1165 Probability Jobs - Page 19

🚨 Guest Faculty Positions | Department of Geoinformatics, NSUT (West Campus) 🚨 📍 Jafarpur, Delhi | Walk-in Interview | 7th July, 2025, 10.30 AM The Department of Geoinformatics (GI) at Netaji Subhas University of Technology (West Campus) Delhi invites applications from suitable candidates for Guest Faculty positions for the upcoming Even Semester (July–December 2025) . We are looking for dedicated and qualified professionals to teach the following tentative courses: Geographical Information System Programming, Data Structures, and Algorithms using Python Web Mapping and Web-GIS Database Management Systems Probability and Statistics Computer Networks Big Data Analytics Web Technology 🧑‍🏫 Responsibilities: Teaching assigned undergraduate courses Supporting academic and departmental activities 🎓 Qualifications: Preferably a Ph.D. in a relevant discipline 📅 Mode of Engagement: Walk-in Interview (7th July, 2025, Room 117, NSUT West Campus, Jafarpur, Delhi - 110073) 🟢 If you have expertise in any of the listed areas and a passion for teaching, we encourage you to apply! 📩 For more details, please visit the NSUT website. http://nsut.ac.in/en/jobs-nsut

Job Title: Model Risk Validation – Quantitative Modelling (Market/Credit/Derivatives) Location: EMEA Department: Enterprise Risk Management (ERM) Function: Model Risk Management (MRM) Role Overview The Enterprise Risk Management (ERM) function is responsible for supporting the EMEA Chief Risk Officer in maintaining a robust and effective risk governance framework. A key component of this framework is the Model Risk Management (MRM) team, which provides oversight, governance, and independent validation of quantitative models used across the region. MRM plays a critical role in ensuring the integrity and reliability of risk models that inform decision-making across asset classes and business lines, including environmental and social risk management. The team collaborates closely with Risk Analytics and Front Office quants to validate models used for risk measurement, pricing, and capital assessment. Key Responsibilities Lead and perform independent model validation (initial and periodic) for a wide range of quantitative models, including: Derivatives pricing models Market and counterparty credit risk models Capital models (economic and regulatory) AI/ML models and corporate credit risk models (IRB, PD/LGD/EAD) Develop and prototype challenger models to benchmark and stress-test existing models. Conduct rigorous quantitative reviews of model frameworks, underlying assumptions, input data, and performance results. Perform technical testing of numerical implementations and conduct thorough documentation reviews . Ensure regulatory compliance and adherence to internal model governance policies. Produce detailed validation reports highlighting findings and recommendations for model improvements . Monitor the remediation of validation findings , ensuring timely and effective resolution. Experience & Technical Competencies Essential: Prior experience in quantitative modelling , either in development or validation, with exposure to one or more of the following: Market risk models (e.g., VaR, stressed VaR, IRC) Counterparty credit risk (e.g., CVA, PFE, SA-CCR) Derivatives pricing and valuation Strong knowledge of mathematics, statistics, and probability theory as applied in finance. Proficient in Python or R ; hands-on experience with simulation, numerical methods, and statistical inference techniques. Solid understanding of financial instruments , valuation principles, and risk metrics. Preferred: Exposure to capital modelling (Basel regulations, ICAAP), credit risk models, or AI/ML model frameworks. Experience with C++, C#, or other compiled languages . Awareness of emerging trends in quantitative finance, regulatory changes, and advancements in risk modelling. Educational Qualifications A postgraduate degree (Master’s or Ph.D.) in a quantitative discipline such as: Mathematics Statistics Mathematical Finance Econometrics Physics or related fields.

About the Role We are looking for a highly motivated and analytical individual with an engineering background and strong mathematical foundations to join our team as a Data Analyst. The ideal candidate will have experience working with large datasets, deriving insights through root cause analysis (RCA), and enabling data-driven decision-making through predictive analytics and visualization tools. Location: PB Gurgaon Office Experience: 1–2 years Key Responsibilities ● Analyze large and complex datasets to identify trends, patterns, and root causes behind key business metrics. ● Develop and maintain dashboards and reports using Power BI or QuickSight. ● Perform exploratory data analysis and build predictive models to support business decisions. ● Work closely with cross-functional teams to translate business problems into analytical solutions. ● Drive fast, data-backed decisions using sound judgment and real-time analysis. ● Proactively identify data quality issues and work to resolve them. Required Skills ● Bachelor’s degree in Engineering (Computer Science, Math, or related fields preferred). ● Strong foundation in Mathematics, Probability, Linear Algebra, and Statistics Hands-on expertise in: SQL (Intermediate to Advanced) Microsoft Excel (Pivot Tables, Advanced Functions) Power BI or Amazon QuickSight (Data modeling, DAX, visual storytelling) Python (Pandas, NumPy, basic ML/EDA libraries) ● Strong analytical thinking and problem-solving attitude. ● Ability to work in fast-paced environments and make decisions quickly with limited information. ● Strong communication skills and a collaborative mindset. Good to Have ● Experience working on revenue maximization problems, pricing, or yield optimization. ● Basic knowledge of ML model building or forecasting techniques.

Reference 250003SW Responsibilities Familiarizing with data, to conceptualize its use. Transform data sets, quantitative and qualitative analysis into desired data requirements Reviewing the code to spot any potential issues, which might have probability of having cascading future effects like identify trends and patterns in the data or identify anomalies such as missing or incomplete values etc. Code automation, optimization and replacing referential user data with tech managed data platforms. Understand the purpose and liaising with the data consumers, for mutual use of data to reduce time to market. Recommending strategy through testing or exploratory data analysis Provides/proposes structured methods for data processing, provides analytical support to the conduct of complex exploration and analysis of data from different sources Formalize the procedures followed, documentation, presentations of work Use advanced systems and technologies integrated platforms, DataLake environment, operational best practices of the profession Required Profile required Hands on working experience in Python (3+ years) Should be familiar with data wrangling concepts like, cleaning, organizing, and transforming raw data into the desired format Experience working with Global Banks in their Risk & finance function Basic knowledge of programing languages like SQL,SAS, R etc. Dataiku knowledge would be an added advantage Should have good communication skills Why join us We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status”. Business insight At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us! Still hesitating? You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices and sharing their skills with charities. There are many ways to get involved. We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection. Diversity and Inclusion We are an equal opportunities employer and we are proud to make diversity a strength for our company. Societe Generale is committed to recognizing and promoting all talents , regardless of their beliefs, age, disability, parental status, ethnic origin, nationality, gender identity, sexual orientation, membership of a political, religious, trade union or minority organisation, or any other characteristic that could be subject to discrimination.

