consistently high quality work. Business/operational skills that include customer focus, commitment to quality management, and problem solving. Knowledge And Experience Competent in written and oral English. Good communication skills. Experience with OMOP/OHDSI standards and tools Exposure to project management tools like Monday.com Ability to work independently and manage multiple priorities in a fast-paced environment Education Educated to degree level in a relevant discipline and/or equivalent work experience; Bachelor’s or Master’s degree in Statistics, Computer Science, Epidemiology preferred.

Job Description Designation: QA Engineer Experience : 6months - 3 Years Location: Indore (M. P.) - Work from office Role: Full time Responsibilities: Review and analyze system specifications. Execute test cases (manual or automated) and analyze results Evaluate product code according to specifications Create logs to document testing phases and defects Report bugs and errors to development teams Help troubleshoot issues Conduct post-release/ post-implementation testing Work with cross-functional teams to ensure quality throughout the software development lifecycle Create a large dummy dataset in order to do the performance testing Gather Performance Testing Requirements Conduct system performance testing to ensure system reliability, capacity, and scalability. Work with the testing team to develop performance test plans and cases . Requirements: Excellent communication skills Proven experience as a Quality Assurance Tester or similar role Experience in project management and QA methodology Good experience with automation testing tools. Familiarity with Agile frameworks and regression testing is a plus. Attention to detail Analytical mind and problem-solving aptitude Write documentation for automated processes including test plans, test procedures, and test cases. Job Types: Full-time, Permanent Pay: Up to ₹55,179.30 per month Work Location: In person Speak with the employer +91 8319592630

About The Role Grade Level (for internal use): 10 The Team: The Private Markets Data Stewardship team delivers research, content, and analytics about private capital markets for Private Equity & Venture Capital and alternative asset class firms, their portfolio investments, and funds. Our data is used to support deal sourcing, fundraising, data exploration and valuation analysis by institutional investors, money managers and investment banking professionals. We provide expertise in datasets, assist with client requests, and help Product and Commercial teams with their engagements with current and prospective clients. A Key responsibility of our team is to support the development of new solutions for our dataset across various data delivery channels (feeds, platforms, APIs etc.), covering both self-sourced data and the data purchased from third party vendors. The Impact As a senior member of the team, you will be collaborating and focusing on bringing together various stakeholders to drive Data Strategy Initiatives through the SDLC, ensuring technical solutions are sound and execute business strategies through client-centric mindset. The successful candidate will work within the context of a cross-functional team aligned with Data Stewards, Operations Managers, Product and its support functions and Agile Technology teams. The role requires excellent communication, project management, data analytics, conflict resolution, critical thinking, and stakeholder management skills to ensure quality and timely delivery of projects. What’s in it for you: Private Capital Markets data is in high demand, and our clients value our data driven approach. This is a great opportunity to further develop your business acumen by venturing into a mammoth world of S&P data and gain deep experience and expertise in the field of data exploration, data analytics. This role offers exposure to work with a group that is driven by principles and challenging roles that provide multiple paths for growth in different Private Markets data projects. Responsibilities Manage the end-to-end delivery of the Private Markets data projects (requirements gathering and consultation, research & analysis, work sizing, developing the vision & roadmap, collaboration with Technology and Product teams on implementation) Develop business logics to integrate and transform various Private Capital Markets data facets from multiple sources into our internal data structures and perform User Acceptance Testing (UAT) for the same Work with Agile Technology teams to complete the design of various projects and processes/tools while partnering with other Content teams on the shared structures Collaboration with Product Teams on identifying key client needs and converting them into smaller business projects for successful implementation in backend structures Converting raw complex data into easy-to-understand information through data visualization and presenting the same to stakeholders Analyze and uncover inconsistencies in large amounts of data supplied by third-party providers by utilizing SQL knowledge and propose solutions to address them in S&P Global products Support BAU and client requests across all areas of the dataset Essential Qualifications What We’re Looking For: 6+ years of work experience including Data Strategy, management & governance, preferably in a financial market data intensive environment Sound knowledge about backend infrastructure and SDLC (tables/pipelines/loaders, etc.) Strong command in writing and developing SQL Queries (joins, exist/not-exist, group by, having, cast, etc.) Good understanding of S&P Products such as Capital IQ Pro, Capital IQ, Excel Plug-In, feeds, etc. Proactive attitude in problem identification/resolution and track record of successful delivery of complex projects, particularly in content-related domain Ability to work collaboratively across segments and cultures Comfortable working in a dynamic, fast-paced environment while handling multiple tasks Excellent time management skills, ability to meet strict deadlines Effective and Structured Communication/Presentation skills Willing to work evening shifts and flexible hours Preferred Qualifications Familiarity with Private Capital Markets Data Project Management/Agile/Data Management Related Certification Working knowledge of Visualization Tools (Tableau, Power BI etc.) Experience in Data Mining, Analysis, AI/ML/Automation Basic understanding of Python What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 312872 Posted On: 2025-07-17 Location: Ahmedabad, Gujarat, India

