957 Dataset Jobs - Page 16

About the company Were hiring for a deep tech startup at the cutting edge of AI + Quantum Computing , offering a fully integrated stack from superconducting quantum hardware to AI powered software platforms for solving extremely complex business and scientific challenges across industries like drug discovery, logistics, chip design, energy, and climate modeling. The companys 25‑qubit superconducting quantum system is India’s first full stack build, backed by the National Quantum Mission and enterprise partnerships What You'll Do Design and build multi‑agent LLM systems for complex reasoning workflows Design domain specific scaffolds (prompts, datasets) and robust evaluation frameworks to guide AI systems in specialized environments Implement reinforcement learning enhancements (RLHF, DPO, GRPO, SFT) for agent optimization Fine tune and deploy small reasoning models; perform post‑training domain adaptation Engineer scalable training/inference pipelines on multi node GPU clusters with containerized infrastructure Collaborate with product and vertical teams to transition research into real world applications Contribute to publications, open source work, and internal learning across the company Who We're Looking For MS or PhD in CS, ML, AI or a related technical field 4+ years in applied AI research Proficient in Python + PyTorch or JAX, including scaled or custom implementations Practical experience with RL techniques like RLHF, DPO, GRPO, SFT Exposure to chain of thought prompting and dataset creation Demonstrated experience building and deploying multi‑agent systems Experience with distributed infrastructure: Docker/Kubernetes, Ray, Hydra, MLflow Bonus if you have publications (NeurIPS, ICLR, ICML, AAMAS) or domain experience in drug discovery, materials, quantum control, chip design Open source contributions to AI research or tooling Experience optimizing large scale models for inference and deployment. What We Offer Work on world class AI Quantum systems that push scientific and industrial boundaries Access to one of the country's most advanced quantum systems + top tier GPU/HPC infrastructure Ownership and flexibility, define your research direction and release real world impact Competitive package with performance bonus and ESOPs Collaborative, knowledge sharing culture with industry leading experts If you fit the qualifications and are passionate about pushing the frontier of AI + Quantum, we’d love to hear from you! Know someone perfect for this? Tag them or share this post in your network we’re building something extraordinary together

Position: Threat Hunter SOC SME Work experience: 8-12 years (Full time) Job location: Mumbai Education : BE/BSC(Comp/IT) MCA ; MTech Comp/IT) Primary Responsibilities Advanced Cyber Analytics, Proactively drive hunting and analysis against the dataset available for customers Work with our security operations center (SOC) and take the lead role in threat detection and incident response activities Leverage internal and external resources to research threats, vulnerabilities, and intelligence on various attackers and attack infrastructure Use Big Data Analytics platform to identify threats, determine root cause, scope, and severity of each and compile/report findings Work with Threat Intelligence and Malware solutions to identify threats, develop or recommend countermeasures, and perform advanced network and host analysis in the event of a compromise Leveraging tactical and technical intelligence for eradication of threats Characterize suspicious binaries and be able identify traits, C2, and develop network and host-based IOCs Identify potential malicious activity from memory dumps, logs, and packet captures Through review and analysis of cyber threats, provide both internal & external parties key information to respond to threat Participate as part of a close team of technical specialists on coordinated responses and subsequent remediation of security incidents Interface with customers on a daily basis to consult with them on best security practices and help them mature their security posture Create Threat Models based on Mitre ATT&CK framework and cyber kill chain for customers Linking of threat models with SIEM use cases and hunting exercises Basic Malware Analysis Work with SOAR platforms to generate and configure orchestration workflows and responses Technical Skills Advanced operational experience as a Cyber Threat Hunter Experience of current threats, vulnerabilities, and attack trends Critical thinking and problem solving skills Experience with SIEM (Qradar/ Securonix/ Palo Alto), BIG data platforms, Threat Intelligence solutions (Recorded Future/ Cyble/ Fortirecon) Familiarity with netflow data, packet analysis and operating system knowledge Certifications like GCIA or GCIH, CTIA etc will be given preference SIEM, EDR, SOAR, MITRE ATT&CK ; Cyber Threat Hunter Research threats, vulnerabilities, and intelligence on various attackers and attack infrastructure

Exp: 4+ yrs Location: Pune Immediate to 15 Days About the Role Job Description: Responsibilities Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, or a related discipline. Data visualization best practices. Proven experience in developing advanced dashboards and performing data analysis. Ability to create clear, intuitive, and impactful visualizations (charts, graphs, tables, KPIs) that effectively communicate insights. Extensive experience with AWS QuickSight (or similar BI tool): Hands-on experience in building, publishing, and maintaining interactive dashboards and reports. QuickSight data sources: Experience connecting QuickSight to various data sources, especially those common in AWS environments (e.g., S3, Redshift, Athena, RDS, Glue). QuickSight dataset creation and management: Proficiency in creating, transforming, and optimizing datasets within QuickSight, including calculated fields, parameters, and filters. Performance optimization: Knowledge of how to optimize QuickSight dashboards and data for speed and scalability. Qualifications Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, or a related discipline. Required Skills Data visualization best practices. Proven experience in developing advanced dashboards and performing data analysis. Ability to create clear, intuitive, and impactful visualizations (charts, graphs, tables, KPIs) that effectively communicate insights. Extensive experience with AWS QuickSight (or similar BI tool). Hands-on experience in building, publishing, and maintaining interactive dashboards and reports. Experience connecting QuickSight to various data sources. Proficiency in creating, transforming, and optimizing datasets within QuickSight. Knowledge of how to optimize QuickSight dashboards and data for speed and scalability. Preferred Skills Experience with AWS environments (e.g., S3, Redshift, Athena, RDS, Glue).

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way. Responsibilities Job Description Set Research Direction: Define and execute a forward-looking ML research agenda aligned with company strategy and business objectives and technological innovation. Drive Key Research in relevant areas of Sprinklr: Self-learning AI Agents, Auto Evaluation of AI Agents, Taxonomy discovery and quality, End-to-end voice models, Multi-linguality, Multi-modality, Domain-Specific finetuning and alignment, etc. Advance the State of the Art: Guide research initiatives in areas such as deep learning, generative models, NLP, and reinforcement learning. Encourage and support filing patents and publications in top-tier venues (NeurIPS, ICML, ACL, CVPR, IEEE etc.). Bridge Research and Product: Collaborate with engineering and product teams to transition research into real-world applications. Champion best practices in experimentation, reproducibility, and scalability. Lead and Grow the Team: Mentor and manage a high-performing team of ML researchers and engineers. Foster a culture of curiosity, rigor, and excellence. Act as a Thought Leader: Stay ahead of emerging trends and shape the company's position in the global AI landscape. Evangelism: Serve as a subject matter expert internally and externally. Represent the company in academic and industry events, talks, and panels. Qualifications Deep expertise in modern ML techniques, especially large-scale learning, generative models, or foundational models. Experienced with synthetic dataset generation for production and quantization. PhD in Computer Science, Machine Learning, or a related field. 8+ years of experience in ML/AI, including 4+ years in a leadership role. Proven track record of impactful research contributions, including publications, patents, or open-source work. Strong knowledge of cloud platform technologies and MLops tools such as CUDA, K8s, Docker, PyTorch, TensorRT, etc. Strong leadership and communication skills, with experience managing senior researchers and cross-functional collaboration. Ability to align research investments with business strategy and measurable outcomes. Why You'll Love Sprinklr: We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law.