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We’re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX’s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter—with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Design and build robust, large-scale graph structures to model security entities, behaviors, and relationships. Develop and deploy scalable, production-grade AI/ML systems and intelligent agents for real-time threat detection, classification, and response. Collaborate closely with Security Research teams to integrate domain knowledge into data science workflows and enrich model development. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Work with large-scale graph data: create, query, and process it efficiently to extract insights and power models. Lead initiatives involving Graph ML, Generative AI, and agent-based systems, driving innovation across threat detection, risk propagation, and incident response. Collaborate closely with engineering and product teams to integrate solutions into production platforms. Mentor junior team members and contribute to strategic decisions around model architecture, evaluation, and deployment. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field 6+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn) Strong foundation in statistics, probability, and applied machine learning techniques Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Job Overview: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Wireless Connectivity Modem Systems Engineer, you will research, design, develop, verify, validate, and commercialize Wireless connectivity modem as a product or component within a product. Works on the implementation of a multi-RAT (Radio Access Technology) wireless connectivity modem from industry specifications (such as Bluetooth, UWB, IEEE 802.15.4, etc.). Has experience in the wireless connectivity specifications and can efficiently implement the shared resources of a multi-RAT modem. Works closely with other functional groups to develop a cost effective, high quality and high capability modem that meets industry and customer requirements with high performance (e.g., throughput, latency, power consumption) and acceptable cost (e.g., silicon area, calibration complexity, code size). Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Preferred Qualifications: Master's degree or PhD in Electrical Engineering, or related field . 4+ years of experience in at least one or more of the following areas: Communication theory, digital signal processing, information theory, channel coding, and probability and random processes. Strong analytical and problem-solving skills. Ability to program effectively in C/C++, Python and/or Matlab. 2+ years of experience working in a large matrixed organization. 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Sr. Staff level and above). Principal Duties and Responsibilities: Leverages and applies advanced modem knowledge (e.g., RF, baseband signal processing, communication protocols) and design methodology for areas within modem hardware, systems, or firmware to execute modem assignments; participates in and shares own perspective within domain of modem subject matter expertise in design reviews and project meetings. . Performs functional analysis to drive requirements and specifications and to define and align with standards for hardware and software. Develops and analyzes system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system. Collaborates with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of systems. Develops new and innovative ideas (e.g. IDFs) for a product or feature area. Drives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. Level of Responsibility: Works under supervision. Decision-making may affect work beyond immediate work group. Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions). Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

We are looking for qualified people who can develop scalable solutions to complex real-world problems using AI/ML, Big Data, Statistics, Econometrics, and Optimization. Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Minimum Qualifications Bachelor’s degree in Analytics, Computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or PowerBI. 1+ years' experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Analytics, Computer Science, Operational research, Statistics, Applied mathematics or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Gemini, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and AI/ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Job Description We are looking for qualified people who can develop scalable solutions to complex real-world problems using AI/ML, Big Data, Statistics, Econometrics, and Optimization. Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Responsibilities Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and AI/ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Qualifications Minimum Qualifications Bachelor’s degree in Analytics, Computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or PowerBI. 1+ years' experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Analytics, Computer Science, Operational research, Statistics, Applied mathematics or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Gemini, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills

Our Culture & Values: We’d describe our culture as human, friendly, engaging, supportive, agile, and super collaborative. At Kainskep Solutions, our five values underpin everything we do, from how we work to how we delight and deliver to our customers. Our values are #TeamMember, #Ownership, #Innovation, #Challenge, and #Collaboration. What makes a great team? A Diverse Team! Don’t be put off if you don’t tick all the boxes; we know from research that candidates may not apply if they don’t feel they are 100% there yet; the essential experience we need is the ability to engage clients and build strong, effective relationships. If you don’t tick the rest, we would still love to talk. We’re committed to creating a diverse and inclusive. What you’ll bring: Use programming languages like Python, R, and SQL for data manipulation, statistical analysis, and machine learning tasks. Apply fundamental statistical concepts such as mean, median, variance, probability distributions, and hypothesis testing to analyze data. Develop supervised and unsupervised machine learning models, including classification, regression, clustering, and dimensionality reduction techniques. Evaluate model performance using metrics such as accuracy, precision, recall, and F1-score, implementing cross-validation techniques to ensure reliability. Conduct data manipulation and visualization using libraries such as Pandas, Matplotlib, Seaborn, and ggplot2, implementing data cleaning techniques to handle missing values and outliers. Perform exploratory data analysis, feature engineering, and data mining tasks including text mining, natural language processing (NLP), and web scraping. Familiarize yourself with big data technologies such as Apache Spark and Hadoop, understanding distributed computing concepts to handle large-scale datasets effectively. Manage relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra) for data storage and retrieval. Use version control systems like Git and GitHub/GitLab for collaborative development, understanding branching, merging, and versioning workflows. Demonstrate basic knowledge of the software development lifecycle, Agile methodologies, algorithms, and data structures. Requirements: Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or a related field. Proficiency in programming languages such as Python, R, and SQL. Strong analytical skills and a passion for working with data. Ability to learn quickly and adapt to new technologies and methodologies. Prior experience with data analysis, machine learning, or related fields is a plus. Good To Have: Experience in Computer Vision, including Image Processing and Video Processing. Familiarity with Generative AI techniques, such as Generative Adversarial Networks (GANs), and their applications in image, text, and other data generation tasks. Knowledge of Large Language Models (LLMs) is a plus. Experience with Microsoft AI technologies, including Azure AI Studio and Azure Copilot Studio. Job Type: Fresher Pay: ₹10,000.00 per month Benefits: Flexible schedule Schedule: Monday to Friday Ability to commute/relocate: Vaishali Nagar, Jaipur, Rajasthan: Reliably commute or planning to relocate before starting work (Preferred) Experience: Data science: 1 year (Required) Work Location: In person Expected Start Date: 14/07/2025