About The Role Grade Level (for internal use): 10 The Team: The Private Markets Data Stewardship team delivers research, content, and analytics about private capital markets for Private Equity & Venture Capital and alternative asset class firms, their portfolio investments, and funds. Our data is used to support deal sourcing, fundraising, data exploration and valuation analysis by institutional investors, money managers and investment banking professionals. We provide expertise in datasets, assist with client requests, and help Product and Commercial teams with their engagements with current and prospective clients. A Key responsibility of our team is to support the development of new solutions for our dataset across various data delivery channels (feeds, platforms, APIs etc.), covering both self-sourced data and the data purchased from third party vendors. The Impact As a senior member of the team, you will be collaborating and focusing on bringing together various stakeholders to drive Data Strategy Initiatives through the SDLC, ensuring technical solutions are sound and execute business strategies through client-centric mindset. The successful candidate will work within the context of a cross-functional team aligned with Data Stewards, Operations Managers, Product and its support functions and Agile Technology teams. The role requires excellent communication, project management, data analytics, conflict resolution, critical thinking, and stakeholder management skills to ensure quality and timely delivery of projects. What’s in it for you: Private Capital Markets data is in high demand, and our clients value our data driven approach. This is a great opportunity to further develop your business acumen by venturing into a mammoth world of S&P data and gain deep experience and expertise in the field of data exploration, data analytics. This role offers exposure to work with a group that is driven by principles and challenging roles that provide multiple paths for growth in different Private Markets data projects. Responsibilities Manage the end-to-end delivery of the Private Markets data projects (requirements gathering and consultation, research & analysis, work sizing, developing the vision & roadmap, collaboration with Technology and Product teams on implementation) Develop business logics to integrate and transform various Private Capital Markets data facets from multiple sources into our internal data structures and perform User Acceptance Testing (UAT) for the same Work with Agile Technology teams to complete the design of various projects and processes/tools while partnering with other Content teams on the shared structures Collaboration with Product Teams on identifying key client needs and converting them into smaller business projects for successful implementation in backend structures Converting raw complex data into easy-to-understand information through data visualization and presenting the same to stakeholders Analyze and uncover inconsistencies in large amounts of data supplied by third-party providers by utilizing SQL knowledge and propose solutions to address them in S&P Global products Support BAU and client requests across all areas of the dataset Essential Qualifications What We’re Looking For: 6+ years of work experience including Data Strategy, management & governance, preferably in a financial market data intensive environment Sound knowledge about backend infrastructure and SDLC (tables/pipelines/loaders, etc.) Strong command in writing and developing SQL Queries (joins, exist/not-exist, group by, having, cast, etc.) Good understanding of S&P Products such as Capital IQ Pro, Capital IQ, Excel Plug-In, feeds, etc. Proactive attitude in problem identification/resolution and track record of successful delivery of complex projects, particularly in content-related domain Ability to work collaboratively across segments and cultures Comfortable working in a dynamic, fast-paced environment while handling multiple tasks Excellent time management skills, ability to meet strict deadlines Effective and Structured Communication/Presentation skills Willing to work evening shifts and flexible hours Preferred Qualifications Familiarity with Private Capital Markets Data Project Management/Agile/Data Management Related Certification Working knowledge of Visualization Tools (Tableau, Power BI etc.) Experience in Data Mining, Analysis, AI/ML/Automation Basic understanding of Python What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 312872 Posted On: 2025-07-17 Location: Ahmedabad, Gujarat, India

About CITI Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. Analytics and Information Management (AIM) Citi AIM was established in 2003, and is located across multiple cities in India – Bengaluru, Chennai, Pune and Mumbai. It is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best in class and relevant analytic methodologies. About The Role The Business Analytics Analyst role will be a part of AIM's wealth analytics organization. The analyst will work on multiple projects that would enable growth and profitability for the wealth business by focusing on strategy, product & customer analytics and developing reports to track key KPIs for senior management to enable portfolio monitoring and appropriate decision making. Citi's wealth analytics and data organization is a fast growing organization and the role will provide opportunity for the analyst to work on fast paced projects, partnering with stakeholders across Citi's multiple locations. We are looking for ambitious and motivated individuals who will be a part of our organization and will support the analytics organization add value to Citi's wealth business. Responsibilities: Work on projects spanning reporting, strategy, product and customer analytics and insights Work with teammates and stakeholders across multiple locations. Effective communication is a must to ensure alignment with objectives and deliverables. Identifies data patterns & trends, and provides insights to enhance business decision making capability through timely planning, process improvement, solution assessment etc. Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies Translate data into behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively with business partners and senior leaders Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies Be compliant with all of Citi's data governance and risk policies Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: Master’s /MCA or Bachelor’s degree in Engineering / Technology / computer science from premier institutes with 2 + years of experience in delivering analytical solutions Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Hands on experience in SQL, Python, Pyspark Hands on experience working with large, complex, unstructured dataset, data warehouses and ability to pull data using relevant programs and coding. Experience in banking industry would be an advantage Should have excellent communication and inter-personal skills Strong team player This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Business Analysis ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

