Large Language Models Llms Jobs in Gurgaon

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

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

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

About Shiprocket: At Shiprocket, we are on a mission to make e-commerce simple, accessible, and trustworthy. We empower e-commerce sellers with AI-driven technology and reliable services, covering everything from conversion and order fulfillment to shipping, customer communication, and returns management. Our platform scales data, workflows, and supply chains, providing sellers with everything they need to deliver an exceptional customer experience. What It s Like to Work at Shiprocket: Our culture is built on the following principles: Key to True Innovation: We thrive under constraints and use them as opportunities to innovate. Speed Above All Else: We prioritize quick decision-making and actions that make the most impact. Be Ruthlessly Frugal: Efficient use of resources drives growth. Say It Like It Is: We value honesty and directness in communication. We re Not A Family, We re A Sports Team: We are here to win and accomplish great things together. Customer-First Mentality: Our focus is always on delivering outstanding experiences for our customers. Role Overview: Shiprocket s Engineering Team is focused on driving innovation and excellence within the e-commerce and logistics industries. We are dedicated to developing cutting-edge technology solutions that empower businesses to scale efficiently, optimize operations, and deliver outstanding customer experiences. With a focus on automation, data-driven decision-making, and seamless integrations, we aim to revolutionize how merchants, customers, and logistics providers interact. We are looking for a Data Analyst with 2-6 years of experience to help support our diverse business units (Finance, Product, Operations, Marketing, etc.) by leveraging insights derived from analyzing large datasets. The ideal candidate will be proficient in data mining, analytical methods, data tools, and model development and implementation. Roles and Responsibilities: Data Preparation & Analysis: Gather and analyze data to generate reports that provide actionable insights to business teams. Support the strategic planning of new AI or data-centric products. Insight Generation: Analyze key metrics and performance indicators to identify the root causes of inefficiencies or defects in processes, helping teams drive improvements. Collaboration with Business Teams: Collaborate proactively with various internal business teams to enhance project outcomes, focusing on optimizing resource utilization and ensuring timely completion. Report Creation: Build and maintain reports that communicate key findings and trends clearly to management, facilitating data-driven decision-making. Continuous Improvement: Recommend and implement improvements based on data insights, contributing to better operational efficiencies. Preferred Skills & Qualifications: Business & Statistical Acumen: Ability to translate business questions into statistical solutions and communicate insights effectively. Data Analytics Proficiency: Expertise in SQL, PL/SQL, BigQuery, and Snowflake. Experience in scripting languages like Python is highly desirable. Analytical Tools & Methodologies: Strong understanding of OLTP/OLAP databases, data analytics tools, and methodologies. Hands-on experience in data mining and statistical modeling. Data Visualization Skills: Experience with tools such as Metabase (preferred) and advanced Excel to present data insights in an accessible format. Cloud Services Knowledge: Familiarity with AWS services is a significant advantage. Problem-Solving: Proactive mindset with the ability to identify challenges and develop practical solutions to improve processes and drive business results. At Shiprocket, we offer a dynamic, fast-paced work environment where you ll have the opportunity to make a significant impact. You'll work alongside a talented team that embraces innovation, prioritizes customer satisfaction, and continuously pushes the envelope to redefine e-commerce logistics.