Position Overview: We are seeking a talented and motivated AI Engineer with a strong focus on Computer Vision to join our team. The ideal candidate should have a passion for solving complex problems in the field of machine learning and computer vision, as well as the technical expertise required to build and deploy AI solutions. This role is perfect for individuals with 1-4 years of relevant experience, strong programming skills in Python, and a solid understanding of computer vision frameworks and libraries. Key Responsibilities: - Design, develop, and deploy computer vision models to solve real-world problems. - Implement machine learning algorithms for image processing, object detection, segmentation, and recognition tasks. - Optimize and fine-tune models using frameworks like PyTorch and TensorFlow. - Collaborate with cross-functional teams to understand requirements and deliver efficient AI-driven solutions. - Analyze large-scale datasets to derive meaningful insights and improve model performance. - Create and maintain robust, scalable code for production-level AI systems. - Research and stay updated with the latest trends and advancements in computer vision and AI. Required Skills and Qualifications: - Educational Background: Bachelor's or Master’s degree in Computer Science, Data Science, Mathematics, or a related field. - Experience: 1-4 years of hands-on experience in computer vision and machine learning. - Programming Skills: Proficient in Python, with a strong understanding of object-oriented programming and scripting. - Frameworks: Expertise in using PyTorch and TensorFlow for model development and training. - Libraries: Proficient in popular Python libraries such as: - OpenCV-python for computer vision tasks. - Pillow for image processing. - scikit-learn for machine learning and data preprocessing. - Mathematics: Strong foundation in mathematical concepts related to machine learning and computer vision, including: - Linear algebra - Probability and statistics - Calculus - Computer Vision Algorithms: Practical experience in implementing and working with algorithms like: - Object detection - Image classification - Object segmentation - Activity recognition (optional but preferred) - Keypoint detection (optional but preferred) - Familiarity with image annotation tools and dataset preparation techniques. - Experience in version control systems like Git. Preferred Qualifications: - Knowledge of deploying models on edge devices or cloud platforms. - Familiarity with deep learning architectures like CNNs, RNNs, or GANs. - Experience with optimization techniques for model inference speed and accuracy. - Contributions to open-source projects in computer vision or machine learning. If you are passionate about applying AI to solve challenging computer vision problems and have the skills required to excel in this role, we encourage you to apply. Join us in building the next generation of intelligent systems!

Date: Jul 2, 2025 Location: Pune, MH, IN Apply now » Apply now Apply for Job Enter your email to apply Position Summary With Job Responsibilities Position Name PFT P&SQ Position level Fix Term DEM position name Sr Manager / DGM DEM position level Level 5 / 4 FEM position name NA FEM position level NA Education B.E./B.Tech with 0-3 years’ experience Skills/ Competencies 1. Drive for results Customer Centricity Dealing with Ambiguity Interpersonal effectiveness Problem solving orientation. Education Work Experience Key Responsibilities P&SQ - Advance Quality Technical Review Sign Off Completion VAVE coordination and dept report generation New/ECN part availability for project milestones Monitoring data of production for critical parts Line quality issue attendance Development status review with supplier Development sample offering to VQA To Support Tooling capitalisation activity Support AQ Engineer for ECN line try-out Development strategy execution (Target Vs Actual) P&SQ Purchase Brief study of parts, design, drawing, specification & floating SOR’s/RFQ’s to suppliers. Prepare all GDC approvals, ESR, approval back up data.. Actively involved in commercial settlement of parts & tooling cost especially taking care of chrome plated parts commercial individually All miscellaneous activates for interior plastics parts handled individually (miscellaneous activities-SOB updation, Part price updation, Usage probability updation, Tax code updation, Reason code change, PO Lock/Unlock, change contract qty ) Use SAP & PLM for regular purchase related activities like design details study / PO database etc. P&SQ Current Quality Attend Line Quality issues Communicate issue to concerned team with Primary analysis Prepare daily issue reports Sample submission and Line trials for any New / ECN Parts Communicate with suppliers regarding quality issues Daily report updation, Rejection tracker, Supplier issues analysis Tata Motors Leadership Competencies Customer Centricity - Anticipating, understanding and focusing efforts on meeting the customer (stakeholders) needs or expectations Developing Self and Others - Recognizing continuous development is essential for success and taking steps to develop self and helping others to excel Driving Execution - Translating strategy into action and execution Leading by Example - Encouraging and following ethical standards Leading Change - Recognizing the need for change, initiating and adapting to change Motivating Self and Others - Inspiring teams and individuals Functional Competencies Tags Apply now » Apply now Apply for Job Enter your email to apply

Role Definition: Data Scientists focus on researching and developing AI algorithms and models. They analyse data, build predictive models, and apply machine learning techniques to solve complex problems Skills Proficient: Languages/Framework: Fast API, Azure UI Search API (React) Databases and ETL: Cosmos DB (API for MongoDB), Data Factory Data Bricks Proficiency in Python and R Cloud: Azure Cloud Basics (Azure DevOps) Gitlab: Gitlab Pipeline Ansible and REX: Rex Deployment Data Science: Prompt Engineering + Modern Testing Data mining and cleaning ML (Supervised/unsupervised learning) NLP techniques, knowledge of Deep Learning techniques include RNN, transformers End-to-end AI solution delivery AI integration and deployment AI frameworks (PyTorch) MLOps frameworks Model deployment processes Data pipeline monitoring Expert: (in addition to proficient skills) Languages/Framework: Azure Open AI Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search Databases and ETL: Azure Storage Account Expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning) Proficiency in deep learning frameworks (TensorFlow, PyTorch) Strong mathematical foundation (linear algebra, calculus, probability, statistics) Research methodology and experimental design Proficiency in data analysis tools (Pandas, NumPy, SQL) Strong statistical and probabilistic modelling skills Data visualization skills (Matplotlib, Seaborn, Tableau) Knowledge of big data technologies (Spark, Hive) Experience with AI-driven analytics and decision-making systems Skills: statistical modelling,data scientist,fastapi,nlp techniques,azure cloud basics,cosmos db,azure,ansible,sql,cosmos db (api for mongodb),unsupervised learning,gitlab pipeline,azure ui search api (react),reinforcement learning,modern testing,python,rex deployment,end-to-end ai solution delivery,ai-driven analytics,azure storage account,azure devops,open ai gpt family of models,transformers,data factory data bricks,numpy,data bricks,azure open ai,prompt engineering,etl,data pipeline monitoring,fast api,data factory,model deployment processes,tensorflow,data visualization (matplotlib, seaborn, tableau),pandas,ai integration and deployment,big data technologies (spark, hive),supervised learning,r,rnn,mlops frameworks,data mining and cleaning,pytorch,deep learning techniques

