950 Dataset Jobs - Page 8

Dataiku exp of at least 1.5-2 years. Good to know on creating and handling partitioned dataset in Dataiku. Good with Python, data handling using pandas, numpy (Pandas and numpy are must and must know it in depth) and basics of regex. Should be able to work on GCP big query and use terraform as base for managing the code changes.

Vodafone Idea Limited is an Aditya Birla Group and Vodafone Group partnership. It is India’s leading telecom service provider. The Company provides pan India Voice and Data services across 2G, 3G and 4G platform. With the large spectrum portfolio to support the growing demand for data and voice, the company is committed to deliver delightful customer experiences and contribute towards creating a truly ‘Digital India’ by enabling millions of citizens to connect and build a better tomorrow. The Company is developing infrastructure to introduce newer and smarter technologies, making both retail and enterprise customers future ready with innovative offerings, conveniently accessible through an ecosystem of digital channels as well as extensive on-ground presence. The Company is listed on National Stock Exchange (NSE) and Bombay Stock Exchange (BSE) in India. We're proud to be an equal opportunity employer. At VIL, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected and empowered to reach their potential and contribute their best. VIL's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our Values of Passion, Boldness, Trust, Speed and Digital. Consequently, our recruiting efforts are directed towards attracting and retaining best and brightest talents. Our endeavour is to be First Choice for prospective employees. VIL ensures equal employment opportunity without discrimination or harassment based on race, colour, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. VIL is an equal opportunity employer committed to diversifying its workforce. Role Senior Data Scientist Job Level/ Designation M3/ GM – Senior Data Scientist Function / Department BDAA and BI/ Marketing Location Mumbai Job Purpose Create business models to impact the revenue and ARPU of the customers using Predictive Modeling, Artificial Intelligence, Machine Learning and cloud technologies by managing a team of data scientist Key Result Areas/Accountabilities Hands on expertise in Predictive Modeling, Artificial Intelligence, Machine Learning and cloud technologies. Interacting with key Business Stakeholders & identifying pain points. Building Data Science approach & roadmap for identified business problem statement. Assessing the Model accuracy both Statistical as well as Business evaluation. Statistical Modelling of Data, through understanding of basic statistics, like hypothesis testing, significant analysis, probabilistic estimations, ANOVA, Variance-covariance analysis. Expertise in writing efficient, modularized and standardized code in python and R Experience of working with AWS tools and technologies is preferred. 8 .In depth understanding of Feature engineering and selection approaches, Segmentation or stratified analyses, anomaly detection, pattern detection and data transformation approaches. Classification; Machine/Deep Learning - Algorithm Evaluation, Dataset Preparation. Excellent understanding of version control and best practices. People's person, while being great team member exhibits mentoring attitude Well versed with writing efficient SQL scripts for data acquisition and data aggregation Experience 2-3 Managing & mentoring a team of Data Scientist & Task Allocation Core Competencies, Knowledge, Experience Self-Starter, Motivated, organize, and excellent communicator Compulsorily being Hands-on Persistence and ability to think logically and independently Quick learner and adapting to changing business needs Must Have Technical / Professional Qualifications Python Cloud Computing - AWS Components ( EC2, S3,EMR,etc) Machine/ Deep Learning – Logistic Regression, XGBoost, SVM, Kmeans, ANN, CNN, LSTM, LLM etc.4. Deep Learning Frameworks : Caffe, Keras, Theano, Tensorflow, or Torch. Experience working on Big Data technologies (e.g. Hadoop MR, Hive, NoSQL, Spark, Kafka, Graph Databases etc.) Qualification BE, BTech Computer Science/Post Graduate Degree in Computer Applications or MCA Any Certification in Machine Learning / Deep Learning - Artificail Intelligence / Data Science MBA or an equivalent business analytics degree Vodafone Idea Limited (formerly Idea Cellular Limited) An Aditya Birla Group & Vodafone partnership

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

About The Role Uber AI Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. Data Labelling operations is one of the core functional teams within Uber AI Solutions with the responsibility to oversee the end-to-end lifecycle of the data annotation programs for B2B clients. At its core, our ability to build industry-leading data annotation programs is our right to win in this space. As a seasoned program manager for data labeling in the Gen AI space, you will be responsible for defining the programs and its key objectives to support LLM model training. You will drive cross-functional efforts across Operations, Product, Engg and Legal to define the Program-level Ops strategy, define scalable data labeling workflows leveraging internal tools, external vendors, and automation. The role will also shape and lead Scaled Solutions task/ product/ feature launches and improvements by working closely with global Supply, product, and engineering teams. You will be required to work with a geographically diverse team. True to Uber values, we are looking for a leader with an owner" and go-get-it" mindset who is ready to scale a brand new business line. You need to be customer-obsessed and build with heart" ‌ while demonstrating ability to build the vision as well as roll up the sleeves and get into action to see the forest and the trees". If you're passionate about re-imagining the gig marketplace for skilled workers and impacting the lives of millions of skilled gig workers while working with a top-tier team, this is the opportunity for you ---- What the you Will Do ---- Define the key objectives for data labeling projects to support generative AI initiatives Partner with stakeholders (Account Executives, Data Scientists, Machine Learning Engineers, and Product Managers) to identify data requirements and success criteria Represent Scaled Solutions in Customer meetings along with Account Executives Design scalable data labeling workflows that leverage internal tools, external vendors, and automation Optimize workflows for efficiency, accuracy, and cost-effectiveness, incorporating active learning and pre-labeling techniques where appropriate. Engage and manage relationships with data labeling vendors, ensuring timely delivery and adherence to quality standards Collaborate with cross-functional teams to align labeling efforts with broader AI model development timelines Implement robust quality assurance processes to validate labeled datasets against gold standards Use metrics such as inter-annotator agreement, precision/recall, and throughput to monitor quality and make improvements Manage program budgets, including vendor costs and internal resources. Forecast resource requirements and ensure efficient allocation to meet deadlines Advocate for inclusive and unbiased labeling practices to mitigate bias in AI models Basic Qualifications 5+ years experience managing scaled operations programs with 1+ year experience in GenAI / model training Experience working in a fast-paced, ambiguous work environment Strong knowledge of machine learning concepts, particularly around supervised learning and training data needs Experience working with data annotation platforms and tools. Proven track record of managing large-scale projects with cross-functional teams and external vendors Preferred Qualifications Experience in Generative AI, including text, image, video or audio data labeling Familiarity with active learning, semi-supervised labeling, and human-in-the-loop systems Proficiency in data annotation tools and scripting languages (Python, SQL) to analyze datasets and processes Strong understanding of ethical AI and best practices for minimizing dataset bias. Excellent written and verbal communication skills, with the ability to influence technical and non-technical stakeholders Strong understanding of the gig economy landscape, freelancer behaviors, and recruitment strategies Excellent project management skills, with a proven ability to juggle multiple priorities and deadlines You are a builder who wants to be empowered to make big bets Demonstrated ability to work independently and effectively across internal and external organizations Ability to take initiative in a constantly-changing work environment Exceptional written and verbal communication, and organizational skills

Company Description Acronotics Limited is a specialist consulting and services firm focused on modern-age automation technologies such as Robotic Process Automation (RPA) and Artificial Intelligence (AI). We apply human intelligence to build cutting-edge robotic automation & AI solutions for our clients. Our team consists of world-class automation & AI engineers, designers, consultants, and thought leaders. Our mission is to help clients design, develop, implement, and run game-changing, transformative robotic automation and AI solutions. Role Description We are looking for a detail-oriented and strategic Business Analyst with experience of working on IT projects dealing with corporate finance data. The ideal candidate will work at the intersection of business, data, and technology, acting as a bridge between the Finance team and the technical team. They will be instrumental in gathering requirements, validating outputs, ensuring alignment with business objectives, and supporting iterative delivery across phases. Key Responsibilities: Collaborate with stakeholders from Finance team to capture business requirements and translate them into actionable technical inputs. Analyze financial reports (e.g., Key Figures, Financial Statements, Capex Reports) and map them to underlying data structures (Power BI, OLAP Cubes). Facilitate UAT (User Acceptance Testing) and maintain traceability between requirements, test cases, and outcomes. Participate in Agile ceremonies and sprint reviews, ensuring business alignment and timely sign-offs. Work with data owners to document dataset definitions, KPIs, cube hierarchies, and metadata needed for model context. Requirements: 5+ years of experience as a Business Analyst in an IT services company working on corporate finance projects. Proficient in creating BRDs, user stories, workflows, and test cases. Strong understanding of financial reports, financial KPIs, variance analysis, forecasting, and budgeting processes. Experience working with BI tools such as Power BI and OLAP cubes (SSAS). Familiarity with Excel and PowerPoint-based financial commentaries and how they are used in decision-making. Exposure to AI, ML, or LLM-based platforms (e.g., Azure OpenAI, Copilot interfaces) is a plus. Comfortable working with semi-structured and structured data sources. Excellent communication skills – able to distill complex technical outputs into business-friendly narratives. Good to have: Experience of working on AI implementation projects. Experience with tools like JIRA, Confluence, or Azure DevOps. Certification in Business Analysis (CBAP/CCBA) or Agile (Scrum Product Owner/BA). Contribute to prompt engineering and RAG (Retrieval-Augmented Generation) context definition to improve AI performance. Location: Bangalore