📍 Location : Bhubaneswar / Remote 📄 Internship Certificate : Provided upon successful completion 💰 Stipend : Up to ₹3,000/month (Performance-based) ⏳ Duration : 2–3 months (can be extended based on performance) 🎯 Who Can Apply? We are looking for passionate tech and stock market enthusiasts who want to gain hands-on experience in backend and full-stack development, especially in real-world financial and AI-based applications. If you are someone who follows the stock market closely , understands how it works, and is eager to apply your technical skills to real financial datasets, we want you on our team. ✅ Eligibility Freshers or students pursuing: B.Tech / B.E / M.Tech BCA / MCA B.Sc (IT) or equivalent Strong interest in stock markets and financial data Solid enthusiasm for web backend/hybrid development Basic understanding of Python, SQL, and REST APIs Willingness to learn and work with live stock market data 🔧 Key Responsibilities Backend Development : Work with Python, Pandas, NumPy, PostgreSQL/SQL, and Node.js Stock Market Data Management : Clean, analyze, and manage datasets from Indian stock markets (NSE/BSE) API Development : Build and integrate REST APIs for frontend consumption Frontend Collaboration : Coordinate with React developers; work with HTML, CSS, and JS Cloud Deployment : Assist in deploying backend services on cloud (AWS/GCP/Oracle Free Tier) AI/ML Integration : Support AI-driven features for financial forecasting and analytics 📚 Learning Opportunities Real-world exposure to financial APIs , trading systems, and live market data Work closely with full-stack and AI developers on fintech applications Get started with containerization (Docker) and automation (GitHub Actions) Deploy and maintain apps in cloud environments Contribute to AI-powered tools in finance and trading 💡 Application Instructions 📌 Share your GitHub profile (with relevant code or projects). 📌 If you don’t have one, complete this optional sample task : "Build a webpage listing companies on the left panel. When a company is clicked, show relevant stock price charts. Use any sample dataset or mock stock data." This helps us evaluate your practical understanding, stock market awareness, and coding ability. 🎁 Perks & Benefits Internship Completion Certificate & Letter of Recommendation Real-world exposure to stock market tech and AI Learn industry-standard tools, version control, and deployment practices Flexible work hours (100% remote) Opportunity to extend the internship or join long-term based on performance 🚀 Ready to merge your passion for the stock market with backend development? Apply now and start building applications that matter in the world of fintech!

Description At Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cuttingedge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities The Candidate Actively Seeks To Understand Amazon’s Core Business Values And Initiatives, And Translates Those Into Everyday Practices. Some Of The Key Result Areas Include, But Not Limited To Experience in managing process and operational escalations Driving appropriate data oriented analysis, adoption of technology solutions and process improvement projects to achieve operational and business goal Managing stakeholder communication across multiple lines of business on operational milestones, process changes and escalations Communicate and take the lead role in identifying gaps in process areas and work with all stakeholders to resolve the gaps Be a SME for the process and a referral point for peers and junior team members Has the ability to drive business/operational metrics through quantitative decision making, and adoption of different tools and resources Ability to meet deadlines in a fast paced work environment driven by complex software systems and processes Ability to perform deep dive in the process and come up with process improvement solutions Shall collaborate effectively with other teams and subject matter experts (SMEs), Language Engineers (LaEs) to support launches of new process and services Basic Qualifications A Bachelor’s Degree and relevant work experience of 3+ years. Excellent level of English and French, C1 or above level. Candidate must demonstrate ability to analyze and interpret complex SOPs. Excellent problem-solving skills with a proactive approach to identifying and implementing process improvements. Strong communication and interpersonal skills to effectively guide and mentor associates. Ability to work collaboratively with cross-functional teams. Thoroughly understand multiple SOPs and ensure adherence to established processes. Identify areas for process improvement and SOP enhancement, and develop actionable plans for implementation. Lead and participate in process improvement initiatives. Comfortable working in a fast paced, highly collaborative, dynamic work environment Willingness to support several projects at one time, and to accept re-prioritization as necessary. Adaptive to change and able to work in a fast-paced environment. Preferred Qualifications Experience with Artificial Intelligence interaction, such as prompt generation. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana Job ID: A3036845

Description At Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cuttingedge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities The Candidate Actively Seeks To Understand Amazon’s Core Business Values And Initiatives, And Translates Those Into Everyday Practices. Some Of The Key Result Areas Include, But Not Limited To Experience in managing process and operational escalations Driving appropriate data oriented analysis, adoption of technology solutions and process improvement projects to achieve operational and business goal Managing stakeholder communication across multiple lines of business on operational milestones, process changes and escalations Communicate and take the lead role in identifying gaps in process areas and work with all stakeholders to resolve the gaps Be a SME for the process and a referral point for peers and junior team members Has the ability to drive business/operational metrics through quantitative decision making, and adoption of different tools and resources Ability to meet deadlines in a fast paced work environment driven by complex software systems and processes Ability to perform deep dive in the process and come up with process improvement solutions Shall collaborate effectively with other teams and subject matter experts (SMEs), Language Engineers (LaEs) to support launches of new process and services Basic Qualifications A Bachelor’s Degree and relevant work experience of 3+ years. Excellent level of English and Spanish, C1 level or above. Candidate must demonstrate ability to analyze and interpret complex SOPs. Excellent problem-solving skills with a proactive approach to identifying and implementing process improvements. Strong communication and interpersonal skills to effectively guide and mentor associates. Ability to work collaboratively with cross-functional teams. Thoroughly understand multiple SOPs and ensure adherence to established processes. Identify areas for process improvement and SOP enhancement, and develop actionable plans for implementation. Lead and participate in process improvement initiatives. Comfortable working in a fast paced, highly collaborative, dynamic work environment Willingness to support several projects at one time, and to accept re-prioritization as necessary. Adaptive to change and able to work in a fast-paced environment. Preferred Qualifications Experience with Artificial Intelligence interaction, such as prompt generation. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana - D50 Job ID: A3036847