Job Overview We are seeking a motivated and results-driven Sales Development Representative (SDR) to join our dynamic sales team. The SDR will be responsible for generating leads and qualifying prospects through various outreach methods, including cold calling , cold emailing , and LinkedIn messaging . The ideal candidate is an excellent communicator, both verbally and in writing, and is fluent in English. Key Responsibilities: Generate SQL (sales-qualified lead), a lead that has a high probability of converting into a customer. Conduct high-volume outbound cold calls and emails to potential prospects specifically for cybersecurity products. Develop and execute targeted cold email campaigns and utilize LinkedIn to identify, connect, and engage with potential leads. Qualify leads based on the BANT ( Budget- Authority- Need- Time) Framework and set up meetings or calls for the sales team. Maintain accurate records of all interactions in the CRM system and track sales progress and metrics. Achieve or exceed monthly and quarterly targets for lead generation and appointments set. Conduct thorough market research to identify high-growth industries and customer segments in the cybersecurity and networking markets. Execute a comprehensive business development strategy, generating and nurturing leads into a strong sales pipeline. Deliver persuasive sales presentations, cultivate relationships with key stakeholders, and drive partnership programs. Showcasing the demo of the PSM product , understanding the scope and proposal drafting, and representing the company at industry events Qualifications: Bachelor’s or Master’s degree. 1+ years of experience in B2B SaaS product sales , ideally with cybersecurity or enterprise software, is a MUST have. Fluency in English (verbal and written communication) is a must. Strong research skills to identify and target relevant companies and contacts Why You'll Enjoy Working at Threatcop: Working with us allows you to gain hands-on experience and training on various industry-leading tools for database management and prospecting. Tools such as ZOHO CRM, Lusha, Apollo.io, Notion, LinkedIn Sales Navigator, and more will be at your disposal, empowering you to enhance your skills and streamline your work. Get the fast learning and exciting environment of a startup, combined with the stable work and strong performance of a bigger company. There's lots of room to learn, grow, and share your ideas. We also provide good benefits like health insurance, a gratuity payment, and Employees' Provident Fund (a savings plan for your future). We are an equal opportunity employer, where everyone has a fair chance. About Us: Threatcop Inc. is a leading People Security Management(PSM) company and a sister concern of Kratikal. Threatcop helps organizations reduce the impacts of cyber threats by strengthening the cybersecurity posture of employees. With a focus on reducing social engineering and email-based attacks, we transform employees from the weakest link to the strongest line of defense. Serving over 250+ large enterprises and 600+ SMEs across 30+ countries , Threatcop assists clients in sectors such as E-commerce, Finance, BFSI, Healthcare, Manufacturing, and Telecom with clients like Axis Bank, Gail India, ONGC, MaxLife Insurance, Daman Insurance, UNICOIL, NPCI, Tata Consumer Products and many others. We are a USA-based company, headquartered in Noida with offices in Mumbai, Pune, Bangalore, Chennai, Dubai, and Riyadh. We use the A-A-P-E (Assess, Aware, Protect, Empower) framework to deliver effective products such as TSAT, TLMS, TDMARC and TPIR to tackle evolving cyberthreats. By focusing on preventing human error, our People Security Management (PSM) approach empowers organizations to foster a culture of cybersecurity awareness to tackle modern cyber threats. For more details, visit us at: www.threatcop.com

About Lowe’s Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India About The Team Product Discovery team is responsible for managing the Search & Recommendation functions to help customers find the relevant products. Team is focused on building scalable nextgen models using AI /ML to enhance product discovery by personalizing and optimizing the customer experience. Their key goals are: Personalized Recommendations: Build recommendation systems that suggest products based on user behavior and preferences. Smarter Search: Use AI techniques like NLP to improve search accuracy and relevance. Dynamic Personalization: Tailor product listings and content to individual users, boosting engagement and conversion. User Insights: Leverage data to refine discovery algorithms and enhance the customer journey. Scalable Infrastructure: Ensure algorithms remain efficient as data and user interactions grow. Continuous Improvement: Continuously refine models through feedback loops and performance metrics. Ultimately, the team aims to drive higher conversions, better user experience, and operational efficiency by delivering smarter, scalable product discovery through a data driven approach. Job Summary We are seeking a talented Principal Data Scientist to lead the development of Product Search and Recommendation systems. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, deep learning, and semantic understanding, and will be passionate about transforming the way users discover relevant content. As a Principal Data Scientist, you will be responsible for driving the vision and strategy for Ecommerce search and personalized recommendation systems, leveraging state-of-the-art techniques such as transformer models, embeddings, and knowledge graphs. You will collaborate closely with product teams, engineers, and business stakeholders to enhance user experience and business outcomes. Roles & Responsibilities Leadership & Strategy Lead the development of cutting-edge Search and recommendation algorithms that improve relevance, personalization, and user engagement. Define and execute the strategy for semantic understanding and recommendations, aligning with overall business goals. Work cross-functionally with product managers, engineers, and data scientists to drive the roadmap for search and recommendation improvements. Search & NLP Expertise Lead the design and implementation of Search/Recommendation models that go beyond traditional keyword matching to understand user intent and context. Apply advanced NLP techniques such as transformers (BERT, GPT, T5), word embeddings, and contextualized word representations to enhance search relevance. Use techniques like sentence embeddings, document embeddings, and similarity measures to build scalable search systems that understand semantic meaning. Model Development & Experimentation Conduct research and experiments to design, develop, and validate new Search models and Recommendation techniques. Continuously test, measure, and optimize models through A/B testing, real-time metrics, and user feedback loops. Develop approaches to handle large-scale data, ensuring the models can be deployed efficiently in production environments. Collaboration & Mentorship Lead and mentor a team of data scientists, guiding them in the development of semantic models and complex recommendation algorithms. Foster a culture of knowledge sharing and collaboration across teams to ensure that the best practices are followed in model development and deployment. Collaborate with engineers & product managers to ensure the effective integration of models into scalable production systems. Thought Leadership Stay up to date with the latest research in Search, NLP, and recommendation systems. Evangelize the use of cutting-edge techniques within the company to drive innovation in search and recommendations. Years Of Experience 8 years of experience executing and deploying data science, machine learning, deep learning, and generative AI solutions, preferably in a large-scale enterprise setting (fewer years may be accepted with a master’s or doctorate degree) 8 years of programming experience (fewer years may be accepted with a master's or doctorate degree) 5 years of SQL experience and knowledge of various statistical modeling or machine learning techniques Bachelor's degree in mathematics, statistics, physics, economics, engineering, computer science, data or information science, or related quantitative analytic field (or equivalent work experience in lieu of degree) Candidates with Doctorate or Master’s degree are preferred Education Qualification & Certifications Bachelor’s degree (Required): Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field) Doctorate Degree (Preferred): Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field Skill Set Required Machine Learning & AI Supervised/unsupervised learning (e.g., regression, clustering) Deep learning (CNNs, RNNs, Transformers) Natural Language Processing (NLP) for search relevance Experience with generating vector embeddings Statistical & Mathematical Expertise Probability, statistics, and A/B testing Leadership & Collaboration Cross-functional team collaboration (engineering, product, design) Mentoring junior data scientists Communicating technical concepts to non-technical stakeholders Tools & Frameworks Programming (Python, R, Scala) ML frameworks (TensorFlow, PyTorch, scikit-learn) Version control (Git) Performance Evaluation Model evaluation using metrics (precision, recall, NDCG) Online learning and incremental model updates Understanding of Data Engineering & Infrastructure Big data technologies (Apache Spark, Hadoop) Data pipeline management (ETL processes) Database management (SQL, NoSQL, Elasticsearch) Cloud platforms (AWS/GCP/Azure) Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.