About The Role Grade Level (for internal use): 11 The Team The Transactions team’s mission is to produce the most actionable, transparent, trusted, and comprehensive data and insights in the marketplace for critical corporate events like Mergers & Acquisitions, Public Offerings, Investor Activism, Equity Buybacks, and Bankruptcies. The Role We seek a dynamic and strategic Senior Manager to lead a global data operations team responsible for collecting in-depth insights on the M&A dataset within the Transactions data operations. This leadership position is pivotal in ensuring both the integrity of our data assets and exceptional client satisfaction. You will be directly leading a group of frontline managers + data specialists and will be expected to bring a unique blend of operational rigor, talent engagement, and a commitment to continuous improvement. The Impact This role involves leading a group of frontline managers + data specialists, and the candidate is expected to bring a unique blend of operational rigor, talent engagement, and a commitment to continuous improvement. It also warrants other leaders within Transactions and teams within the domain/cluster/content organization to drive various projects and initiatives to deliver best-in-class, differentiated content to meet and exceed client expectations. What’s In It For You This is an opportunity to manage leaders and/or individual contributors and contribute towards achieving the business results. Accountability would be towards understanding and owning the business objectives; be a role model for people and peer groups; communicate with passion and enthusiasm, embrace change as a way of working; and lead by example when communicating new initiatives. Responsibilities Manage multiple teams working on collection/value-added tasks within Transactions. Lead teams across assigned business/region for workflow systems with a focus on managing process, productivity, and functionality improvements. Effective coordination and constructive relationships within internal, intra-cluster, and other verticals across EDO. May interact with internal and external clients as necessary, and occasionally work on new projects and data enhancement initiatives as assigned. Own the performance measurement processes, talent development, team engagement, and VIBE for respective teams. Generate and timely share status reports/updates to relevant stakeholders. Manage/support multiple operational or project/focused teams across offices in the planning and implementation of process and operational changes across different teams. Proven ambassador of innovative culture and promoter of transformation via effective usage of AI, Automation, LEAN, etc. Identify individual strengths to appropriately delegate work amongst the team. Guide and coach leads & teams for future growth. What We’re Looking For Functional and Business Knowledge: A sound understanding of Transaction dataset processes like M&A, Public Offerings, Private Placements, and understanding of various internal processes. Excellent oral and written communication skills. Strong analytical skills and out-of-the-box thinking. Proven experience in driving strategic/transformation initiatives. Stakeholder Management And Problem Solving Ensure cross-functional collaboration (across Data Excellence & Partnership, Product, Technology, etc.) for a timely and successful delivery of strategic projects. Solve a variety of problems within their operational setting. Provide solutions based on best practices and existing precedents. Experience 7-10 years of relevant experience Basic Qualifications Excellent leadership skills and people management skills. Ability to prioritize and manage multiple projects simultaneously. Proven ability to work with minimal direction, maintain focus while working with routine tasks. Strong in Time Management & Presentation Skills 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 10 - Officials or Managers (EEO-2 Job Categories-United States of America), DTMGOP103.2 - Middle Management Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316585 Posted On: 2025-07-21 Location: Hyderabad, Telangana, India

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Position Summary Job role The Global Delivery Services, Benchmarking Team Assistant Director (63) is part of a global team responsible for providing support to pursuits and engagements on the end-to-end delivery of process benchmarking. Having a functional understanding and expertise of business processes like Supply Chain, IT, Finance, Legal, Shared Services and Cyber Security, the Assistant Director partners with field practitioners to understand the project objective, identify relevant metrics for the clients and supports client data collection, validation and benchmarking analysis to identify the specific improvement areas. This position supports the management of the Benchmarking team, and is responsible for supervising, developing and mentoring benchmarking colleagues, collaborate with the development of sector/process area related benchmarking content and network with global colleagues within Benchmarking team to plan and execute on the functional objectives and goals in a consistent and seamless manner. Having a strong working knowledge of Benchmarking, analytic tools and processes, the incumbent works with client engagement teams to understand their needs and uses benchmarking tools to develop the required process metrics. The Benchmarking Team Assistant Director supports and participates in activities within the Benchmarking group identifying and capturing best practices for continuous improvement. Job Responsibilities Deliver