Description At Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cuttingedge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities The Candidate Actively Seeks To Understand Amazon’s Core Business Values And Initiatives, And Translates Those Into Everyday Practices. Some Of The Key Result Areas Include, But Not Limited To Experience in managing process and operational escalations Driving appropriate data oriented analysis, adoption of technology solutions and process improvement projects to achieve operational and business goal Managing stakeholder communication across multiple lines of business on operational milestones, process changes and escalations Communicate and take the lead role in identifying gaps in process areas and work with all stakeholders to resolve the gaps Be a SME for the process and a referral point for peers and junior team members Has the ability to drive business/operational metrics through quantitative decision making, and adoption of different tools and resources Ability to meet deadlines in a fast paced work environment driven by complex software systems and processes Ability to perform deep dive in the process and come up with process improvement solutions Shall collaborate effectively with other teams and subject matter experts (SMEs), Language Engineers (LaEs) to support launches of new process and services Basic Qualifications A Bachelor’s Degree and relevant work experience of 3+ years. Excellent level of English and Italian, C1 level or above. Candidate must demonstrate ability to analyze and interpret complex SOPs. Excellent problem-solving skills with a proactive approach to identifying and implementing process improvements. Strong communication and interpersonal skills to effectively guide and mentor associates. Ability to work collaboratively with cross-functional teams. Thoroughly understand multiple SOPs and ensure adherence to established processes. Identify areas for process improvement and SOP enhancement, and develop actionable plans for implementation. Lead and participate in process improvement initiatives. Comfortable working in a fast paced, highly collaborative, dynamic work environment Willingness to support several projects at one time, and to accept re-prioritization as necessary. Adaptive to change and able to work in a fast-paced environment. Preferred Qualifications Experience with Artificial Intelligence interaction, such as prompt generation. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana - D50 Job ID: A3036856

Note: This is a remote, contract-based position. Payment is hourly with no paid leaves or employee benefits. Contractors are responsible for their own taxes and statutory compliance. Job Overview We are hiring Senior JavaScript Engineers to support LLM (Large Language Model) evaluation and training dataset development using real-world GitHub repositories. You’ll work with researchers to assess LLM capabilities in solving real coding problems, perform environment setup, evaluate software quality, and validate bug-fix performance. Key Responsibilities Analyze and triage GitHub issues in trending open-source projects Set up and configure repositories (including Dockerization and tooling) Evaluate test coverage and software quality Modify, run, and validate codebases for bug-fix test cases Collaborate with researchers to identify complex or challenging repositories (Optional) Mentor or lead junior engineers on project tasks Must-Have Skills 3–4+ years of hands-on JavaScript development experience Strong understanding of real-world, large-scale codebases Experience with Git, Docker, and CI/CD pipelines Comfortable running, debugging, and modifying real code locally Exposure to GitHub workflows and open-source contributions

Note: This is a remote, contract-based position. Payment is hourly with no paid leaves or employee benefits. Contractors are responsible for their own taxes and statutory compliance. Job Overview We are hiring Senior JavaScript Engineers to support LLM (Large Language Model) evaluation and training dataset development using real-world GitHub repositories. You’ll work with researchers to assess LLM capabilities in solving real coding problems, perform environment setup, evaluate software quality, and validate bug-fix performance. Key Responsibilities Analyze and triage GitHub issues in trending open-source projects Set up and configure repositories (including Dockerization and tooling) Evaluate test coverage and software quality Modify, run, and validate codebases for bug-fix test cases Collaborate with researchers to identify complex or challenging repositories (Optional) Mentor or lead junior engineers on project tasks Must-Have Skills 3–4+ years of hands-on JavaScript development experience Strong understanding of real-world, large-scale codebases Experience with Git, Docker, and CI/CD pipelines Comfortable running, debugging, and modifying real code locally Exposure to GitHub workflows and open-source contributions