Quantitative & Systems Intern About Astralane Astralane is building the next generation of low-latency tooling for Solana and other high-throughput chains. You’ll join a small, tight-knit team that’s obsessed with squeezing out every last microsecond in trade execution, on-chain data analysis, and protocol-level optimization. What You’ll Do Implement Rust-based tools to ingest, clean, and analyze high-volume blockchain and market data. Build and optimize data pipelines for trade analysis, backtesting, and statistical research. Work with Solana RPCs, transaction logs, and public APIs to extract insights from on-chain MEV activity. Detect, classify, and explain MEV patterns (e.g., backruns, arbitrage) by decoding raw transactions. Collaborate with engineers on low-latency networking, custom RPC/GRPC clients, and real-time monitoring dashboards. Research quantitative strategies, write prototypes, and contribute to production-grade code. Present findings in clear write-ups and team demos—your insights will directly inform our product roadmap. What We’re Looking For Proficiency in Rust (or C++/Go with eagerness to pick up Rust). Strong foundations in computer science (data structures, algorithms, concurrency). Solid math/stats background (linear algebra, probability, basic ML). Hands-on experience with data analysis—Python, SQL, or other tools. Bonus: familiarity with blockchain concepts (accounts, transactions, MEV), Solana RPCs, trading APIs, or on-chain data indexing. Excellent communicator who thrives in a highly collaborative, fast-paced environment. Why You’ll Love It Direct mentorship from Solana-protocol-level engineers. Real impact: your analysis and code ship to production. Deep dive into next-gen blockchain infrastructure and quant research. Flexible hours, team socials, and free snacks (yes, butter chicken and samosas count!). How to Apply To apply, complete this short technical assignment: 👉 https://docs.google.com/forms/d/e/1FAIpQLSe-5qCKOlExubrk5WxPqNBapxmtr8pD_JhyobFfbw4sUFfMdw/viewform Once submitted, feel free to also send your resume and a note about a project you’re proud of to hi@astralane.io and CC: jas@audacelabs.com .

At least 3-8 years of experience in market risk measurement within an investment bank or other financial institution; previous VaR or Credit Risk experience is required. Knowledge in Asset Classes ( any 1-2 of these) – Equity, Fixed Income, FX, Commodities, Derivatives & Structured Products. Experience & knowledge of Fixed Income and Derivatives especially Corporate Bonds, Interest Rate derivatives, Total Return Swaps (TRS), Credit Derivatives, CVA, FVA etc. Basic understanding of pricing and valuation of these products. Understanding of key risk/profitability concepts such as Probability of Default, Event of Default, Jump to Default, Present Value of basis point, Mark to Market, volatility, Yield curve, parallel and point shifts in yield curve etc. Ability to dissect price of a security onto its various constituent components such as interest rate curves and the corresponding relevant term structure sensitivity. A higher degree in one of those areas or in finance or a professional qualification e.g. CFA, FRM, PRIMA would be an advantage General knowledge of risk issues and investment products, together with some programming skills would be also desirable. Ability to work well in a team and building relationships. Ability to produce high quality, accurate work, under pressure and to tight deadlines. Willingness to question and challenge the status quo and ability to provide alternative approaches.

Summary JOB DESCRIPTION The Sr Financial Analyst will exhibit genuine interest in solving work problems through proactively asking questions, clearly communicating and collaborating both internally and externally to grow the business. In addition, the Financial Analyst is responsible for understanding our competition and customers and showing initiative to learn and continuously improve company processes. The Sr Financial Analyst will be responsible for long term planning, financial analysis and business analysis. The Sr Financial Analyst will play an integral role in the success of the company and our clients. Duties & Responsibilities Listed in order of relevance: Financial Planning and Analysis: Develop financial statement forecasts, create and maintain financial dashboards, and perform financial analysis to support decision-making. Operational Excellence: Ensure internal controls are in place to protect the global asset base, meet enterprise planning and financial reporting requirements on a US GAAP basis, and lead fiduciary roles Business Forecasting: Develop and maintain automated forecasting processes, scorecard forecasting processes, and implement enhancements to deliver targeted precision Reporting and Analysis: Provide critical insights, serve as a financial advisor to finance leaders, and establish and maintain data integrity. Month-End Close Process: Manage the month-end close process, including reviewing ISC Key Metrics and summaries at various levels of operations. Inventory Management: Establish a consistent methodology for determining if costs contribute to the production of inventory and performing variance analysis vs AOP Standardized Reporting: Deploy standardized and digitized reporting, connect ISC EDW and Digital Finance for holistic reporting, and create standard FDS smart view pulls to validate data. Execute ISC Finance objectives, drive results, hold others accountable to their commitments, and maintain an operational excellence culture Investigate / resolve any issues or errors related to the finance side of the ERP system Month end financial responsibilities (JE’s, Accrual entries, etc) with USA entity Responsible for updating/monitoring standard costs each year for all entities and providing year-end Inventory reports Respond to change productively and handle other duties as required. Follow all company safety policies and procedures. Education & Experience Strong Excel, PowerPoint and Access skills, with particular focus on financial modeling and the use of advanced features of spreadsheets. Experience with financial modeling. High level of analytical ability and accuracy. Highly organized and ability to work on multiple projects at once. Ability to work independently and complete tasks with minimal supervision. Excellent interpersonal and organization skills required. A bachelor’s degree in accounting, finance or a related field plus 5 years or more of job-related experience; the equivalent combination of training and experience may be suitable; a CPA and/or MBA is preferred. Responsibilities KNOWLEDGE & SKILLS Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. Proficiency in MS Office applications (MS Word, MS Excel, MS Access, MS PowerPoint, MS Outlook). Ability to read, speak, and write in English required. About Us Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