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way. Job Description Responsibilities Set Research Direction: Define and execute a forward-looking ML research agenda aligned with company strategy and business objectives and technological innovation. Drive Key Research in relevant areas of Sprinklr: Self-learning AI Agents, Auto Evaluation of AI Agents, Taxonomy discovery and quality, End-to-end voice models, Multi-linguality, Multi-modality, Domain-Specific finetuning and alignment, etc. Advance the State of the Art: Guide research initiatives in areas such as deep learning, generative models, NLP, and reinforcement learning. Encourage and support filing patents and publications in top-tier venues (NeurIPS, ICML, ACL, CVPR, IEEE etc.). Bridge Research and Product: Collaborate with engineering and product teams to transition research into real-world applications. Champion best practices in experimentation, reproducibility, and scalability. Lead and Grow the Team: Mentor and manage a high-performing team of ML researchers and engineers. Foster a culture of curiosity, rigor, and excellence. Act as a Thought Leader: Stay ahead of emerging trends and shape the company's position in the global AI landscape. Evangelism: Serve as a subject matter expert internally and externally. Represent the company in academic and industry events, talks, and panels. Qualifications Deep expertise in modern ML techniques, especially large-scale learning, generative models, or foundational models. Experienced with synthetic dataset generation for production and quantization. PhD in Computer Science, Machine Learning, or a related field. 8+ years of experience in ML/AI, including 4+ years in a leadership role. Proven track record of impactful research contributions, including publications, patents, or open-source work. Strong knowledge of cloud platform technologies and MLops tools such as CUDA, K8s, Docker, PyTorch, TensorRT, etc. Strong leadership and communication skills, with experience managing senior researchers and cross-functional collaboration. Ability to align research investments with business strategy and measurable outcomes. Why You'll Love Sprinklr: We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law.

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc. About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality Why Join Us? We are one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research. What does day-to-day look like : Analyze and triage GitHub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects. Required Skills: Minimum 5+ years of overall experience Strong experience with at least one of the following languages: Python Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus. Nice to Have: Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Mandatory Skills: 3 - 4+ years of relevant software development experience. Python - min 3+ yrs of exp This is a short term remote contract opportunity that requires working at least 40 hours in week the US Pacific Time Zone. If this role suits you, please email your resume to admin@amrapali.org.in. kindly mention your current CTC, expected CTC and Notice Period in your email.

Sr. SW Engineer – Ruby (LLM Evaluation & Repository Validation) About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc. About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality What does day-to-day look like : Analyze and triage GitHub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects. Required Skills: Minimum 5+ years of overall experience Strong experience with at least one of the following languages: Ruby Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus. Nice to Have: Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Mandatory Skills 3 - 4+ years of relevant software development experience. Ruby - min 3+ yrs exp This is a short term remote contract opportunity that requires working at least 20 to 40 hours (part time/ full time) in week the US Pacific Time Zone. If this role suits you, please email your resume to sandesh@amrapalisolutions.in. kindly mention your current CTC, expected CTC and Notice Period in your email

Experience Level : 3–5 Years Location : Bengaluru, India About The Role We are looking for a driven and experienced Machine Learning Engineer to join our team and help push the boundaries of what’s possible with Large Language Models (LLMs) and intelligent agents. This is a hands-on role for someone with a strong background in LLM tooling, evaluation, and data engineering, and a deep appreciation for building reusable, scalable, and open solutions. You’ll work across the stack—from agent and tool design, model evaluation, and dataset construction to serving infrastructure and fine-tuning pipelines. We're especially excited about candidates who have made meaningful contributions to open-source LLM/AI infrastructure and want to build foundational systems used by others across the ecosystem. Key Responsibilities Design, build, and iterate on LLM-powered agents and tools, from prototypes to production. Develop robust evaluation frameworks, benchmark suites, and tools to systematically test LLM behaviors. Construct custom evaluation datasets, both synthetic and real-world, to validate model outputs at scale. Build scalable, production-grade data pipelines using Apache Spark or similar frameworks. Work on fine-tuning and training workflows for open-source and proprietary LLMs. Integrate and optimize inference using platforms like vLLM, llama.cpp, and related systems. Contribute to the development of applications, emphasizing composability, traceability, and modularity. Actively participate in and contribute to open-source projects within the LLM/agent ecosystem. Requirements Must-Have Skills: 3–5 years of experience in machine learning, with a strong focus on LLMs, agent design, or tool building. Demonstrable experience building LLM-based agents, including tool usage, planning, and memory systems. Proficiency in designing and implementing evaluation frameworks, metrics, and pipelines. Strong data engineering background, with hands-on experience in Apache Spark, Airflow, or similar tools. Familiarity with serving and inference systems like vLLM, llama.cpp, or TensorRT-LLM. Deep understanding of building componentized ML systems. Open-Source Contributions Proven track record of contributing to open-source repositories related to LLMs, agent frameworks, evaluation tools, or model training. Experience maintaining your own open-source libraries or tooling is a major plus. Strong Git/GitHub practices, code documentation, and collaborative PR workflows. You’ll be expected to build tools, frameworks, or agents that may be released back to the community when possible. Nice-to-Have Familiarity with LLM orchestration frameworks like LangChain, CrewAI/AutoGen, Haystack, or DSPy. Experience training or fine-tuning models using LoRA, PEFT, or full-scale distributed training. Experience deploying LLM applications at scale in cloud or containerized environments (e.g., AWS, Kubernetes, Docker). What We Offer The opportunity to work on state-of-the-art LLM and agent technologies. Encouragement and support for open-source contributions as part of your day-to-day. A fast-paced, collaborative, and research-focused environment. Influence over architectural decisions in a rapidly evolving space. To Apply Please submit your resume and links to your GitHub, open-source projects, or public technical writing (blog posts, talks, etc.)