• A Bachelor’s Degree and relevant work experience of 3+ years. • Excellent level of English and Spanish, C1 level or above. • Candidate must demonstrate ability to analyze and interpret complex SOPs. • Excellent problem-solving skills with a proactive approach to identifying and implementing process improvements. • Strong communication and interpersonal skills to effectively guide and mentor associates. • Ability to work collaboratively with cross-functional teams. • Thoroughly understand multiple SOPs and ensure adherence to established processes. • Identify areas for process improvement and SOP enhancement, and develop actionable plans for implementation. • Lead and participate in process improvement initiatives. • Comfortable working in a fast paced, highly collaborative, dynamic work environment · Willingness to support several projects at one time, and to accept re-prioritization as necessary. • Adaptive to change and able to work in a fast-paced environment. At Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cuttingedge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities The candidate actively seeks to understand Amazon’s core business values and initiatives, and translates those into everyday practices. Some of the key result areas include, but not limited to: • Experience in managing process and operational escalations • Driving appropriate data oriented analysis, adoption of technology solutions and process improvement projects to achieve operational and business goal • Managing stakeholder communication across multiple lines of business on operational milestones, process changes and escalations • Communicate and take the lead role in identifying gaps in process areas and work with all stakeholders to resolve the gaps • Be a SME for the process and a referral point for peers and junior team members • Has the ability to drive business/operational metrics through quantitative decision making, and adoption of different tools and resources • Ability to meet deadlines in a fast paced work environment driven by complex software systems and processes • Ability to perform deep dive in the process and come up with process improvement solutions • Shall collaborate effectively with other teams and subject matter experts (SMEs), Language Engineers (LaEs) to support launches of new process and services Experience with Artificial Intelligence interaction, such as prompt generation. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Backdrop AVIZVA is a Healthcare Technology Organization that harnesses technology to simplify, accelerate, & optimize the way healthcare enterprises deliver care. Established in 2011, we have served as strategic enablers for healthcare enterprises, helping them enhance their overall care delivery. With over 14 years of expertise, we have engineered more than 150 tailored products for leading Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and more. Overview of The Role As a System Analyst within a product development team in AVIZVA, you will be one of the front- liners of the team spearheading your product’s solution design activities alongside the product owners, system architect, lead developers while collaborating with all business & technology stakeholders . Job Responsibilities Gather & analyze business, functional, data requirements with the PO, & relevant stakeholders and derive system requirements from the same. Work with the system architect to develop an understanding of the product's architecture, components, interactions, flows, and build clarity around the technological nuances & constructs involved. Develop an understanding of the various datasets relevant to the industry, their business significance and logical structuring from a data modeling perspective. Conduct in-depth industry research around datasets pertinent to the underlying problem statements. Identify, (data) model & document the various entities, relationships & attributes alongwith appropriate cardinality and normalization. Apply ETL principles to formulate & document data dictionaries, business rules, transformation & enrichment logic, for various datasets in question pertaining to various source & target systems in context. Define data flow, validations & business rules driving the interchange of data between components of a system or multiple systems. Define requirements around system integrations and exchange of data such as systems involved, services (APIs) involved, nature of integration, handshake details (data involved, authentication, etc.) Identify use-cases for exposure of data within an entity/dataset via APIs and define detailed API signatures and create API documentation. Provide clarifications to the development team around requirements, system design, integrations, data flows, scenarios. Support to other product teams dependent on the APIs, integrations defined by your product team, in understanding the endpoints, logics, business, entity structure etc. Provide backlog grooming support to the Product Owner through activities such as functional analysis and data analysis. Skills & Qualifications Bachelor’s or Master’s degree in Computer Science or any other analytically inclined field of study. At least 4 years of relevant experience in roles such as Business Analyst, Systems Analyst or Business System Analyst. Experience in analysing & defining systems involving varying levels of complexity in terms of underlying components, data, integrations, flows, etc. Experience working with data (structured, semi-structureed), data modeling, writing database queries with hands-on SQL, and working knowledge of Elasticsearch indexes. Experience with Unstructured data will be a huge plus. Experience of identifying & defining entities & APIs, writing API specifications, & API consumer specifications. Ability to map data from various sources to various consumer endpoints such as a system, a service, UI, process, sub-process, workflow etc. Experience with data management products based on ETL principles, involving multitudes of datasets, disparate data sources and target systems. A strong analytical mindset with a proven ability to understand a variety of business problems through stakeholder interactions and other methods to ideate the most aligned and appropriate technology solutions. Exposure to diagrammatic analysis & elicitation of business processes, data & system flows using BPMN & UML diagrams, such as activity flow, use-cases, sequence diagrams, DFDs, etc. Exposure to writing requirements documentation such as BRD, FRD, SRS, Use-Cases, User-Stories etc. An appreciation for the systems’ technological and architectural concepts with an ability to speak about the components of an IT system, inter-component interactions, database, external and internal data sources, data flows & system flows. Experience (at least familiarity) of working with the Atlassian suite (Jira, & Confluence). Experience in product implementations & customisations through system configurations will be an added plus. Experience of driving UX design activities in collaboration with graphic & UI design teams, by means of enabler tools such as Wireframes, sketches, flow diagrams, information architecture etc. will be an added plus. Exposure to UX designing & collaboration tools such as Figma, Zeplin, etc. will be an added plus. Awareness or prior exposure to Healthcare & Insurance business & data will be a huge advantage.

We are seeking a skilled Data Migration Test Engineer with 6-8 years of experience and strong expertise in ETL testing , data validation , and automation scripting to support a critical data migration project. The ideal candidate will work closely with developers, database administrators, and project teams to validate data accuracy and consistency during migration from legacy systems to modern platforms. Key Responsibilities: Collaborate with development and DBA teams to understand data migration strategies, source/target schemas, and transformation logic. Validate data integrity, completeness, and accuracy between legacy and target systems post-migration. Design and execute comprehensive test plans and test cases based on migration requirements. Develop and run SQL queries to perform row-level and aggregate-level data validation. Leverage Python and libraries such as Pandas and NumPy for automating large dataset comparisons. Identify and document data inconsistencies or defects; collaborate with development teams for resolution. Perform performance and regression testing of ETL jobs and data pipelines. Contribute to continuous improvement of test processes and automation coverage. Required Skills: Strong experience in writing complex SQL queries for data validation, transformation checks, and reconciliation. Hands-on experience with ETL/data migration testing and data quality assurance . Proficiency in Python , especially for data analysis and automation tasks. Experience using automation frameworks like PyTest for scripting and test execution. Solid understanding of Unix/Linux environments, including shell scripting, cron job scheduling, and log file analysis. Familiarity with version control systems (e.g., Git) and integrating tests into CI/CD pipelines (e.g., Jenkins). Experience with Apache Airflow or similar workflow orchestration tools is a plus. Comfortable working in Agile environments with cross-functional teams. Preferred Qualifications: Experience with large-scale database migrations (e.g., AS400 to Postgres or Oracle to Cloud platforms). Knowledge of data warehousing concepts and tools. Experience in cloud platforms (e.g., Azure, AWS, GCP) is an added advantage. Qualifications Btech Range of Year Experience-Min Year 6 Range of Year Experience-Max Year 8