We are Velocys . A leading Fischer-Tropsch (FT) technology company delivering decarbonised liquid fuel solutions. Privately-owned by climate funds such as GenZero, LightRock, Carbon Direct and Ahren Innovation Capital, we play a crucial part in the global Energy Transition. Our microFTL™ technology provides a scalable, flexible solution enabling the production of Sustainable Aviation Fuel (SAF) and Renewable Diesel (RD) from a broad range of renewable, sustainable carbon and hydrogen sources, including municipal solid waste, woody biomass, biogas, and green hydrogen. Our performance at commercial scale has been demonstrated in several applications, and our competitive advantage comes from a compact reactor design that minimizes capital while maximizing the yield of the most valuable hydrocarbons. We are a transatlantic company with a presence in the UK and the US at present, and are now excited to be expanding our horizons into other global regions . Our team of subject matter experts in Engineering and Sales (to name a few) has one common goal: directing the future of aviation in a more sustainable trajectory, with a view to decarbonise all heavy transport modes globally. Do you want to be part of the change? 🚀 About the role Our Commercial Sales function is central to the future growth and revenue of the company. This means that as Commercial Director - West Asia, you will be responsible for the sales of Velocys’ technology and services to third parties within your assigned region covering the subcontinent, Middle East, Thailand and Vietnam to name a few. Such sales require a high degree of partnership and collaboration, both internally and externally, and the foundations formed through several years of experience in the field. From judging the probability of us being selected by a client, the overall project success and the likely timescales, through to collaborating with colleagues to determine resources including engineering expertise, the role is both challenging and exciting in equal parts. Reporting directly into the Chief Commercial Officer, you will be a strong influencer for our external market presence and work with a wide range of stakeholders, including potential customers, Partners and industries – you are important! 🧬 You, in a nutshell There are some must-have’s for this role: You're based in West Asia; India is ideal! You have proved your experience of successful sales in a complex, technology licencing environment within West Asia & Pacific countries. You have a degree in Chemical Engineering. You set the bar high in your approach to work; you’re ethical and professional. You’re a born communicator. You speak and write well, especially technical concepts. You’re attentive to detail. You don’t miss a beat when it comes to having a strong eye for what looks good in a sales proposal. You’re a presenter. You’re confident and love taking a centre-stage role where you can sell the dream to others. You’re passionate. You’re able to apply your enthusiasm, initiative and energy to inspire your audience. You’re an organiser. You’re able to manage complex proposals and ensure that all involved are held accountable for playing their part in it. You’re a people person. You’re able to interact and engage across multiple functions to bring people together – collaboration is key. 🧩What your week might look like (with a few plot twists) As our Commercial Director, you could: Focus on sales activities such as: Develop sales prospects and manage client relationships from initial contact through stages of qualification, opportunity development, contracting negotiations, at all stages of a client project, typically lasting several years. Build on your knowledge of the SAF and environmental credit markets; keeping a watching brief on competition and continuously seek opportunities to improve Velocys’ competitiveness. Represent the Company externally in a wide variety of situations, including conferences and events that support the business objectives. Provide commercial support to Velocys-led projects and other negotiations where required. Enhance our market value: By generating new leads and building our sales pipeline. Manage our customers: By working across our customer organisations to build conducive relationships and understanding customer buying behaviours and contractual requirements for closure. Manage contracts: Use your understanding of applicable legal terms and conditions to participate, and where applicable, lead Customer negotiations for timely and amicable closure on sales contracts. Prepare, negotiate and manage complex contracts. Build our strategy: By working with our leadership team to devise and provide inputs to each opportunity to place Velocys’ offering for a win. Manage our CRM system: By adding regular updates onto our CRM system, HubSpot, for all opportunities forecasted along with correct pricing to ensure all approvals are in place. Manage proposals: By providing support to developing opportunities in response to RFQ and client requirements, driving customer satisfaction and repeat business. Build your already strong professional network: By networking within the industry and various stakeholders. Actively participate in panels, presentations and key speaker forums as and when appropriate. 🎁 The Good Stuff (aka what's in it for you) In addition to a competitive salary, a discretionary bonus and and your very own slice of the equity pie (yes, we mean share options - because you should own a piece of what you're building), you'll also get: 🌏 Perks That Speak Your Language From health insurance to wellness benefits, we tailor our perks to what matters most in your corner of the world — no generic packages here. 🛌 Leave That Actually Lets You Breathe Whether it’s a sick day, a family emergency, a new arrival, or just a moment to pause — we offer generous paid leave for maternity, paternity, family care, bereavement, and more. Life happens. We get it. 🚀 Time to Grow (On the Clock) We carve out dedicated hours for your personal and professional development — with a plan, support, and access to learning resources that go beyond the usual “watch this video” routine.