Principal Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 8-11 Years About FinBox FinBox is at the forefront of transforming the financial services industry with our innovative technologies. Since our inception in 2017, we have empowered lenders, such as Banks, NBFCs, and large enterprises, to build and launch credit products quickly within days rather than months or years. As a Series A funded company, we re expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build world-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set a new standard in digital finance. We've already helped our customers disburse billions of dollars in credit across unsecured and secured credit, including personal loans, working capital loans, business loans, mortgages, and education loans, impacting over 5 million customers every month. Why You Should Join FinBox: Innovative Environment: We cultivate creativity and experimentation. We want you to challenge the status quo and push boundaries in fintech. Impactful Work: Your contributions will have a direct, positive impact on millions of lives, making credit more accessible to individuals and businesses globally. Growth Opportunities: As a Series A-funded startup, FinBox provides tremendous opportunities for career development and professional growth. Collaborative Culture: Join a diverse, inclusive, and highly skilled team, all passionate about making a meaningful difference in the fintech world. Role Overview: As a Principal Data Scientist at FinBox, you will play a critical role in driving data science initiatives and shaping the direction of data-driven decision-making. You will leverage your deep expertise in machine learning and statistics to design and deploy predictive models, optimize algorithms, and lead experimentation processes that directly impact our products and business strategies. You will work closely with cross-functional teams to translate business requirements into data-driven solutions and collaborate on deploying models at scale. Key Responsibilities: Data Analytics & Insights: Analyze large, complex datasets to generate insights that drive business growth and measure the impact of business decisions. Model Development & Experimentation: Design, build, and deploy predictive models, using machine learning techniques such as regression, clustering, decision trees, and survival analysis. Algorithm Development: Optimize algorithms to process data efficiently, supporting better decision-making across the business. A/B Testing & Experimentation: Lead A/B testing and other experimentation methodologies to refine products and optimize business strategies. Data Visualization & Reporting: Create automated dashboards and reports using visualization tools like Tableau or Power BI to clearly communicate insights to stakeholders. End-to-End Data Processing: Manage the full lifecycle of data processing from gathering and cleaning data to creating models and deploying them in production. Stakeholder Collaboration: Collaborate with product, engineering, and business teams to translate business needs into data-driven solutions. Model Deployment: Ensure that machine learning models are effectively deployed at scale and optimized for real-time business applications. Who You Are: Experience: 8+ years of experience in data science, with a proven track record in the finance or fintech industry. Technical Expertise: Strong proficiency in Python, R, SQL, and Excel for data analysis, model development, and automation. Cloud & Version Control: Proficiency in AWS for cloud-based deployment and Git for version control. Advanced Data Science Skills: Expertise in statistical methods and machine learning techniques including regression, clustering, decision trees, bootstrapping, and survival analysis. Data Visualization: Extensive experience with data visualization tools like Tableau, Power BI, or open-source libraries (e.g., Matplotlib, Seaborn). Problem Solving & Communication: Strong problem-solving skills with the ability to distill complex models into actionable insights for business stakeholders. Deployment Experience: Experience in deploying and maintaining machine learning models at scale, focusing on automation, real-time analytics, and continuous improvement. Innovative Culture: Join a team that is dedicated to pushing the boundaries of what is possible in fintech, with an environment that fosters creativity and experimentation. Global Impact: Your work will directly influence the future of financial services, helping millions of customers access fair and accessible credit. Career Growth: As a growing startup, FinBox offers substantial opportunities for personal and professional growth. Collaborative Team: Work with a team of talented, driven professionals who believe in collaboration, inclusivity, and shared success.

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

We are looking for a blockchain developer who will be responsible for designing, implementing, and supporting a distributed blockchain-based network. Your primary responsibility will be analysing requirements, designing blockchain technology around a certain business model, and the building and launching of a blockchain network. Role And Responsibilities: Research, design, develop, and test blockchain technologies Brainstorm and help evaluate applications for new tools and technologies as they continually evolve Creating Smart Contracts Developing NFT marketplace Maintain and extend current client- and server-side applications responsible for integration and business logic Be involved in the global blockchain community work on implementing and integrating the latest improvement proposals Document new solutions as well as maintaining the existing ones Required Skills and Capabilities: Strong software development background Experience working with large codebases Experience working with open-source projects Proficiency in one of the following languages: C++, Java, JavaScript Strong knowledge of common algorithms and data structures Familiarity with basic cryptography Familiarity with P2P networks Strong knowledge of bitcoin-like blockchains Strong knowledge of concurrency and writing efficient and safe multi threaded code Strong knowledge of STL, C++11 Proficiency in the Qt Widgets module