About The Role Grade Level (for internal use): 07 The Team: The current opening is with S&P’s Transactions division that publishes Mergers & Acquisitions and Capital Market data. We collect and validates data using search tools, press releases, company websites, stock exchange websites and regulatory filings with a view to provide in-depth, accurate and timely information about different types of corporate actions such as M&A, placements, offerings, buybacks etc., which is then provided to our clients in the form of a formulated end product for S&P Global Market Intelligence. The Impact: This role will influence transactions dataset. In addition to collecting and validating the data, this role may require working with peers, other stakeholders and on process improvement projects. This position is an excellent stepping stone to understand M&A, PO and PP domain, that will allow you to gain a comprehensive understanding through financial reporting standards, and enable you to learn facets of corporate actions, and as well as apply this knowledge to your daily responsibilities. What’s in it for you: Primarily responsible for day-to-day collection and validation of transactions. Once strong fundamental understanding of the dataset and proficiency at workflows is developed, this role would require working with new talent to develop/enhance their skillset and working on process improvement projects including LEAN/automation projects that supports multiple SPGMI products. Key Responsibilities High quality data collation, analysis, extraction and entering the data in work tools as per guideline specifications. Extract and validate required information using search tools, press releases and websites, trade documents and regulatory filings Understand the working of the dataset, be aware of the workflows and have strong working knowledge of work tools Deliver on predefined individual and team targets including delivering outcomes with quality and excellence. Provides input and ideas for new collection methods and product enhancements related to the dataset Work on projects as an when they come up and ensure that they are completed within the given time span maintaining the desired quality Troubleshoots problems or issues and provide support to the team Basic Qualifications BCom/BBA/Economics Graduate Having MBA or M Com would be an added advantage Candidates with prior experience in Financial Research, Data Analytics and Quality Assurance/Check would be preferred Good research and analytical skills Articulate and fluent communication Knowledge of SQL and VBA is preferred Ability to handle multiple tasks simultaneously Ability to work and communicate effectively with stakeholders globally Willingness to work in all shifts on rotational basis (Morning, Evening & Night) What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315954 Posted On: 2025-07-17 Location: Hyderabad, Telangana, India

Product Owner - Private Markets Ahmedabad, India; Gurgaon, India; Hyderabad, India Data Management 312872 Job Description About The Role: Grade Level (for internal use): 10 The Team: The Private Markets Data Stewardship team delivers research, content, and analytics about private capital markets for Private Equity & Venture Capital and alternative asset class firms, their portfolio investments, and funds. Our data is used to support deal sourcing, fundraising, data exploration and valuation analysis by institutional investors, money managers and investment banking professionals. We provide expertise in datasets, assist with client requests, and help Product and Commercial teams with their engagements with current and prospective clients. A Key responsibility of our team is to support the development of new solutions for our dataset across various data delivery channels (feeds, platforms, APIs etc.), covering both self-sourced data and the data purchased from third party vendors. The Impact: As a senior member of the team, you will be collaborating and focusing on bringing together various stakeholders to drive Data Strategy Initiatives through the SDLC, ensuring technical solutions are sound and execute business strategies through client-centric mindset. The successful candidate will work within the context of a cross-functional team aligned with Data Stewards, Operations Managers, Product and its support functions and Agile Technology teams. The role requires excellent communication, project management, data analytics, conflict resolution, critical thinking, and stakeholder management skills to ensure quality and timely delivery of projects. What’s in it for you: Private Capital Markets data is in high demand, and our clients value our data driven approach. This is a great opportunity to further develop your business acumen by venturing into a mammoth world of S&P data and gain deep experience and expertise in the field of data exploration, data analytics. This role offers exposure to work with a group that is driven by principles and challenging roles that provide multiple paths for growth in different Private Markets data projects. Responsibilities: Manage the end-to-end delivery of the Private Markets data projects (requirements gathering and consultation, research & analysis, work sizing, developing the vision & roadmap, collaboration with Technology and Product teams on implementation) Develop business logics to integrate and transform various Private Capital Markets data facets from multiple sources into our internal data structures and perform User Acceptance Testing (UAT) for the same Work with Agile Technology teams to complete the design of various projects and processes/tools while partnering with other Content teams on the shared structures Collaboration with Product Teams on identifying key client needs and converting them into smaller business projects for successful implementation in backend structures Converting raw complex data into easy-to-understand information through data visualization and presenting the same to stakeholders Analyze and uncover inconsistencies in large amounts of data supplied by third-party providers by utilizing SQL knowledge and propose solutions to address them in S&P Global products Support BAU and client requests across all areas of the dataset What We’re Looking For: Essential Qualifications: 6+ years of work experience including Data Strategy, management & governance, preferably in a financial market data intensive environment Sound knowledge about backend infrastructure and SDLC (tables/pipelines/loaders, etc.) Strong command in writing and developing SQL Queries (joins, exist/not-exist, group by, having, cast, etc.) Good understanding of S&P Products such as Capital IQ Pro, Capital IQ, Excel Plug-In, feeds, etc. Proactive attitude in problem identification/resolution and track record of successful delivery of complex projects, particularly in content-related domain Ability to work collaboratively across segments and cultures Comfortable working in a dynamic, fast-paced environment while handling multiple tasks Excellent time management skills, ability to meet strict deadlines Effective and Structured Communication/Presentation skills Willing to work evening shifts and flexible hours Preferred Qualifications: Familiarity with Private Capital Markets Data Project Management/Agile/Data Management Related Certification Working knowledge of Visualization Tools (Tableau, Power BI etc.) Experience in Data Mining, Analysis, AI/ML/Automation Basic understanding of Python What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 312872 Posted On: 2025-07-17 Location: Ahmedabad, Gujarat, India