client service(s): Manages the benchmarking request intake and triage process support to client teams Works with client teams to understand their needs and efficiently route requests to the right resources, within the team or across the network of relevant SMRs, to address request Leads process benchmarking engagement delivery; reviews data, tools and content resources available with client teams and supports benchmarking projects in a wide variety of processes like Finance, Supply Chain, IT, HR, Legal and Cyber Security Manages and drives content builds, leading all the activities involved (planning, risk mitigation, etc.) Serves as subject matter expert during customer interactions to understand the requirement and identify relevant metrics and peer groups; map client processes to benchmarking frameworks Relationship Management: Possesses strong executive presence. Builds and sustains enduring relationships with key stakeholders in the Functions as well as the knowledge community. Develops a network of key Service Lines or Sectors executives to develop benchmarking products/services to meet their needs Develops relationships with other functional teams and external vendors (e.g., APQC) to better understand how to leverage them on benchmarking projects Continuously drives awareness of the global benchmarking service offering with various service line stakeholders to ensure the team has a continuous stream of engagement support work Analytical/Decision Making Responsibilities: Manages content and data, while maintaining compliance with firm policy (e.g., data privacy, Q&RM, Independence). Must understand the parameters within which content can be shared (e.g. appropriate use of intellectual property) Leads multiple internal improvement efforts focusing on improving benchmarking efficiency and effectiveness Develops and/or reviews benchmarking deliverables incorporating insight from a content specialist, analytics team and client team Provides quality reviews to ensure highest quality client deliverables Actively works to enhance proprietary dataset by employing wide variety of techniques like client data collection and third-party data evaluation and purchase Supports multiple internal initiatives focusing on improving benchmarking efficiency and effectiveness as well as internal team initiatives Assesses appropriate use of firm branding, positioning and visual identity Team Management & People Management: Actively manages assigned team members, assigning tasks/projects and managing results Coaches’ analysts on benchmarking activities, relationship management, and project management approach and reviews their work Interfaces with team members across all global locations via regular and frequent interactions to ensure the team is effectively integrated and highly motivated Develops necessary reporting, oversight and training to ensure consistency in client team experience across global group of analysts Drives collaboration between GDS and global team members to ensure communication, information sharing and robust development of technology-based solutions Takes on people management/ counselling responsibilities Proactively promotes an inclusive work environment and flexibility to enable team members to achieve both their personal and professional goals Position requires minimal supervision to make knowledge integration decisions Knowledge and Skills Requirement Strong knowledge and understanding of Finance and Supply Chain functions. Exposure to other areas like IT, HR, Shared Services, Legal and Cyber Security is a value-add Strong working knowledge and understanding of analytics tool set like Low Code/No Code tools (PowerApps, Power Automate and PowerBI) Prior experience and hands-on in business process transformation tools and techniques Strong customer service skills to support request management and data collection Strong demonstrated ability of analytics, insight generation, data aggregation and excel capabilities Excellent data aggregation and problem-solving skills Ability to identify, research and synthesize large amounts of benchmarking data and deliver insightful solutions Demonstrates ability to identify new tools and technologies relevant for benchmarking operational and strategic priorities Proven ability to interact with leaders, stakeholders and staff; strong presentation skills; ability to present to a multicultural audience Ability to maintain and sustain relations with key sector and service line executives Proven ability to participate and work effectively as part of a team, including proactive collaboration in a globally distributed environment Demonstrated ability to plan and successfully execute multiple, complex projects across borders Strong time management, problem solving and organizational skills Self-motivated, with strong work ethics; proactive in identifying issues and opportunities Proactively promote an inclusive work environment by participating in BU, geography, area or national gender/diversity investment efforts Willingness to travel international, if required Education M.B.A. or related Master's degree preferred Other Requirements (Preferred) Knowledge of data sources like APQC, CapIQ, Avasant - Computer Economics, LESG/Refinitiv and others Knowledge of additional tools/platforms like Tibco Spotfire, Qualtrics, PowerBI, Excel/Access spreadsheets and databases) Basic Qualifications: 9+ years of professional experience applying benchmarking solutions to global professional services or related industries EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Ciklum is looking for an Expert Data Scientist to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As an Expert Data Scientist, become a part of a cross-functional development team engineering experiences