We are looking for a highly skilled test automation engineer to design automation tests. Test automation engineers' duties include designing automation scripts and finding solutions for automation problems. Role And Responsibilities: Review and analyse requirements, specifications, and technical design documents, providing timely feedback Develop detailed, comprehensive, and well-structured test plans and test cases Executing regression and automation suite. Prioritize and plan testing activities Play the role of test engineer: Design, develop, and execute automated tests Identify and report issues found, then verify that issues are resolved Perform regression testing Required Skills and Capabilities: Expertise in Core JAVA, C# or Python and OOPS concepts Expertise in Automation using Selenium/UFT/Test Complete/Protractor etc. Knowledge of Web Service Rest API testing Hands-on Mobile Automation tools is an added advantage Excellent understanding of the Testing Lifecycle and the different types of testing such as Functional and Integration Testing Knowledge of the different life cycle development models and methodologies used to develop large software-intensive platforms Ability to understand existing Test Processes and Plans and identify improvements and efficiencies. Experience with virtualised products/services/solutions Proven work experience in software quality assurance Strong knowledge of software QA methodologies, tools, and processes Hands-on experience with automated testing tools A keen eye for detail and a commitment to excellence Be willing to help your teammates, share your knowledge with them, and learn from them Be open to receiving constructive feedback and turning it into process improvements

Manager, gTech Ads Location: Gurugram, Haryana, India Minimum Qualifications Bachelor s degree or equivalent practical experience 11+ years of experience in developing customer relationships and working with digital media or advertising/marketing solutions 5+ years of experience in team leadership, including mentoring and developing talent Preferred Qualifications Proven experience collaborating across organizational boundaries to align resources and strategies Familiarity with offline media, Brand Lift studies, and marketing measurement and attribution methods Strong understanding of media industry trends and challenges relevant to Google's strategic positioning Exceptional communication and problem-solving skills, with ability to present to executive audiences Skilled in using data and insights to drive business decisions and long-term strategy About the Role As a Manager in gTech Ads, you will lead a high-performing team that delivers media and technical services across Google s advertising products. Your team will work with clients ranging from small businesses to large enterprises, providing strategic guidance and tailored support that drives marketing success and ROI. You ll collaborate closely with Sales, Product, and Engineering to enhance support models and improve product experiences. gTech Ads is the bridge that connects Google s advertising innovation to practical value for customers through thoughtful service, operational excellence, and technical consulting. Your role will ensure that customer needs inform our solutions while growing the impact and capability of your team. Responsibilities Build and lead business strategy in collaboration with senior stakeholders across teams Oversee a team of digital media specialists focused on client success and campaign excellence Guide team performance through strategic mentorship and coaching Support individual growth through career development planning, skills training, and performance evaluation Use data insights to drive business decisions, improve support outcomes, and inform product improvements Qualification : Bachelors degree or equivalent practical experience

Key Responsibilities: Design and Architect technical solutions for business problems of large Digital Lending ecosystem. Write maintainable/scalable/efficient code. Partners with cross-functional experts (Product Management, Sales, Design etc) to determine customer-focused solutions. Leverage best practices, articulates ideas, & markets them across team and organization. Promotes a culture of continuous learning. Leads application/framework/service design efforts, optimizing for quality, testing, and scale. Communicates clearly with team and management to define & achieve goals. What you will need to succeed: B Tech/BE in Computer Science or equivalent engineering degree from reputed institutions. 5+ years of experience building large-scale Applications or Products. A Bring it On attitude; bias for action: self-driven, end-to-end ownership; entrepreneurial approach; Focus on operational excellence; Ability to work with Ambiguity. Strong in problem-solving skills, data structures, and Algorithms. Expert understanding of one of Language Java or Go or Scala. Worked with one of NoSQL Database Cassandra, Hbase, MongoDB. Experience with messaging systems - RabbitMQ or Kafka. Expertise with RDBMS - PostgreSQL, MySQL. Deep understanding of Microservice Based Architecture and Domain Driven Design. Good knowledge of AWS infrastructure EC2, Auto Scaling, RDS, ELB, S3, Kinesis. Qualification : B Tech/BE in Computer Science or equivalent engineering degree from reputed institutions.