Backdrop AVIZVA is a Healthcare Technology Organization that harnesses technology to simplify, accelerate, & optimize the way healthcare enterprises deliver care. Established in 2011, we have served as strategic enablers for healthcare enterprises, helping them enhance their overall care delivery. With over 14 years of expertise, we have engineered more than 150 tailored products for leading Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and more. Overview Of The Role As a System Analyst within a product development team in AVIZVA, you will be one of the front- liners of the team spearheading your product’s solution design activities alongside the product owners, system architect, lead developers while collaborating with all business & technology stakeholders Job Responsibilities Gather & analyze business, functional, data requirements with the PO, & relevant stakeholders and derive system requirements from the same. Work with the system architect to develop an understanding of the product's architecture, components, interactions, flows, and build clarity around the technological nuances & constructs involved. Develop an understanding of the various datasets relevant to the industry, their business significance and logical structuring from a data modeling perspective. Conduct in-depth industry research around datasets pertinent to the underlying problem statements. Identify, (data) model & document the various entities, relationships & attributes alongwith appropriate cardinality and normalization. Apply ETL principles to formulate & document data dictionaries, business rules, transformation & enrichment logic, for various datasets in question pertaining to various source & target systems in context. Define data flow, validations & business rules driving the interchange of data between components of a system or multiple systems. Define requirements around system integrations and exchange of data such as systems involved, services (APIs) involved, nature of integration, handshake details (data involved, authentication, etc.) Identify use-cases for exposure of data within an entity/dataset via APIs and define detailed API signatures and create API documentation. Provide clarifications to the development team around requirements, system design, integrations, data flows, scenarios. Support to other product teams dependent on the APIs, integrations defined by your product team, in understanding the endpoints, logics, business, entity structure etc. Provide backlog grooming support to the Product Owner through activities such as functional analysis and data analysis. Skills & Qualifications Bachelor’s or Master’s degree in Computer Science or any other analytically inclined field of study. At least 4 years of relevant experience in roles such as Business Analyst, Systems Analyst or Business System Analyst. Experience in analysing & defining systems involving varying levels of complexity in terms of underlying components, data, integrations, flows, etc. Experience working with data (structured, semi-structureed), data modeling, writing database queries with hands-on SQL, and working knowledge of Elasticsearch indexes. Experience with Unstructured data will be a huge plus. Experience of identifying & defining entities & APIs, writing API specifications, & API consumer specifications. Ability to map data from various sources to various consumer endpoints such as a system, a service, UI, process, sub-process, workflow etc. Experience with data management products based on ETL principles, involving multitudes of datasets, disparate data sources and target systems. A strong analytical mindset with a proven ability to understand a variety of business problems through stakeholder interactions and other methods to ideate the most aligned and appropriate technology solutions. Exposure to diagrammatic analysis & elicitation of business processes, data & system flows using BPMN & UML diagrams, such as activity flow, use-cases, sequence diagrams, DFDs, etc. Exposure to writing requirements documentation such as BRD, FRD, SRS, Use-Cases, User-Stories etc. An appreciation for the systems’ technological and architectural concepts with an ability to speak about the components of an IT system, inter-component interactions, database, external and internal data sources, data flows & system flows. Experience (at least familiarity) of working with the Atlassian suite (Jira, & Confluence). Experience in product implementations & customisations through system configurations will be an added plus. Experience of driving UX design activities in collaboration with graphic & UI design teams, by means of enabler tools such as Wireframes, sketches, flow diagrams, information architecture etc. will be an added plus. Exposure to UX designing & collaboration tools such as Figma, Zeplin, etc. will be an added plus. Awareness or prior exposure to Healthcare & Insurance business & data will be a huge advantage.