of tomorrow. Responsibilities: Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets Work on exploratory data analysis so you can navigate a dataset and come out with broad conclusions based on initial appraisals Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability Work directly with business analysts and data engineers to understand and support their use cases Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes Cross-train other team members on technologies being developed, while also continuously learning new technologies from other team members Contribute to the Unit activities and community building, participate in conferences, and provide excellence in exercise and best practices Support marketing & sales activities, customer meetings and digital services through direct support for sales opportunities & providing thought leadership & content creation for the service Requirements: We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit! General technical requirements: BSc, MSc, or PhD in Mathematics, Statistics, Computer Science, Engineering, Operations Research, Econometrics, or related fields Strong knowledge of Probability Theory, Statistics, and a deep understanding of the Mathematics behind Machine Learning Proficiency with CRISP-ML(Q) or TDSP methodologies for addressing commercial problems through data science solutions Hands-on experience with various machine learning techniques, including but not limited to: Regression Classification Clustering Dimensionality reduction Proficiency in Python for developing machine learning models and conducting statistical analyses Strong understanding of data visualization tools and techniques (e.g., Python libraries such as Matplotlib, Seaborn, Plotly, etc.) and the ability to present data effectively Specific technical requirements: Proficiency in SQL for data processing, data manipulation, sampling, and reporting Experience working with imbalanced datasets and applying appropriate techniques Experience with time series data, including preprocessing, feature engineering, and forecasting Experience with outlier detection and anomaly detection Experience working with various data types: text, image, and video data Familiarity with AI/ML cloud implementations (AWS, Azure, GCP) and cloud-based AI/ML services (e.g., Amazon SageMaker, Azure ML) Domain experience: Experience with analyzing medical signals and images Expertise in building predictive models for patient outcomes, disease progression, readmissions, and population health risks Experience in extracting insights from clinical notes, medical literature, and patient-reported data using NLP and text mining techniques Familiarity with survival or time-to-event analysis Expertise in designing and analyzing data from clinical trials or research studies Experience in identifying causal relationships between treatments and outcomes, such as propensity score matching or instrumental variable techniques Understanding of healthcare regulations and standards like HIPAA, GDPR (for healthcare data), and FDA regulations for medical devices and AI in healthcare Expertise in handling sensitive healthcare data in a secure, compliant way, understanding the complexities of patient consent, de-identification, and data sharing Familiarity with decentralized data models such as federated learning to build models without transferring patient data across institutions Knowledge of interoperability standards such as HL7, SNOMED, FHIR, or DICOM Ability to work with clinicians, researchers, health administrators, and policy makers to understand problems and translate data into actionable healthcare insights Good to have skills: Experience with MLOps, including integration of machine learning pipelines into production environments, Docker, and containerization/orchestration (e.g., Kubernetes) Experience in deep learning development using TensorFlow or PyTorch libraries Experience with Large Language Models (LLMs) and Generative AI applications Advanced SQL proficiency, with experience in MS SQL Server or PostgreSQL Familiarity with platforms like Databricks and Snowflake for data engineering and analytics Experience working with Big Data technologies (e.g., Hadoop, Apache Spark) Familiarity with NoSQL databases (e.g., columnar or graph databases like Cassandra, Neo4j) Business-related requirements: Proven experience in developing data science solutions that drive measurable business impact, with a strong track record of end-to-end project execution Ability to effectively translate business problems into data science problems and create solutions from scratch using machine learning and statistical methods Excellent project management and time management skills, with the ability to manage complex, detailed work and effectively communicate progress and results to stakeholders at all levels Desirable: Research experience with peer-reviewed publications Recognized achievements in data science competitions, such as Kaggle Certifications in cloud-based machine learning services (AWS, Azure, GCP) What`s in it for you? Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, as well as financial and legal consultation Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy licence, language courses and company-paid certifications Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally Flexibility: hybrid work mode at Chennai or Pune Opportunities: we value our specialists and always find the best options for them. Our Resourcing Team helps change a project if needed to help you grow, excel professionally and fulfil your potential Global impact: work on large-scale projects that redefine industries with international and fast-growing clients Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events About us: At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game-changing solutions and take your career to the next level. Want to learn more about us? Follow us on Instagram , Facebook , LinkedIn . Explore, empower, engineer with Ciklum! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