Position: Advanced Data Analytics - Single Security (Credit Focus) Job Overview: At BlackRock, technology and innovation are essential to delivering world-class financial solutions. The Advanced Data Analytics team within Aladdin Financial Engineering (AFE) is focused on developing the next generation of data content and governance solutions for single security analysis, specifically in the Credit space. This role offers the opportunity to work with cutting-edge technologies to deliver impactful analytics in Mortgage, Structured & Credit Products. About Aladdin Financial Engineering (AFE): Join a team of over 300 modelers and technologists in AFE within BlackRock Solutions, responsible for research and development of Aladdin s financial models. AFE spans a wide range of financial products and provides investment insights to portfolio and risk management professionals. The models developed and supported by AFE cover equities, fixed income, commodities, derivatives, and private markets. Role Description: The Advanced Data Analytics team within AFE Single Security is responsible for building and maintaining data content in the Credit space. The team uses emerging technologies and statistical/mathematical methodologies to create predictive models and classification solutions. As a member of this team, you will focus on: Building and enhancing Credit Derived Data Content. Ensuring robust Model & Data Governance practices. Developing and maintaining Credit Model & Analytics solutions. Experience/Qualifications/Skills: Experience with Scala programming. Knowledge of ETL, data curation, and analytical jobs using distributed computing frameworks like Spark. Experience working with large enterprise databases such as Snowflake, Cassandra, and cloud-managed services like Dataproc and Databricks. Familiarity with financial instruments such as Corporate Bonds and Derivatives. Knowledge of regression methodologies and building tools for Data Governance. Python knowledge is a plus. Qualifications: Bachelor s or Master s degree in Computer Science, Math, Economics, or a related field. 3-6 years of relevant experience in data analytics and financial products. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model enables a culture of collaboration while offering flexibility. Employees are expected to work at least 4 days in the office per week, with the option to work from home 1 day a week. Certain business groups may require more time in the office due to their roles. About BlackRock: BlackRock is committed to helping people experience financial well-being. Our clients rely on our investment expertise to save for retirement, pay for education, and fund other life goals. By investing in our employees, we create a supportive environment where everyone can thrive professionally and personally, with ample opportunities for growth and development. Qualification : Bachelors/master's in computer science with a majorin Math, Econ, or related field

About the role: Global Sales Strategy & Operations (GSSO) is the team that helps shape Gartner's mission-critical sales priorities and works with sales leaders to drive tactical and analytical insights. As an associate on the GSSO team, you'll be at the forefront of the ongoing transformation of Gartner's sales force, which delivers approximately $4.9B in annual revenue and working to drive sustained double-digit growth. You will partner with business leaders across Gartner to support a global sales force comprised of more than 5,000 associates who sell to every major function, industry and market sector around the world. This role is part of the Territory Planning & Analytics (TP&A) team in GSSO. The TP&A team is focused on designing the optimal territory investment, design and alignment strategy to maximize Sales (and Services) productivity. The Principal Specialist will be joining the New Assignment Team. The primary objective of this team is to ensure that accounts are validated and routed to the appropriate sales representative based on secondary research into company firmographic data. The Principal Specialist is expected to partner with various key stakeholders like Marketing, Sales & Strategy Operation and Sales teams and improve their understanding of complex business problems from diverse perspectives. The individual will also be working on key initiatives, where they will be responsible for gathering business problems, seeking input from relevant stakeholders, and driving solutions. What you will do: Data Analysis and Reporting Support: Develop, track, and report various process metrics using MS Office tools, Power BI, Macros, etc. Ensure data integrity by identifying discrepancies and regularly updating datasets. Provide ad-hoc data requirements critical for business decisions. Manage data tools and internal applications including Anaplan, Excel, Power BI, CRM, etc. Business-Critical Account Assignment Operations: Support the leadership team in executing process changes and conducting related training sessions with the larger team. Drive high-complexity projects with minimal guidance. Independently own and execute assigned workstreams. Collaborate with leadership to establish and report performance goals that align with Sales & Strategy Operational goals. Develop and maintain tools, resources, and training materials, contributing to knowledge capture and documentation. Service Delivery: Understand key operational metrics of the account assignment process and support the team in delivering efficient and effective results. Understand sales and marketing strategies to assist with appropriate business decisions that drive team performance. Perform quality checks on account assignments based on defined routing logic and data sources, and identify improvement opportunities at both individual and process levels. Analyze the root cause of misassignments escalated by Sales or Marketing teams and problem-solve to ensure fixes. Communicate effectively and efficiently with Sales Managers and Sales Representatives, providing swift and accurate responses and resolutions. What you will need: An MBA or bachelor s degree with 4 years of experience. Relevant marketing/client management or service operations experience preferred. Strong Microsoft office skills, especially Excel and Power Point. Knowledge of Power BI/Macros is a plus. Proficient in English language and excellent in verbal and written communication A strong mix of Thought leadership and business acumen and demonstrated track record of delivering outstanding results. Must have continuous improvement mindset and experience in driving business critical initiatives in the current role. Must have the ability to work effectively and efficiently in a very fast-paced, deadline driven, fluid team environment. Ability to prioritize workload in order to manage time effectively, complete work within deadlines and produces accurate results. What you will get: Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) Collaborative, team-oriented culture that embraces diversity. Professional development and unlimited growth opportunities Qualification : An MBA or bachelors degree with 4 years of experience. Relevant marketing/client management or service operations experience preferred.