Company Description Metronis is focused on building the future of AI assurance by providing a comprehensive platform for evaluating AI systems for reliability, ethics, and regulatory compliance. The platform features tools like the AutoEval Agent, Model-Agnostic SDK, Eval Diff & Diff Engine, Scenario Simulator, EvalGPT, Integrated Safety & Compliance, and Eval Dataset Network to ensure rigorous and trustworthy evaluations. Role Description This is a contract hybrid role for a Machine Learning Researcher located in Bengaluru with some work from home flexibility. The Machine Learning Researcher will be responsible for conducting pattern recognition, computer science, statistics, programming, and neural networks research, and implementing these findings in AI evaluation processes. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Programming skills Statistics knowledge Experience with AI evaluation processes Strong analytical and problem-solving skills Ability to work collaboratively in a team setting Master's or Ph.D. in Computer Science, Statistics, or related field

Job Title: Security Researcher - EDR About Trellix: Trellix, the trusted CISO ally, is redefining the future of cybersecurity and soulful work. Our comprehensive, GenAI-powered platform helps organizations confronted by today’s most advanced threats gain confidence in the protection and resilience of their operations. Along with an extensive partner ecosystem, we accelerate technology innovation through artificial intelligence, automation, and analytics to empower over 53,000 customers with responsibly architected security solutions. We also recognize the importance of closing the 4-million-person cybersecurity talent gap. We aim to create a home for anyone seeking a meaningful future in cybersecurity and look for candidates across industries to join us in soulful work. More at https://www.trellix.com/. Role Overview: We are looking for a skilled EDR Security Researcher. Your primary responsibility will be to evaluate and improve our EDR product's detection capabilities by identifying detection coverage gaps and developing signatures to address these gaps effectively. About the role: Reverse engineer malware to identify malicious code, obfuscation techniques, and communication protocols. Author detection rules for behavior-based detection engines. Conduct deep research on attacker campaigns and techniques to support detection investments and improve customer experience. Write generic threat detections based on static and dynamic detection engines. Demonstrate a strong understanding of cybersecurity threats, attack techniques, and the MITRE ATT&CK framework. Conduct proactive and reactive threat hunting and identify detection issues such as misses or misclassifications from a large-scale dataset. Respond to escalations to resolve detection effectiveness issues (misclassifications, false positives, and false negatives). Engage and collaborate with diverse partner teams to drive great customer experiences and ensure holistic protection. Develop alerting, reporting, and automated detection solutions. Build tools and automation to improve productivity. About you: 3+ years of experience writing detection using Snort, Yara, Sandbox, or proprietary detection engines. 2+ years of experience performing threat hunting or deep familiarity with incident response procedures, processes, and tools. 2+ years of experience querying and analyzing (for malware/TTPs) large datasets. Experience in programming or scripting languages (e.g., Python, PowerShell). Experience in utilizing various malware analysis tools and frameworks (e.g., IDA Pro). Experience performing detection engineering across multiple operating systems, including Windows, Linux, and macOS. Excellent verbal and written communication skills in English. Company Benefits and Perks: We work hard to embrace diversity and inclusion and encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement We're serious about our commitment to diversity which is why we prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Job Summary We are seeking a results-oriented Lead, Sales Operations focused on the Middle of Funnel processes and systems that span Global Sales. In this critical role, your responsibilities will range across a variety of strategic initiatives including building GTM processes while working with multiple senior level stakeholders, optimizing to solve obstacles in the sales process, analyzing inefficient business processes and analyzing sales/consumption data to come up with improved and streamlined GTM solutions. This role sits within the global Core Sales Operations team, which is accountable for lead-to-revenue processes and systems at MongoDB, your contributions to this team will be instrumental in shaping the future of the go-to-market organization. Responsibilities Collabore with Sales Operations and various Sales teams to own improving middle of funnel sales processes (pipeline, forecasting, opportunity management, approval workflows, splits, commissions, partnership workflows) Work closely with multiple stakeholders across Sales, Deal Strategy, Compensation Strategy team, Sales Performance, Strategy & Planning and CRM Technology teams to align on process improvements and deliver effective, scalable solutions. Drive cross-functional collaboration to implement these changes and ensure they deliver value to business Develop a deep understanding of the sellers journey, sales process, opportunity management, compensation structures, full global end-to-end quote and booking process, partner ecosystem and the integration of GTM tools (including CRM, Xactly, Boostup) and ensure alignment and effectiveness of GTM systems to support the GTM strategy and drive revenue growth Ability to analyze the complex dataset and current sales process workflows to come up with overall business impact and derive improved solution design for GTM Efficiently manage and prioritize projects and the requirements, ensuring alignment with broader business objectives and timely resolution of issues. Coordinate with relevant stakeholders to maintain focus on high-impact initiatives Understand compensation, forecasting models, and consumption based booking data models and identify key bottlenecks and opportunities for improvement Support the Sales team to address their questions & issues, gather feedback, and provide resolution and insights Cultivate and maintain strong relationships with key stakeholders across departments to ensure alignment on objectives, priorities, and outcomes. Act as a trusted point of contact for any questions or concerns related to GTM processes, compensation or CRM tools Manage and mentor the team overseeing Order Operations, Provide feedback, professional development, and ongoing support for team members Monitor and evaluate operational processes, identify areas for improvement, and implement solutions Requirements Bachelor's degree required in Operations/Business/Project Management or Engineering ~7 years Experience in Sales Operations/Revenue Operations Experience in managing a team, JD creation, R&R and feedback Experience of working in fast paced environments Project & Process Management: Proven ability to manage and lead projects effectively and produce comprehensive documentation Demonstrates agility and flexibility in responding to evolving business priorities Ability to understand & create business processes through workflow diagrams and translate them into actionable solutions Technical Skills: Proficient with Salesforce.com, with a strong understanding of Bookings & Opportunities, Quote-to-Cash processes, Quota/Comp Split management, Crediting, and Partner management Strong experience with consumption-based models (pay as you go) and the ability to work with complex data structures to track the customer consumption patterns, issues and do impact analysis Hands-on experience on working with large datasets to do analysis to find issues and quantify impact Experience in SQL/SOQL is preferred. A strong understanding of the Sales processes, with a commitment to leveraging stakeholder feedback to enhance business processes and operations A strong understanding of operational processes and finding areas for improvement, and implementing solutions To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Requisition ID 2263184674