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Job Overview: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Wireless Connectivity Modem Systems Engineer, you will research, design, develop, verify, validate, and commercialize Wireless connectivity modem as a product or component within a product. Works on the implementation of a multi-RAT (Radio Access Technology) wireless connectivity modem from industry specifications (such as Bluetooth, UWB, IEEE 802.15.4, etc.). Has experience in the wireless connectivity specifications and can efficiently implement the shared resources of a multi-RAT modem. Works closely with other functional groups to develop a cost effective, high quality and high capability modem that meets industry and customer requirements with high performance (e.g., throughput, latency, power consumption) and acceptable cost (e.g., silicon area, calibration complexity, code size). Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Preferred Qualifications: Master's degree or PhD in Electrical Engineering, or related field . 4+ years of experience in at least one or more of the following areas: Communication theory, digital signal processing, information theory, channel coding, and probability and random processes. Strong analytical and problem-solving skills. Ability to program effectively in C/C++, Python and/or Matlab. 2+ years of experience working in a large matrixed organization. 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Sr. Staff level and above). Principal Duties And Responsibilities: Leverages and applies advanced modem knowledge (e.g., RF, baseband signal processing, communication protocols) and design methodology for areas within modem hardware, systems, or firmware to execute modem assignments; participates in and shares own perspective within domain of modem subject matter expertise in design reviews and project meetings. . Performs functional analysis to drive requirements and specifications and to define and align with standards for hardware and software. Develops and analyzes system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system. Collaborates with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of systems. Develops new and innovative ideas (e.g. IDFs) for a product or feature area. Drives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. Level Of Responsibility: Works under supervision. Decision-making may affect work beyond immediate work group. Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions). Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3077248

The Project Intermediate Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams. Responsibilities: Contributes to work flow or process change and redesign, and to forms a strong basic understanding of the specific product or process associated with a project under management. Collects, measures, and analyzes project performance data. Identifies, tracks, and closes project issues. Ensures creation of project scope management plan. Creates project schedule management plan. Ensures corrective action is taken when project schedule variances occur create project cost estimates. Tracks actual project costs, identify variances, and reforecast project costs as needed. Creates the project quality management plan. Identifies quality standards and metrics relevant to the project and how to meet them. Identifies project risks, perform probability and impact analysis, determine responses to risks, track risks, and execute responses as needed. Accountable for regular reporting or process administration as owner. May direct day-to-day work of junior level employees, but will not typically have formal management role. Exhibits strong basic executional and increasing project ownership capabilities. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 2-5 years of relevant experience Education: Bachelor’s/University degree or equivalent experience The Lending Operations Analytics & Reporting Associate supports management and business intelligence reporting and partners closely with Core Operations to leverage this reporting in identifying key focus areas, reducing risk and improving the health of the organization. Responsibilities: Conduct strategic data analysis by identifying key insights and trends to make strategic recommendations Develop data visualizations using tools such as Tableau with information from various platforms to clearly communicate complex analyses Execute and deliver management reports that help to tell the story of the organization and enable key business decision making Support the design and creation of new reports and enhancement of existing reports to optimally serve the business needs of key partners across Operations Execute robust controls for management and operational reporting to ensure the highest data quality, accuracy of reporting and audit / regulatory readiness Qualifications: 3+ years of experience with designing and producing business intelligence reporting and analytics Proficiency in Tableau required and experience with other data visualization tools such as PowerBI and Qlikview preferred Excellent analytical ability to understand business and operational processes Ability to manage simultaneous deliverables with a strong attention to detail in a fast-paced and high-stress environment Can-do attitude on solving complex business problems and ability to communicate and manage expectations with key stakeholders including senior leaders and Operations managers This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Project and Program Management ------------------------------------------------------ Job Family: Project Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

About Cognida.ai Our Purpose is to boost your competitive advantage using AI and Analytics. We Deliver tangible business impact with data-driven insights powered by AI. Drive revenue growth, increase profitability and improve operational efficiencies. We Are technologists with keen business acumen - Forever curious, always on the front lines of technological advancements. Applying our latest learnings, and tools to solve your everyday business challenges. We Believe the power of AI should not be the exclusive preserve of the few. Every business, regardless of its size or sector deserves the opportunity to harness the power of AI to make better decisions and drive business value. We See a world where our AI and Analytics solutions democratise decision intelligence for all businesses. With Cognida.ai, our motto is ‘No enterprise left behind’. Location: Hyderabad Role & Responsibilities Design and develop machine learning algorithms and deep learning applications and systems. Solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks. Analyse complex datasets to uncover insights and patterns that help model development. Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications. Identify differences in data distribution that could potentially affect model performance in real-world applications. Ensure algorithms generate accurate user recommendations. Implement and test various search and recommendation algorithms to improve system performance. Optimise existing machine learning models for performance and scalability. Study and transform data science prototypes and apply appropriate machine learning algorithms and tools. Extend existing machine learning libraries and frameworks. Qualifications ML Engineer with 5+ years of experience. Should have worked in Generative AI, building annotations, models. Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms. In-depth knowledge of machine learning frameworks, like Keras or PyTorch. Familiarity with data structures, data modelling, and software architecture. Familiarity with Python, Java, and R Excellent communication and collaboration skills Ability to work with cross functional & client managers.

We’re Hiring: Mathematics Educators (3 Open Positions) Location: Andhra Pradesh Subjects: Discrete Mathematics & Graph Theory Probability & Statistics Probability Theory & Stochastic Processes Are you passionate about teaching and shaping future tech talent? byteXL is looking for Mathematics Educators who can bring clarity, curiosity, and conceptual depth to engineering classrooms. What You’ll Do: 🎓 Deliver engaging sessions that simplify complex concepts 🧠 Support students in building strong problem-solving foundations 📈 Drive academic outcomes through structured assessments and mentorship What We’re Looking For: ✅ Subject matter expertise in one or more of the above domains ✅ Strong communication skills and a student-first mindset ✅ Prior teaching/training experience Join a team that’s transforming how engineering students in Tier 2/3 cities learn and succeed in today’s tech-driven world. Apply now and be part of our mission to make employable engineers!