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

Position: Assistant Manager - Taxation Location: Gurgaon Work Experience: 5-7 years Education: B. Com with CA/CMA Job Purpose The Assistant Manager - Taxation will be responsible for assisting in the handling of Direct Tax processes and compliance, including Corporate Tax, International Transfer Pricing, Withholding Tax, and Payroll Taxation. The role also involves assisting in tax return filings, handling notices and assessments, and preparing responses for tax-related inquiries. Knowledge of Indirect Taxes (GST/Customs) and Secretarial Matters is a plus. Key Responsibilities Direct Taxation (Major Focus) Assist in managing Direct Tax processes, including Corporate Tax, International Transfer Pricing, Withholding Tax, and Payroll Taxation. Support in the preparation and filing of Corporate Tax Returns and Transfer Pricing Documentation. Assist in handling Direct Tax assessments, notices, and any related litigation (Corporate Tax/Transfer Pricing matters). Prepare necessary data, documents, and submissions for responding to tax notices and investigations. Digital Taxation Processes Focus on digitalization of tax processes, assisting in automating compliance and reporting wherever possible. Support with the implementation of tax technology tools and systems to streamline reporting and compliance. Additional Responsibilities Assist in handling Withholding Taxes/TDS and ensure proper filing and reporting. Knowledge of Indirect Taxes like GST and Customs, and Secretarial Matters will be an added advantage. Ensure compliance with local and international tax regulations. Key Competencies & Skills Strong communication skills to effectively liaise with internal and external stakeholders. Good analytical skills and attention to detail in managing tax data and documentation. Ability to handle complex tax matters, stay updated on tax regulations, and manage time-sensitive tasks. Desired Preferably from the Consumer Durable or FMCG industry background, with experience in handling corporate tax matters for large organizations. Qualification : B. Com with CA/CMA