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Principal Consultant, Power BI Developer In this role, you will be responsible for coding, testing, and delivering high quality deliverables, and should be willing to learn new technologies. Responsibilities Understand fundamentals of data preparation/data modelling necessary for visualization purposes. Gather reporting requirements from various stakeholders, architect the solution/report, Understand/analyze the source data and deliver the reports in timely manner Strong expertise in Designing intuitive and interactive reports and dashboards using Power BI for data driven decisions. Performance Monitoring, fine-tuning and optimization of dashboards Knowledge on connecting to multiple data sources through Power BI is required. Experience in publishing and sharing the dashboards, scheduling data refreshes. Should have handled complexity around visualization or data. Should have strong SQL skills, preferably over SQL Server. Strong Data Warehousing and Business Intelligence concepts. Experience on any ETL tool preferably SSIS is a plus. Interpret written business requirements and technical specification documents Strong understanding of Power BI user and group security configuration Qualifications we seek in you! Minimum Qualifications BE/B Tech/MCA Excellent written and verbal communication skills Preferred Qualifications/ Skills Good conceptual knowledge and experience in other BI tools is an added advantage. Experienced Power BI developer including experience in Azure environment. Experience required in implementing Power BI reports reading data from different data sources including on premise data servers, cloud services and several file format. Experience in creating Reports, Dashboard and visualizations in PowerBI Competent with Power BI Desktop, Gateway, Service and Report Server. Good Experience in Paginated Reports using Report Builder. Experience in migrating SSRS reports/Tabular reports to Power BI Paginated Reports. Good understanding of Power Query M and hands-on experience in building sophisticated DAX queries Experience in implementing static and dynamic Row Level Security, extensive experience with Dataset design, Data Cleansing and Data Aggregation Understanding of relational database structures, theories, principles, and practices Solid SQL reporting skills with the ability to create SQL views and write SQL queries to build custom datasets for reporting or analysis Able to nurture robust working relationships with the team, peers and clients, scheduling flexibility required. Overall candidate should have problem solving, macro-level research and analytics approach and good in numbers. Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Principal Consultant Primary Location India-Bangalore Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jul 4, 2025, 6:18:51 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

Position: Content Analyst - ESG (Japanese Analyst) Job description: Project Summary and Position Overview: Environment, Social and Corporate Governance team (ESG) provides integrated financial and extra-financial information, which is essential for understanding the long-term performance and risk profile of major corporations, reporting majorly in Japanese Language. A Content Analyst must research on the documents relating to the company and collect the Environmental and Social data from the sourced documents. They should also handle Queries pertaining to team and provide expert advice on specific content knowledge relating to quality concepts and techniques in order to drive improvement activities within the content collection team and quality & service groups. Their responsibility also includes to deliver on all tasks as per the strategic plans set for the ESG team. Also must have hands on experience with the database and should be able to handle database queries independently. Proud to share LSEG in the India is Great Place to Work certified (Jun ’25 – Jun ’26). Learn more about life and purpose of our company directly from India colleagues’ video: Bengaluru, India | Where We Work | LSEG Essential Day-to-Day Responsibilities: To be responsible for database administration and sourcing of exchange and contributed data in Japanese & English To be up to date with the latest collection policies and procedures and other significant developments pertaining to different markets which would impact data collection To assist in projects with emphasis on data content. To review the work of the analyst/data provider. Take responsibility for data quality, accuracy, timeliness and completeness within the team. To take on the responsibility of resolving client queries in a timely manner, with very high standards of quality of response and customer satisfaction. Should be able to take right decisions quickly and independently. To coach analysts on data collection policies and procedures. To continuously find ways to improve quality and reduce number of service requests from clients and to help meet Service targets. To continuously suggest improvement ideas on collection tools, internal processes and should suggest permanent fixes as well as on-going actions for preventing client queries. To carry out special projects or specialized tasks related to the ESG dataset as per the strategic plans. To effectively collaborate with all distributed team and the data provider to deliver high quality data to our clients. Cultivate a learning and positive work environment. Use appropriate language skills to understand and source ESG information Use technical and financial knowledge to contribute to current data offering Seek efficiencies in work practices to achieve automation Liaise directly with internal and external clients Education: Bachelor's Degree or equivalent experience or Master’s degree Language: Excellent reading, writing and spoken English skill Excellent reading and writing Japanese skill Required Skills: Communication, Collaboration and Analytical skills. Researching on Company website, Filings to understand the reports and to be able to accurate identify the data to be captured. Should have the curiosity to learn and know more on the content. Should have reading comprehension skills to read the paragraphs and dotted lines in the report. High accountability & responsibility Ability to work both independently and as part of a team Flexible and able to work under stress while managing multiple tasks Self-motivated even when attending to routine tasks Innovative and analytical towards processes and working environment Deliver on time Desired Skills: A great teammate who will work with others in order to get the job done Customer focused Able to adapt to changing needs and requirements Ability to work with different personalities and groups Focused on problem solving Attention to detail Interested in sustainable development Should be proficient in using MS-Excel LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject . If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Proud to share LSEG in the India is Great Place to Work certified (Jun ’25 – Jun ’26). Learn more about life and purpose of our company directly from India colleagues’ video: Bengaluru, India | Where We Work | LSEG The vertical is basically responsible for providing financial and non-financial information to the clients on companies across the globe. Environment, Social and Corporate Governance team (ESG) provides integrated financial and extra-financial information, which is essential for understanding the long-term performance and risk profile of major corporations. A Content Analyst must research on the documents relating to the company and collect the Environmental and Social data from the sourced documents. They should also handle Queries pertaining to team and provide expert advice on specific content knowledge relating to quality concepts and techniques in order to drive improvement activities within the content collection team and quality & service groups. Their responsibility also includes to deliver on all tasks as per the strategic plans set for the ESG team. Also, must have hands on experience with the database and should be able to handle database queries independently. ESSENTIAL RESPONSIBILITIES To be responsible for database administration and sourcing of exchange and contributed data. To be up to date with the latest collection policies and procedures and other significant developments pertaining to different markets which would impact data collection To assist in projects with emphasis on data content. To review the work of the analyst/data provider. • Take responsibility for data quality, accuracy, timeliness and completeness within the team. To take on the responsibility of resolving client queries in a timely manner, with very high standards of quality of response and customer satisfaction. Should be able to take right decisions quickly and independently. • • To coach analysts on data collection policies and procedures. To continuously find ways to improve quality and reduce number of service requests from clients and to help meet Service targets. To continuously suggest improvement ideas on collection tools, internal processes and should suggest permanent fixes as well as on-going actions for preventing client queries. • To carry out special projects or specialized tasks related to the ESG dataset as per the strategic plans. • To effectively collaborate with all global team and the data provider to provide high quality data to our clients. • Cultivate a learning and positive work environment SCOPE & IMPACT Researching on Company website, Filings to understand the reports and to be able to accurate identify the data to be captured. Accountable for the quality of own work, delivered within agreed time-frames and quality standards. Quality of work is reviewed by manager to ensure it is delivered within set parameters of timeliness, accuracy and completeness. Works independently within defined area, taking ownership of problems within own area of knowledge. Makes recommendations for process improvements to immediate manager. Decisions taken are made within guidelines set by others. Required Skills: Expert in Arabic language must be able to understand and update the ESG data as per policy. Communication, Collaboration and Analytical skills. Researching on Company website, Filings to understand the reports and to be able to accurate identify the data to be captured. Should have the Curiosity to learn and know more on the Content. Should have Reading Comprehension Skills to read the paragraphs and dotted lines in the report. • High Accountability & Responsibility • Should be proficient in using MS-Excel • Candidate should be open to work in shifts LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject . If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc. About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality What does day-to-day look like : Analyze and triage GitHub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects. Required Skills: Minimum 5+ years of overall experience Strong experience with at least one of the following languages: C++ / C# Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus. Nice to Have: Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Mandatory Skills 3 - 4+ years of relevant software development experience. C++ - min 3+ yrs of exp C # - min 3+ yrs of exp This is a short term remote contract opportunity that requires working at least 40 hours in week the US Pacific Time Zone. If this role suits you, please email your resume to sandesh@amrapalisolutions.in. kindly mention your current CTC, expected CTC and Notice Period in your email