POSITION NAME : AI and Machine Learning Engineer Location: Noida, NCR Years of Experience: 4-8 Yrs About Dailoqa Dailoqa’s mission is to bridge human expertise and artificial intelligence to solve the challenges facing financial services. Our founding team of 20+ international leaders, including former CIOs and senior industry experts, combines extensive technical expertise with decades of real-world experience to create tailored solutions that harness the power of combined intelligence. With a focus on Financial Services clients we have deep expertise across Risk & Regulations, Retail & Institutional Banking, Capital Markets, and Wealth & Asset Management. Dailoqa has global reach in UK, Europe, Africa, India, ASEAN, and Australia. We integrate AI into business strategies to deliver tangible outcomes and set new standards for the financial services industry. Working at Dailoqa will be hard work, our environment is fluid and fast-moving and you'll be part of a community that values innovation, collaboration, and relentless curiosity. We’re looking at people who : · Are proactive, curious adaptable, and patient · Shape the company's vision and will have a direct impact on its success. · Have the opportunity for fast career growth. · Have the opportunity to participate in the upside of an ultra-growth venture. · Have fun 🙂 Don’t apply if: · You want to work on a single layer of the application. · You prefer to work on well-defined problems. · You need clear, pre-defined processes. · You prefer a relaxed and slow paced environment. Our Philosophy Small team : Small talented teams outperform large and slow-moving companies. We avoid bureaucracy, keep meetings to a minimum and focus on creating value. Simple where possible: We are passionate about new technology (in particular Machine Learning and AI), but we are more passionate about solving problems for our customers. We strive to find the best solution, be it cutting-edge or old-school. Customer obsessed: We take every opportunity to talk to our customers. We obsess over their problems and work every day to make them happy. About the Role We are looking for AI and Machine Learning engineer who want to help shape the future of Financial Services clients and our company. As part of the team, you will get to · Work directly with our founding team and be a core member. · Apply the latest AI techniques to solve real problems faced by Financial Services clients. · Design, build, and refine datasets to evaluate and continuously improve our solutions. · Participate in strategy and product ideation sessions, influencing our product and solution roadmap. Key Responsibilities · Agentic AI Development : Work on building scalable multi-modal Large Language Model (LLM) based AI agents, leveraging frameworks such as LangGraph, Microsoft Autogen, or Crewai. · AI Research and Innovation : Research and build innovative solutions to relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs. · Technical Expertise : Proficiency in a technology stack that includes Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, and React. · LLM and NLP Experience : Hands-on experience working with LLMs, RAG architectures, Natural Language Processing (NLP), or applying Machine Learning to solve real-world problems. · Dataset Development : Strong track record of building datasets for training and/or evaluating machine learning models. · Customer Focus : Enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer. · Adaptability : Thrive in a fast-paced environment and are excited about joining an early-stage venture. · Model Deployment and Management : Automate model deployment, monitoring, and retraining processes. · Collaboration and Optimization : Collaborate with data scientists to review, refactor, and optimize machine learning code. · Version Control and Governance : Implement version control and governance for models and data. Required Qualifications: · Bachelor's degree in computer science, Software Engineering, or a related field · 4-8 years of experience in MLOps, DevOps, or related roles Have strong programming experience and familiarity with Python based deep learning frameworks like Pytorch, JAX, Tensorflow Have strong familiarity and knowledge of machine learning concepts · Proficiency in cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools like Terraform Desired Skills: · Experience with experiment tracking and model versioning tools You have experience with technology stack: Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. · Knowledge of data pipeline orchestration tools like Apache Airflow or Prefect · Familiarity with software testing and test automation practices · Understanding of ethical considerations in machine learning deployments · Strong problem-solving skills and ability to work in a fast-paced environment

About The Role Grade Level (for internal use): 10 The Team: The Private Markets Data Stewardship team delivers research, content, and analytics about private capital markets for Private Equity & Venture Capital and alternative asset class firms, their portfolio investments, and funds. Our data is used to support deal sourcing, fundraising, data exploration and valuation analysis by institutional investors, money managers and investment banking professionals. We provide expertise in datasets, assist with client requests, and help Product and Commercial teams with their engagements with current and prospective clients. A Key responsibility of our team is to support the development of new solutions for our dataset across various data delivery channels (feeds, platforms, APIs etc.), covering both self-sourced data and the data purchased from third party vendors. The Impact As a senior member of the team, you will be collaborating and focusing on bringing together various stakeholders to drive Data Strategy Initiatives through the SDLC, ensuring technical solutions are sound and execute business strategies through client-centric mindset. The successful candidate will work within the context of a cross-functional team aligned with Data Stewards, Operations Managers, Product and its support functions and Agile Technology teams. The role requires excellent communication, project management, data analytics, conflict resolution, critical thinking, and stakeholder management skills to ensure quality and timely delivery of projects. What’s in it for you: Private Capital Markets data is in high demand, and our clients value our data driven approach. This is a great opportunity to further develop your business acumen by venturing into a mammoth world of S&P data and gain deep experience and expertise in the field of data exploration, data analytics. This role offers exposure to work with a group that is driven by principles and challenging roles that provide multiple paths for growth in different Private Markets data projects. Responsibilities Manage the end-to-end delivery of the Private Markets data projects (requirements gathering and consultation, research & analysis, work sizing, developing the vision & roadmap, collaboration with Technology and Product teams on implementation) Develop business logics to integrate and transform various Private Capital Markets data facets from multiple sources into our internal data structures and perform User Acceptance Testing (UAT) for the same Work with Agile Technology teams to complete the design of various projects and processes/tools while partnering with other Content teams on the shared structures Collaboration with Product Teams on identifying key client needs and converting them into smaller business projects for successful implementation in backend structures Converting raw complex data into easy-to-understand information through data visualization and presenting the same to stakeholders Analyze and uncover inconsistencies in large amounts of data supplied by third-party providers by utilizing SQL knowledge and propose solutions to address them in S&P Global products Support BAU and client requests across all areas of the dataset Essential Qualifications What We’re Looking For: 6+ years of work experience including Data Strategy, management & governance, preferably in a financial market data intensive environment Sound knowledge about backend infrastructure and SDLC (tables/pipelines/loaders, etc.) Strong command in writing and developing SQL Queries (joins, exist/not-exist, group by, having, cast, etc.) Good understanding of S&P Products such as Capital IQ Pro, Capital IQ, Excel Plug-In, feeds, etc. Proactive attitude in problem identification/resolution and track record of successful delivery of complex projects, particularly in content-related domain Ability to work collaboratively across segments and cultures Comfortable working in a dynamic, fast-paced environment while handling multiple tasks Excellent time management skills, ability to meet strict deadlines Effective and Structured Communication/Presentation skills Willing to work evening shifts and flexible hours Preferred Qualifications Familiarity with Private Capital Markets Data Project Management/Agile/Data Management Related Certification Working knowledge of Visualization Tools (Tableau, Power BI etc.) Experience in Data Mining, Analysis, AI/ML/Automation Basic understanding of Python What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 312872 Posted On: 2025-07-17 Location: Ahmedabad, Gujarat, India