Position: Alpha Gen Product Engineer Job Overview: At BlackRock, we are seeking Software Engineers who thrive in innovative environments and enjoy solving complex challenges. This is an opportunity to work with cutting-edge technology and impact the financial markets through our Aladdin investment operating system, which powers decision-making for thousands of users worldwide. The Alpha Gen Technology group (AGT) is focused on enabling market-leading performance for BlackRock's investment teams. Join a team of innovators to work on next-generation technology in the quantitative and investment space. About Aladdin and Aladdin Engineering: Aladdin is BlackRock s investment operating system, used by financial institutions worldwide. It integrates sophisticated risk analytics, portfolio management, trading, and operations tools into one platform. The Aladdin Engineering group develops and maintains this platform, building tools that manage trillions in assets and support millions of financial instruments. Your Role and Impact: As an Alpha Product Engineer in the Alpha Gen Platform team, you will develop a cloud-first platform used for both quantitative research and production systems. You will be involved in the full lifecycle of the platform, from design and architecture to development, implementation, production support, and maintenance. Your Responsibilities: Build a groundbreaking, high-quality Alpha Gen platform to meet the data and quantitative needs of research and production. Prototype new alpha-enabling technology. Migrate large amounts of critical data to cloud-native data stores like Snowflake and Azure Blob Storage. Understand and address scale challenges in data access and persistence in ingestion pipelines. Work with modern data lakes, structured file formats, containers, and orchestration ecosystems. Partner with other engineering teams at BlackRock to integrate with Aladdin. Qualifications and Skills: 8+ years of proven experience in software engineering. Excellent coding skills in Python; knowledge of Scala or Java is a plus. Experience with distributed technologies like Spark, Dask, or Kubernetes. Desire to build expertise in cloud-native technologies and applications deployed to cloud infrastructure. Familiarity with agile practices, test automation, pipelines, release management, and deployment strategies. Good understanding of the modern data ecosystem Snowflake, Apache Iceberg, Parquet formats, object stores (S3, Azure Blob Storage), and orchestration systems (Airflow, Prefect). A curiosity and passion to learn new technologies. Strong interpersonal skills to work effectively in a collaborative team environment. A deep understanding of the modern data and quantitative ecosystem. How to build a platform that enables alpha generation at scale. Experience with Aladdin the investment platform used to manage over $15 trillion in global assets. How to apply enterprise integration patterns and data science technology to enable alpha generation. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model supports collaboration while offering flexibility. Employees are required to work at least 4 days in the office per week, with the option to work from home 1 day a week. Some business groups may require more time in the office. About BlackRock: BlackRock is dedicated to helping people experience financial well-being. Our clients rely on us to support their financial goals, including saving for retirement, funding education, and growing their businesses. We invest in our employees by fostering an environment where they feel welcomed, valued, and supported with networks, benefits, and development opportunities to thrive.

About this role: Gartner s Secondary Research Service (SRS) team works closely with research practices to understand their overall research needs and help them with complex and strategic research projects. As a Market Research Specialist you will generate insights using both systematic and intuitive secondary research techniques to help larger analysts community. You will closely work with analysts to scope the project, device search strategy, analyze data, summarize, and help visualize and build data story. The job requires an open mind individual with a proactive approach, interest in learning about the latest technology trends and the ability to interpret information & apply this to solve research problem. What you will do: Conduct research on IT products and services using both systematic and intuitive secondary research techniques. Compare/benchmark different IT products by understanding online help, user guides, manuals, white papers, design/product specifications, project plan, etc. Analyze the research findings and draw inferences and conclusions to the research query Create, assimilate and convey technical material in a concise and effective manner Deliver projects on time and maintain high quality standards of the deliverables Actively participate in formal and in-formal knowledge sharing sessions, including Research Communities. Who you are: A team player with outstanding collaborative skills, and a self-starter with no-limits mindset and leadership quality. A go-getter who tackles business and technical challenges head on, with a research inclination Someone who values new environments and is sensitive to intercultural aspects while working in an international setting. What you will need: Management graduates preferably with 0-2 years of experience. (Post graduates with 0-1.5 years is a must and Bachelor's with 1.5-2years) Candidates with technical background or experience in IT industry. Eagerness to learn: Showing awareness of the major issues across the IT industry and eagerness to learn more Strong communication skills- verbal & written. Should structure all communication with meaning and flow with good command on English language Problem solving skills: Strong analytical skills and the ability to think independently Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we ve grown to more than 20,000 associates globally who support ~15,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work . Qualification : Post graduates with 0-1.5 years is a must and Bachelor's with 1.5-2years