Whether you’re at the start of your career or looking to discover your next adventure, your story begins here. At Citi, you’ll have the opportunity to expand your skills and make a difference at one of the world’s most global banks. We’re fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You’ll also have the chance to give back and make a positive impact where we live and work through volunteerism. Shape your Career with Citi Citi’s Risk Management organization oversees Citi’s risk governance framework and risk appetite, ensures all risks generated by the firm’s businesses are measured, reviewed, and monitored on an ongoing basis. We’re currently looking for a high caliber professional to join our team as Assistant Vice President, Market Risk Reporting - Hybrid (Internal Job Title: Assistant Vice President - C12) based in Mumbai, India . Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance: We believe all parents deserve time to adjust to parenthood and bond with the newest members of their families. That’s why in early 2020 we began rolling out our expanded Paid Parental Leave Policy to include Citi employees around the world. We empower our employees to manage their financial well-being and help them plan for the future. We have a variety of programs that help employees balance their work and life, including generous paid time off packages. Team/Role Overview The Rates & FX Market Risk Reporting team are responsible for the production of management reporting and dashboards, providing insightful analytics into the both the Rates & FX portfolios and performing the setup and monitoring of Market Risk Limits, on behalf of Global Rates & FX Market Risk Management. The successful candidate will join the team at an exciting time as the team are in the process of delivering on two transformation streams to improve data sourcing from front office platforms and to design and build self-service dashboards thereby transforming the production book of work. Responsibilities: Prepare and distribute risk content on various cadences, monitoring for significant moves / trends and working with the 1st and 2nd line to ensure accurate representation of the firm’s interest rate & FX market risk Perform analysis on the Rates & FX portfolios by reviewing standard risk measurement techniques such as VaR/ESF, Factor sensitivities, issuer risk monitoring and stress testing Work closely with risk managers to identify trends and emerging risks for the portfolio Active participant in Risks transformation book of work to improve controls, clean up the limits & trigger portfolio and enhance self-service dashboards Support all additional regulatory and internal reporting requirements Ensure a strong control environment is in place for all production deliverables through the execution of controls on the underlying dataset, leveraging automation wherever not already available Identification and management of data quality issues ensuring the appropriate representation in the data quality inventory and oversight of the issue, in collaboration with 1st and 2nd line teams and technology. Assist in the development and automation of risk reporting processes using the banks reporting toolset Tableau and Python Qualifications: 5-8 years of experience Experience in Market Risk Data with a sound understanding of interest rate & FX market risk metrics and financial products will be preferred Previous experience in risk management and/or regulatory reporting, data management. Clear and concise communication (verbal, written, and visual) and effective relational skills. Advanced quantitative/analytical skills, Data Architecture, Data warehouse Experience with tools such as Tableau, PowerBI, R, Python, SQL, SAS, Cognos Analytics, or other programs, indicating a progression in technical skills.Experience working with senior business stakeholders Ability to influence and drive users to adopt strategic solutions Education : Bachelor's/University degree or equivalent experience Certifications such as CPA, FRM or CFA are a plus. Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact. Take the next step in your career, apply for this role at Citi today https://jobs.citi.com/dei ------------------------------------------------------ Job Family Group: Risk Management ------------------------------------------------------ Job Family: Risk Reporting and Exposure Monitoring ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Analytical Thinking, Credible Challenge, Data Analysis, Governance, Management Reporting, Policy and Procedure, Policy and Regulation, Programming, Risk Controls and Monitors, Risk Identification and Assessment. ------------------------------------------------------ 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.

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Job Summary We are seeking a results-oriented Lead, Sales Operations focused on the Middle of Funnel processes and systems that span Global Sales. In this critical role, your responsibilities will range across a variety of strategic initiatives including building GTM processes while working with multiple senior level stakeholders, optimizing to solve obstacles in the sales process, analyzing inefficient business processes and analyzing sales/consumption data to come up with improved and streamlined GTM solutions. This role sits within the global Core Sales Operations team, which is accountable for lead-to-revenue processes and systems at MongoDB, your contributions to this team will be instrumental in shaping the future of the go-to-market organization. Responsibilities Collabore with Sales Operations and various Sales teams to own improving middle of funnel sales processes (pipeline, forecasting, opportunity management, approval workflows, splits, commissions, partnership workflows) Work closely with multiple stakeholders across Sales, Deal Strategy, Compensation Strategy team, Sales Performance, Strategy & Planning and CRM Technology teams to align on process improvements and deliver effective, scalable solutions. Drive cross-functional collaboration to implement these changes and ensure they deliver value to business Develop a deep understanding of the sellers journey, sales process, opportunity management, compensation structures, full global end-to-end quote and booking process, partner ecosystem and the integration of GTM tools (including CRM, Xactly, Boostup) and ensure alignment and effectiveness of GTM systems to support the GTM strategy and drive revenue growth Ability to analyze the complex dataset and current sales process workflows to come up with overall business impact and derive improved solution design for GTM Efficiently manage and prioritize projects and the requirements, ensuring alignment with broader business objectives and timely resolution of issues. Coordinate with relevant stakeholders to maintain focus on high-impact initiatives Understand compensation, forecasting models, and consumption based booking data models and identify key bottlenecks and opportunities for improvement Support the Sales team to address their questions & issues, gather feedback, and provide resolution and insights Cultivate and maintain strong relationships with key stakeholders across departments to ensure alignment on objectives, priorities, and outcomes. Act as a trusted point of contact for any questions or concerns related to GTM processes, compensation or CRM tools Manage and mentor the team overseeing Order Operations, Provide feedback, professional development, and ongoing support for team members Monitor and evaluate operational processes, identify areas for improvement, and implement solutions Requirements Bachelor’s degree required in Operations/Business/Project Management or Engineering ~7 years Experience in Sales Operations/Revenue Operations Experience in managing a team, JD creation, R&R and feedback Experience of working in fast paced environments Project & Process Management: Proven ability to manage and lead projects effectively and produce comprehensive documentation Demonstrates agility and flexibility in responding to evolving business priorities Ability to understand & create business processes through workflow diagrams and translate them into actionable solutions Technical Skills: Proficient with Salesforce.com, with a strong understanding of Bookings & Opportunities, Quote-to-Cash processes, Quota/Comp Split management, Crediting, and Partner management Strong experience with consumption-based models (pay as you go) and the ability to work with complex data structures to track the customer consumption patterns, issues and do impact analysis Hands-on experience on working with large datasets to do analysis to find issues and quantify impact Experience in SQL/SOQL is preferred. A strong understanding of the Sales processes, with a commitment to leveraging stakeholder feedback to enhance business processes and operations A strong understanding of operational processes and finding areas for improvement, and implementing solutions To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Requisition ID 2263184674