Join us and celebrate the beauty of human experience. Create for happier, healthier lives, with love for nature. Together, with passion and creativity, we deliver food innovations, craft inspired fragrances and develop beauty and wellbeing solutions. There’s much to learn and many to learn from, with more than 16,000 employees around the world to explore ideas and ambitions with. Every day, your talent, your innovative spirit, and your determination will shape our future, making a positive difference on billions of people. Every essence of you enriches our world. We are Givaudan. Human by nature. Sales Manager (Hyderabad) - Your future position? As the Sales Manager (Hyderabad) , you will represent Givaudan's South Asia Taste and Wellbeing team, focusing on Distributors, L&R, and Key Accounts within the region. In this role, you will report directly to the Regional Sales Manager and will be based in Hyderabad, India. Your primary responsibility is to develop and implement strategic initiatives aimed at supporting and expanding our flavours business across the assigned market. You will work closely with customers to identify their needs and opportunities for growth, ensuring that Givaudan remains a trusted partner in delivering innovative flavor solutions. Sounds interesting? In this exciting role you also will be responsible in: Achieving the monthly, quarterly, and annual sales targets for Givaudan. Build and maintain enduring relationships with key customers and distributors. Conduct visits to existing clients and identify new opportunities, facilitating business reviews, negotiations, product presentations, and promotions. Provide regular updates to management regarding opportunities for Givaudan Taste & Wellbeing within the assigned territory, leveraging connections with R&D, manufacturing, procurement, QC/QA, and finance. Develop comprehensive account development plans that outline customer strategies and requirements, while managing a robust project pipeline. Maintain knowledge of key projects, their status, and probability of success. Oversee customer orders and service levels, negotiating prices in accordance with the established sales policy. Update and maintain data related to customers, product portfolios, pricing, delivery terms, payment conditions, and sales forecasts in the relevant database. Follow up with clients regarding outstanding and overdue payments. You? Are you someone who wants to grow and shape your own world? Who needs a new challenge and bring excellent contribution to the company? Then come and join us - and impact your world. Your professional profile includes: Master's or Bachelor's degree (or equivalent) in Food Science/Food Technology, or Business Management, Marketing, etc. 8 to 10 years of relevant experience in sales, strategic account management and business development, focusing on fragmented & high-growth markets. Strong knowledge of the Flavour, Food, and Pharma industries, with in-depth understanding of its products and applications. Technical and commercial acumen related to flavours and their end-use applications, along with a solid grasp of market dynamics, consumer needs, and the complexities of the environment. Proven ability to build strong customer relationships and drive profitable growth in a challenging market landscape. Possess an ownership mindset, demonstrated by a track record of assertive business development approach. Demonstrated drive for results and interpersonal effectiveness, with a capacity to build effective teams and perform well under pressure. Willingness and ability to travel frequently within the designated market (approximately 50% of your time). Fluency in Telugu and Tamil are advantageous, but not mandatory. Our Benefits Attractive package with benefits. Excellent opportunities for progressive learning and development. A creative team environment that will inspire you. Comprehensive healthcare and retirement plan. At Givaudan, you contribute to delightful taste and scent experiences that touch people’s lives. You work within an inspiring teamwork culture – where you can thrive, collaborate and learn from other talented and passionate people across disciplines, regions and divisions. Every essence of you enriches our world. Diversity drives innovation and creates closer connections with our employees, customers and partners. Givaudan embraces diversity and is committed to building an inclusive environment where everyone impacts our world.

About the Role: Grade Level (for internal use): 12 The Team : As a leader in the EDO, Collection Platforms & AI – Cognitive Engineering team, you will own the vision and delivery of enterprise-scale Data Science and GenAI solutions that power natural language understanding, data extraction, information retrieval, data sourcing, and speech-to-text services for S&P Global. You will define the data science strategy, champion best practices, mentor across functions, and drive production-ready AI/ML products from ideation through deployment. You’ll work in a (truly) global team that values thoughtful risk-taking and self-initiative. What’s in it for you: Lead data science strategy and build solutions at enterprise scale Grow and mentor a world-class team of data scientists and ML engineers Solve high-complexity, high-impact problems end-to-end Define roadmaps for emerging AI capabilities (GenAI, ASR, speaker analytics) Responsibilities: Shape and execute the Data Science roadmap: tooling, methodologies, and best practices for ML, GenAI, and ASR Architect, develop, and deploy large-scale ML and GenAI pipelines-including Voice Activity Detection (VAD), Speaker Diarization, and ASR models-for automated transcription services Own the full data science lifecycle: opportunity identification, requirement gathering, modeling, evaluation, validation, deployment, monitoring, and optimization Lead exploratory data analysis, proof-of-concepts, benchmarking, and production model validation for both text- and speech-based AI solutions Establish and enforce coding standards, perform technical reviews, and optimize workflows for reproducibility and scalability Drive MLOps practices: CI/CD for models, feature stores, monitoring, alerting, and automated rollback strategies Mentor and develop junior and mid-level data scientists; foster a culture of continuous learning, innovation, and collaboration Partner with cross-functional stakeholders (Engineering, Product, IT, Compliance) to align on project goals, timelines, and SLAs Technical Requirements: 8+ years of hands-on experience in Data Science/AI, with at least 3 years in a senior or leadership role with strong hands on skills. Proven expertise in developing and deploying ASR systems: Training or fine-tuning end-to-end ASR models (e.g., Whisper, QuartzNet) Designing VAD pipelines for robust speech segmentation Implementing Speaker Diarization (e.g., Pyannote, UISR) and handling multi-speaker audio Optimizing transcription accuracy across accents, languages, and noisy environments Deep knowledge of large language models (OpenAI, Anthropic, Llama), prompt engineering, fine-tuning, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Strong understanding of ML & deep learning architectures: NLP transformers, GNNs, multimodal systems Solid grasp of statistics, probability, and the mathematics underpinning modern AI Track record of synthesizing cutting-edge research into production solutions Experience with orchestration and deployment tools: Docker, Kubernetes, Airflow, Redis, Flask/Django/FastAPI, PySpark, SQL, and cloud services (AWS/GCP/Azure) Openness to evaluate and adopt emerging technologies and languages as needed Good to have: Master's or Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, or related field Prior experience in the Economics/Financial industry, especially market-intelligence or risk analytics Public contributions on GitHub, Kaggle, StackOverflow, technical blogs, or publications Familiarity with speaker embedding techniques, speech enhancement, and noise-robust modeling 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 ----------------------------------------------------------- IFTECH103.2 - Middle Management Tier II (EEO Job Group) Job ID: 317409 Posted On: 2025-07-01 Location: Gurgaon, Haryana, India

About the Role: Grade Level (for internal use): 11 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. What’s in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment tools: Docker, Airflow, Kubernetes, Redis, Flask/Django/FastAPI, PySpark, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor’s) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications 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), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 317383 Posted On: 2025-07-01 Location: Gurgaon, Haryana, India