Position: Manager Agency Relations Location: Gurgaon Experience: 4 6 years Industry: Internet / Digital Media Function: Sales & Business Development Employment Type: Full-Time Category: Enterprise & B2B Sales About the Role: We are looking for an experienced and well-connected Manager Agency Relations to lead strategic engagement with independent and B2B media agencies. The role focuses on expanding revenue through programmatic, display, and native advertising while embedding CyberMedia s programmatic offerings into agency solution portfolios. This position requires a strong hunter mindset, excellent relationship-building skills, and hands-on experience in managing key accounts and media agency ecosystems. Key Responsibilities: Drive Agency Partnerships: Identify, engage, and onboard independent and mid-sized media agencies to integrate CyberMedia s advertising solutions into their portfolios. Revenue Generation: Build and manage a robust pipeline of opportunities to consistently meet or exceed monthly and quarterly ad sales targets. Key Account Management: Manage and grow relationships with agency partners and direct corporate clients; ensure high levels of client satisfaction and repeat business. Sales Strategy & Execution: Independently develop, pitch, and implement customized ad sales strategies; align closely with internal product and operations teams. Programmatic & Native Sales: Sell digital media solutions including programmatic, display, and native advertising across CyberMedia s platforms. Agency Mapping & Relationship Management: Build strong networks within agencies, maintaining multi-level relationships to maximize penetration and influence. Market Insight & Reporting: Track industry trends, campaign performance, and feedback to iterate sales strategy and enhance product-market fit. Requirements & Qualifications: Education: Graduate in any discipline; MBA/PG preferred. Experience: 4 6 years of relevant experience in digital ad sales or media sales, preferably with exposure to programmatic advertising and native ad formats. Industry Contacts: Strong relationships with independent ad/media agencies and direct corporate clients. Sales Skills: Proven ability to build and close business, manage large accounts, and consistently achieve revenue goals. Communication: Excellent verbal and written communication skills; confident in delivering presentations and pitches. Mindset: Self-motivated, target-driven, and adaptable to a dynamic, fast-paced digital environment. Tools & Knowledge: Understanding of digital media buying/selling, ad tech landscape, and agency workflows. Be part of an established digital media company with a growing suite of programmatic solutions. Opportunity to take ownership of a key revenue channel with high visibility and impact. Dynamic work culture with room for innovation, creativity, and career progression. Qualification : Graduate in any discipline; MBA/PG preferred

Position: Market Research Analyst Location: Gurugram Experience: 2 5 Years Qualification: Any Graduate Working Days: 5 Days per Week Working Hours: 9 Hours per Day Job Overview: We are seeking an analytical and detail-oriented Market Research Analyst to support strategic decision-making by delivering actionable insights through market analysis, competitor research, data interpretation, and revenue optimization. The ideal candidate will have a strong grasp of research tools, excellent data handling capabilities, and a strategic mindset to support business growth. Key Responsibilities: Primary & Secondary Research Conduct in-depth primary and secondary research to gather insights on industry trends, consumer behavior, and market opportunities. Campaign & Data Analysis Analyze performance metrics from email marketing campaigns using Excel and Google Analytics. Track KPIs like open rates, click-through rates, and conversions. Segment audiences for personalized marketing and extract data-driven insights to enhance ROI. Competitor & Market Analysis Perform comprehensive competitor analysis, including product offerings, pricing, customer reviews, and market positioning. Use tools like SWOT analysis, market segmentation, and trend forecasting to inform strategic direction. Business Development Identify and assess new market opportunities, potential partnerships, and emerging trends to support the business development team. Contact Discovery Leverage tools like Hoovers, ZoomInfo, Lusha, LinkedIn Sales Navigator, Apollo, and more to identify and verify contact information for potential leads. Data Management Manage, cleanse, and validate datasets using Excel functions (VLOOKUP, Pivot Tables, etc.) to ensure data accuracy and relevance. Revenue Analysis Analyze revenue streams and apply market intelligence to support financial growth. Identify key performance drivers and align strategies to boost profitability. Cross-functional Collaboration Partner with marketing, sales, and strategy teams to align research efforts with business goals. Regulatory Awareness Monitor and analyze regulatory and policy changes impacting industry operations and business opportunities. Key Skills & Qualifications: Strong analytical and critical thinking skills. Hands-on experience with Excel, Google Analytics, and research platforms. Ability to manage, clean, and interpret large data sets. Familiarity with contact discovery tools and LinkedIn Sales Navigator. Working knowledge of market segmentation, competitor tracking, and KPI analysis. Excellent communication skills and cross-functional collaboration abilities. Highly organized with keen attention to detail. Qualification : Any Graduate and above