At Imrozo (Improve + Zoe; meaning Life in Greek), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused for delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We are seeking a highly motivated and experienced Business Analyst to join our growing team. In this role, you will be the critical link between our pharmaceutical commercial clients and our Project Analytics delivery teams, ensuring that our solutions effectively address their unique business needs and challenges. You will play a pivotal role in shaping the future of pharmaceutical commercial operations through technology. Key Responsibilities Client Engagement & Needs Assessment: Proactively engage with pharmaceutical commercial stakeholders (e.g., Sales, Marketing, Market Access, Commercial Operations, CRM teams) to understand their business processes, challenges, and strategic objectives. Conduct in-depth workshops, interviews, and data analysis to elicit, document, and prioritize business requirements for new software features, enhancements, and custom solutions. Translate complex business problems into clear, concise, and actionable functional and non-functional requirements. Requirements Management & Documentation Develop comprehensive documentation including Business Requirements Documents (BRDs), Functional Specification Documents (FSDs), Use Cases, User Stories, process flows, and wireframes. Utilize tools such as JIRA, Confluence, Azure DevOps, or similar for requirements management, traceability, and collaboration. Manage requirement changes throughout the software development lifecycle, ensuring proper version control and communication. Project Lifecycle Support Act as a subject matter expert during the development, testing, and deployment phases. Support Quality Assurance (QA) teams in developing test plans and validating that developed solutions meet business requirements. Assist in user acceptance testing (UAT) by providing guidance, clarifying requirements, and addressing user feedback. Contribute to training materials and user documentation. Market & Industry Insight Stay abreast of industry trends, regulatory changes (e.g., GxP, HIPAA, GDPR), and emerging technologies within the pharmaceutical commercial landscape. Proactively identify opportunities for process improvement and innovation within client organizations. Qualifications Bachelor's degree in Business Administration, Information Technology, Computer Science, or a related field. 4+ years of experience as Business Analyst, with a strong understanding of the life sciences and bio-pharma industry. Comfortable with commercial processes, data, analytics and pharma dataset (e.g. sales data from Iqvia, Symphony, Komodo, etc., CRM data from Veeva, OCE, etc.) Expertise in requirements gathering techniques (interviews, workshops, use cases, user stories) and proficiency in creating detailed documentation (BRDs, FSDs, process flows, wireframes). Proven experience working with clients in the Pharmaceutical Commercial domain (e.g., Sales Force Automation, CRM, Marketing Automation, Sales Operations, Incentive Compensation, Data Analytics for Commercial teams). Strong understanding of data warehousing, data mining, and data visualization tools. Expertise in advanced analytics techniques, including machine learning, artificial intelligence, and predictive modelling. Familiarity with Agile and Waterfall methodologies. Experience with requirements management tools (e.g. JIRA, Confluence, etc.). Awareness of programming languages such as R or Python; familiarity with SQL for database management; experience with data visualization tools like Tableau, PowerBI, etc., understanding of statistical modelling techniques. Conceptual understanding of cloud-based data platforms such as AWS, Azure, or Google Cloud. Knowledge of pharmaceutical or biotech industry regulations and compliance requirements like HIPAA, CCPA, SOC, etc. Excellent communication, presentation, and interpersonal skills, with the ability to effectively interact with both technical and non-technical stakeholders at all levels. Attention to details, biased for quality and client centricity. Ability to work independently and as part of a cross-functional team. Strong leadership, mentoring, and coaching skills. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge Analytics projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: agile methodologies,business analysis,documentation,analytics,data,cloud platforms (aws, azure, google cloud),machine learning,powerbi,data mining,azure devops,data visualization,client engagement,predictive modelling,confluence,jira,business requirements,life sciences,tableau,commercial,artificial intelligence,data warehousing,data analysis,hipaa compliance,operations,sql,crm,requirements gathering

Welcome to the Future of Procurement! Job Title: AI Engineer / Gen AI Executive Location: Ahmedabad Employment Type: Full-Time Experience Level: 3+ Years (Min 2 Year Experience in Gen AI Role) Salary Range: 40-45k/Per Month based on the overall experience and interview. Reports To: Product Lead About Us: We are a fast-growing B2B Procurement SaaS company redefining how enterprises manage their sourcing and spend. Innovation is in our DNA. As we expand our product footprint, we’re looking for experienced product professionals who can translate business needs into scalable solutions and drive product excellence. About the Role: We are seeking a solution-oriented AI Engineer who aspires to build, deploy, and optimize Generative AI solutions in a real-world SaaS environment. This role is ideal for someone with hands-on Python experience and a strong interest in Large Language Models (LLMs), prompt engineering, and AI system architecture. You will collaborate with cross-functional teams to translate business use cases into technical solutions, drive innovation, and ensure continuity of our AI initiatives. Key Responsibilities: Understand business requirements and convert them into technical solutions leveraging LLMs, ML models, and data pipelines. Design and implement scalable system architectures for AI-powered products and workflows. Develop, maintain, and enhance Python-based codebases, APIs (REST, WebSocket), and integration components . Craft, refine, and test prompts and configurations for LLMs , optimizing outputs for different use cases. Evaluate and recommend suitable models, frameworks, and tools aligned with project goals. Debug and resolve issues related to AI output, integration performance, or backend services. Connect with Generative AI APIs for different LLMs available in the market, push data, and retrieve responses as needed Oversee the data purification process, removing noise and preparing the final dataset for the AI use case. Work with SQL and NoSQL databases to support AI features and storage requirements. Collaborate proactively with product, engineering, and design teams to deliver solutions within defined timelines. Prepare comprehensive documents detailing the AI use case, including objectives, datasets, data update frequency, and data flow between the product and AI solution Education: · Bachelor’s or Master’s degree in Information Technology, Computer Science, Data Science, Artificial Intelligence, or a related field · Any specialized course in Generative AI or related field would be highly preferred Who Can Apply? · Proven experience in Generative AI and working with Large Language Models (LLMs). · Hands-on experience with the RAG approach and Fine-Tuning methods. · Proficient in Python and relevant libraries. · Basic knowledge of working with Vector Databases. Minimum Qualifications: Proficiency in Python for backend development and AI scripting. Knowledge of prompt engineering principles and best practices. Familiarity with LLM platforms and APIs (e.g., OpenAI, Anthropic, Cohere, Azure OpenAI) and how to choose/use them effectively for different use cases. Basic experience designing and consuming REST APIs and WebSockets . Understanding of system architecture concepts , including data flows, authentication, and scaling considerations. Experience working with SQL or NoSQL database . Ability to independently troubleshoot technical issues and propose solutions. Preferred Qualifications (Good to Have): Experience with cloud infrastructure (AWS, Azure, GCP) for AI workloads. Exposure to MLOps practices or automated model lifecycle management. Experience integrating AI outputs into production SaaS platforms . Soft Skills: Curious, self-driven learner who is excited to explore new models and frameworks. Strong analytical and problem-solving mindset . Ability to communicate effectively with technical and non-technical stakeholders. Comfortable balancing experimentation and delivery deadlines . Detail-oriented approach to crafting and refining prompts and configurations. Why Join Us? Be part of a Gen AI first SaaS company, redefining procurement automation for enterprise and mid-size customers. Your role will have a direct impact on strategic deliveries, AI innovation, and customer success . Work directly on end-to-end AI initiatives with clear business impact. Grow into a key technical owner of our AI landscape, backed by an experienced team. Continuous learning culture with support for certifications, experimentation, and personal growth. Join Us and Be Part of Something Innovative! At Mavenvista, we believe in pushing the boundaries of what's possible. If you’re ready to embark on a journey where your ideas are valued, and your contributions shape the future of procurement technology, apply today. Let’s innovate together !excellent verbal and written communication skills

Lead Assistant Manager EXL/LAM/1411156 EXL DigitalGurgaon Posted On 03 Jul 2025 End Date 17 Aug 2025 Required Experience 2 - 10 Years Basic Section Number Of Positions 2 Band B2 Band Name Lead Assistant Manager Cost Code G090140 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 1500000.0000 - 3000000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group EXL Digital Sub Group Insurance Organization EXL Digital LOB Digital SBU Digital Country India City Gurgaon Center IN Gurgaon C61 Skills Skill PYTHON SAS Minimum Qualification B.TECH/B.E Certification No data available Job Description We are currently seeking a talented Python Developer with a strong foundation in software development and a keen interest in artificial intelligence and machine learning. While AI/ML knowledge is not mandatory, it is considered an asset for this role. As a Python Developer at EXL you will have the opportunity to work on diverse projects and collaborate with cross-functional teams to deliver high-quality solutions. Responsibilities: Develop and maintain scalable and robust Python applications and services. Collaborate with software engineers, data scientists, and other stakeholders to integrate AI/ML components into software solutions. Assist in implementing AI/ML algorithms and models using Python-based libraries and frameworks. Participate in code reviews, testing, and debugging activities to ensure the quality and reliability of software products. Stay updated on emerging technologies and trends in AI/ML to contribute insights and ideas for enhancing our products and services. Work closely with data engineers to access, preprocess, and analyze data for AI/ML model development. Document code, processes, and best practices to facilitate knowledge sharing and collaboration within the team. Provide support and assistance to other team members as needed. Qualifications: Bachelor’s or master’s degree in computer science, Engineering, or related field. Strong proficiency in Python programming language. Familiarity with software development methodologies, tools, and best practices. Understanding of basic concepts in artificial intelligence and machine learning is good to have. Strong proficiency in python programming for ML development Hand on experience working with ML frameworks (Tensor, Scikit, etc.) Knowledge of Azure cloud and especially working with Azure ML studio and cognitive services. Knowledge on working with SQL, NO SQL Databases and REST APIs Knowledge on Azure OpenAI is good have and preferred. Dataset preparation and cleansing for model creation. Working knowledge of different types of data (structured, semi-structured, and unstructured) Expertise in python frameworks such as Fast API, Flask and Django. Working with huge data sets and data analysis with Pandas and NumPy Working with Python ORM Libraries Ability to handle large datasets. Ability to work independently and collaboratively in a fast-paced environment. Excellent problem-solving skills and attention to detail. Effective communication and interpersonal skills. While prior experience or knowledge in AI/ML is preferred, we welcome candidates who are passionate about learning and growing in this field. If you are a talented Python Developer looking to expand your skills and contribute to exciting projects, we encourage you to apply and join our dynamic team at EXL. Workflow Workflow Type L&S-DA-Consulting

Sr. Data Scientist JD.docx Job Title: Senior Data Scientist | Machine Learning Engineer (MLE) Job Location: [Mohali / Pune] Experience: 4+ years Skill Sets Expertise in ML/DL, model lifecycle management, and MLOps (MLflow, Kubeflow) Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face models Strong experience in NLP, fine-tuning transformer models, and dataset preparation Hands-on with cloud platforms (AWS, GCP, Azure) and scalable ML deployment (Sagemaker, Vertex AI) Experience in containerization (Docker, Kubernetes) and CI/CD pipelines Knowledge of distributed computing (Spark, Ray), vector databases (FAISS, Milvus), and model optimization (quantization, pruning) Familiarity with model evaluation, hyperparameter tuning, and model monitoring for drift detection Roles & Responsibilities Design and implement end-to-end ML pipelines from data ingestion to production Develop, fine-tune, and optimize ML models, ensuring high performance and scalability Compare and evaluate models using key metrics (F1-score, AUC-ROC, BLEU etc) Automate model retraining, monitoring, and drift detection Collaborate with engineering teams for seamless ML integration Mentor junior team members and enforce best practices