Account Executive Enterprise Software Sales (Gurgaon, India) Full-Time | India Gurgaon | Salesforce MuleSoft About the Role MuleSoft, a leader in enterprise integration and API management, is revolutionizing the way organizations connect data, applications, and devices. With over 1,200 global enterprise customers and a growing market, we re looking for a high-performing Account Executive based in Gurgaon, India, to drive growth and revenue across strategic accounts. As an Account Executive, you will take ownership of your territory, lead the end-to-end sales process, and deliver high-impact solutions that solve critical integration challenges for CIOs and business leaders. Key Responsibilities Own and execute the full sales cycle from prospecting to deal closure for enterprise-level software solutions Drive revenue growth by exceeding sales quotas and building a strong pipeline of opportunities Engage senior IT and business leaders in consultative, outcome-based sales conversations Develop and execute a go-to-market strategy for greenfield and existing accounts Collaborate with cross-functional teams including Sales Engineering, Marketing, and Customer Success Deliver long-term value to customers through API-led connectivity and digital transformation solutions Your First Year at MuleSoft Exceed your ramped annual quota and create a strong pipeline for long-term growth Develop deep expertise in MuleSoft s integration platform, sales methodology, and product ecosystem Partner with global Sales Enablement to complete onboarding and continuous training programs Gain exposure to complex, high-value enterprise deals and build trusted client relationships Join a collaborative, inclusive, and mission-driven team committed to customer success Requirements & Qualifications 7+ years of B2B technology sales experience, preferably in middleware, integration, or enterprise software Proven success in closing large enterprise deals valued at $500K+ Strong track record of selling to C-level executives, especially in the public sector in India Demonstrated experience building a business in greenfield territory Strong consultative sales skills with a focus on delivering strategic business outcomes Excellent communication, negotiation, and stakeholder management skills A collaborative, team-first mindset and a passion for solving complex business challenges Bachelor s degree or equivalent experience (including leadership, military, or volunteer roles) MuleSoft is a Salesforce company with a mission to empower organizations to innovate faster and integrate smarter. Our unified platform connects apps, data, and devices, making digital transformation simple and scalable. Companies like Spotify, McDonald s, and Unilever trust us to enhance agility and drive business success. At MuleSoft, people come first. We re committed to building an inclusive, high-performing workplace where every individual is supported and inspired to do their best work. We ve been recognized as a #1 Top Workplace in the Bay Area and a Best Place to Work for six consecutive years. Apply now to become a part of a visionary team that s redefining enterprise integration and shaping the future of connected business. Qualification : Bachelors degree or equivalent experience (including leadership, military, or volunteer roles)

Account Strategist, Mid-Market Sales Google Customer Solutions Location: Gurugram, Haryana, India Minimum Qualifications Bachelor s degree or equivalent practical experience. 2+ years of experience in business, advertising, or marketing. Preferred Qualifications Experience launching and managing paid digital advertising campaigns on Google Ads and other platforms. Strong skills in client success techniques, including effective questioning, objection handling, and engaged promoting. Experience working with channel business, advertisers, agencies, or clients. Ability to manage and prioritize a portfolio in an advertising or media business environment. Proven ability to achieve growth goals. Strong storytelling and narrative-building skills for client engagement. About the Role Google s advertising solutions empower businesses of all sizes to thrive in a dynamic marketing environment. As an Account Strategist within Google Customer Solutions, you will bring your passion for sales and deep knowledge of online media to help clients achieve their business objectives. You will act like an owner moving swiftly through change and applying innovative strategies to drive extraordinary outcomes for both Google and its customers. You will build trusted relationships, understand client business goals, improve campaign performance, and promote thoughtful adoption of Google products. Your ability to influence, manage partnerships, and analyze business needs will deliver successful outcomes, driving incremental business growth through Google s leading advertising solutions. Google Customer Solutions teams are trusted advisors focused on the success of small- and medium-sized businesses the backbone of our communities. This role offers a unique opportunity to make a real impact by helping businesses grow and thrive through digital innovation. Responsibilities Deliver quarterly business and product growth targets. Manage a portfolio of medium and large businesses, understanding growth drivers, identifying opportunities, managing risks, and building multi-quarter growth plans. Consult with clients to support annual digital marketing discussions and budget planning. Drive customer growth by providing outstanding business experience and meeting marketing objectives. Build and maintain strong stakeholder relationships with customers and agencies. Qualification : Bachelor's degree or equivalent practical experience.