Qualifications: · Bachelor’s degree in Computer Science, IT, Data Science, or a related field · Strong communication and collaboration skills · Hands-on experience in Python, SQL, and ML libraries (preferred) · Proficient in MS Office and documentation Key Responsibilities: · Design and develop machine learning models for data annotation workflows · Work closely with the annotation team to build automated tools that support text, image, and video labeling · Train, validate, and fine-tune models for object detection, classification, and semantic segmentation · Process and interpret large-scale datasets, including point cloud data for real-time AI applications · Collaborate with data annotators and project managers to ensure annotated datasets are model-ready · Perform error analysis and improve model accuracy by incorporating feedback from annotation teams · Contribute to the development of internal AI tools for productivity and efficiency · Maintain clear documentation of model workflows, processes, and dataset handling protocols Preferred Skills: · Knowledge of machine learning and deep learning concepts · Familiarity with annotation platforms and tools like CVAT, Labelbox, or VGG Image Annotator · Experience with OpenCV, TensorFlow, PyTorch, or scikit-learn · Ability to write clean, modular code and work in a version-controlled environment (Git) Job Types: Full-time, Permanent, Fresher Pay: From ₹12,000.00 per month Benefits: Leave encashment Schedule: US shift Work Location: In person Speak with the employer +91 8110915564 Expected Start Date: 10/07/2025

About the projects : we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc. Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality Responsibilities : Analyze and triage GitHub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects. Required Skills: Minimum 5+ years of overall experience Strong experience with at least one of the following languages: C# Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus. Nice to Have: Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Offer details: Commitment required: 20 hours per week with some overlap with PST Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 3 months with expected start date as next week

Job Description: Position Title: Tier 1 Hosting Analyst Role Purpose As a part of the team, the Tier 1 Hosting Analyst partners with the Merkle business to make technology an asset for customers and employees, providing effective and timely solutions to technological requests and incidents. The Tier 1 Hosting Analyst should have previous experience with Helpdesk support and a strong drive to learn new Enterprise-class technologies. This role relies heavily on on-the-job training. The ideal candidate will thrive in a fast-paced environment and will possess the ability to self-start and logically prioritize workloads from multiple workstreams, while communicating progress or pitfalls. The candidate should be very detail-oriented with possession of advanced Excel skills as one of the primary responsibilities is to compile IT related financial data and communicate that out with accuracy. In addition, the ideal candidate should actively seek out new knowledge and skills, and will maintain consistent performance quality, avoiding repeat mistakes to learn and grow. Key Responsibilities: Responsible for monthly cost allocations for cloud environments to accurately distribute costs across the business based on standard operating procedures Update and conduct initial analyzation of IT cost center’s monthly financial dataset for internal management review Monitor and act on high-severity incidents and requests, meeting strict SLA/OLA requirements Escalate issues as defined in documented escalation procedures Follow incident/request management best practices Triage and support Windows and Linux server environments Provision/decommission servers following documented SOPs Process and troubleshoot access requests to various platforms through Active Directory and Okta Provide application support for Enterprise shared platforms (scheduling, managed file transfer, etc.) Perform server maintenance and patching both in-cycle and in response to urgent security vulnerabilities Continuously contribute to documentation in the Knowledge Base Consistently learn new systems and skills Uphold and promote dentsu’s core values and culture Other duties as required Key Skills and Experience: Analytical mindset, detail oriented Strong Excel experience with advanced functions with nesting in formulas (XLOOKUP, VLOOKUP, UNIQUE, SUMIF, IF(AND), MATCH(INDEX), etc.) Associates degree or higher in Information Technology, Computer Science, or related fields of study preferred 1 year of Helpdesk or customer service experience strongly preferred, bonus if ServiceNow was the ticketing platform used 1-3 years of experience with Enterprise technology support required, with a focus on Windows and Linux servers CompTIA A+, Security+, Network+, and AWS/GCP Cloud certifications preferred Basic understanding of Windows (Windows Server 2016 or higher) and Linux (RHEL/CentOS/Alma/etc.) Basic understanding of Enterprise data center concepts (server storage, networking, server administration) The ability to work independently with limited direct supervision, prioritizing tasks efficiently per established priority guidelines Exemplary etiquette with customers Clear English communication skills, both orally and in writing 24x7 Rotational shift. This is permanent role so end date is not applicable to this position. Location: DGS India - Mumbai - Thane Ashar IT Park Brand: Dentsu Time Type: Full time Contract Type: Permanent

Data Speacialist Mumbai, India Data Management 317479 Job Description About The Role: Grade Level (for internal use): 09 The Team: S&P Global is one of the leading providers of the ESG data for investors, corporates and other stakeholders. ESG creates Value for our Clients, Value to Investors in mitigating risk of long-term investments and Value to Corporates through long term financial performance. It focuses on collecting broad range of ESG data through a variety of company and governmental sources, to provide users with an in-depth, multi-faceted view into the nature and strength of a company’s resistance to changes in ESG components, liaise with various critical stakeholders in understanding and building the content set. This data is used by investors, asset managers and in S&P Global’s various divisions and products. The team is responsible for managing S&P Global’s proprietary database, comprising one of the world’s most complete datasets on corporate sustainability. The Impact: The selected candidate will contribute to the department’s & cluster’s success by making key decisions related to data, policies and projects. The selected candidate would get an opportunity to work in a competitive environment and interact with some of the most brilliant minds in the industry. What’s in it for you: Opportunity to learn and develop an understanding of ESG dataset specific to Environmental data. Exposure and opportunity to develop state-of-the-art data collection technology and tools. Opportunity to independently own, execute, and contribute to a wide range of business initiatives and projects Being a part of a team driven by organizational values of Excellence, Integrity, and Relevance This role provides a huge scope for learning and development and exploring a highly rewarding career path with room for professional growth. Responsibilities: Lead, manage and deliver on operations projects by doing research and feasibility study to drive internal efficiencies. Prepare project synopsis/completion reports to present them to senior stakeholders. Lead User Acceptance Testing for Environmental Data Collection and workflow Tools Generate new ideas to improve current processes and build governance models around the same. One stop solution for Environmental Data. Conducts trend analysis in data quality to identify specific improvement areas on human errors Work very closely with the team members and leaders to increase the knowledge of the team. Validating process SOP and workflow to ensure it is updated as per current procedure. Self-motivated, organized, detail-oriented, with a positive, “can do” attitude Qualifications: 3+ years professional work experience in the industry. A good understanding of financial markets and investing, as well as knowledge of some of the following sustainability areas that companies and financial institutions are involved in: ESG integration; green financing or sustainability index; environmental risk analysis; and reporting of investments in different asset classes and across company value chains. The candidate should be conscious of detail and numerically proficient with natural curiosity and an innovative approach to problem solving. Strong analytical skills and enthusiasm for digging into the details to define product use cases, capabilities, and impacts. Ability to juggle multiple priorities. Excellent communication and collaboration skills. Problem identification and problem-solving skills. Strong organization skills and ability to prioritize. 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: 317479 Posted On: 2025-07-07 Location: Mumbai, Maharashtra, India