Background Fisdom is a leading digital wealth management platform. Fisdom platform (mobile apps and web apps) provides access to consumers to a wide bouquet of financial solutions – investments, savings and protection (and many more in the pipeline). Fisdom blends cutting-edge technology with conventional financial wisdom, awesome UX and friendly customer service to make financial products simpler and more accessible to millions of Indians. We are growing and constantly looking for high performers to participate in our growth story. We have recently been certified as the great place to work. For more info, visit www.fisdom.com. Objectives of this Role Improve, execute, and effectively communicate significant analyses that identify opportunities across the business Participate in meetings with management, assessing and addressing issues to identify and implement toward operations Provide strong and timely financial and business analytic decision support to various organizational stakeholders Responsibilities Interpret data, analyze results using analytics, research methodologies, and statistical techniques Develop and implement data analyses, leverage data collection and other strategies that statistical efficiency and quality Prepare summarize various weekly, monthly, and periodic results for use by various key stakeholders Conduct full lifecycle of analytics projects, including pulling, manipulating, and exporting data from project requirements documentation to design and execution Evaluate key performance indicators, provide ongoing reports, and recommend business plan updates Skills and Qualification Bachelor’s degree, preferably in computer science, mathematics, or economics Advanced analytical skills with experience collecting, organizing, analyzing, and disseminating information with accuracy The ability to present findings in a polished way Proficiency with statistics and dataset analytics (using SQL, Python, Excel) Entrepreneurial mindset, with an innovative approach to business planning Relevant Industry Experience of more than 2 - 6years, more than 4yrs python experience is must Preferable- Product startup's, fintech Why join us and where? We have an excellent work culture and an opportunity to be a part of a growing organization with immense learning possibilities. You have an opportunity to build a brand from the scratch. All of this, along with top of the line remuneration and challenging work. You will based out of Bangalore. Skills:- Python and SQL

At Curriculum Associates, we believe in the potential of every child and are changing the face of education technology with award-winning learning programs like i-Ready that serve a third of the nation’s K–8 students. For more than 50 years, our commitment to making classrooms better places, serving educators, and supporting accessible learning experiences for all students has driven the continuous improvement of our innovative programs. Our team of more than 2,500 employees is composed of lifelong learners who stand behind this mission, working tirelessly to serve the educational community with world-class programs and support every day. Essential Duties/Responsibilities: Lead and mentor a team of BI professionals responsible for developing, maintaining, and optimizing Power BI dashboards and reports. Own the administration and governance of the Power BI platform, including workspace management, user access, dataset refreshes, and performance tuning. Ensure all business logic and data transformations are centralized in Snowflake, promoting consistency, scalability, and reusability. Collaborate with data engineering teams to align with data ingestion pipelines from AWS S3 into Snowflake, and eventually into Power BI ensuring data availability and quality. Partner with US-based analytics leaders and business stakeholders to translate reporting needs into scalable BI solutions. Standardize reporting templates, visualizations, and data models across business functions to drive consistency and efficiency. Promote best practices in data storytelling, enabling business users to derive actionable insights from dashboards. Monitor platform usage, performance, and adoption metrics to continuously improve BI delivery and impact. Document technical processes, data flows, and platform configurations to support operational continuity and knowledge sharing. Required Job Skills: Deep hands-on expertise in Power BI, Power Query, data modeling, and platform administration. Ability to lead a team of BI professionals, both in the US and India Proven experience working with Snowflake for centralized data modeling, transformation, and performance optimization. Experience supporting business functions such as Finance, Sales, or Operations with BI solutions. Strong understanding of KPI, AWS S3 and its role in data ingestion and pipeline orchestration. Demonstrated ability to manage multiple priorities, lead cross-functional initiatives, and deliver results under tight timelines. Excellent communication and stakeholder management skills, with the ability to collaborate across time zones. Minimum Qualifications: Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field. 8+ years of experience in business intelligence, analytics, or data engineering roles. 4+ years of experience managing BI or analytics teams, preferably in a global or matrixed environment. Familiarity with Agile delivery methodologies and tools (Jira) Industry certifications in Power BI, Snowflake, or AWS are a plus.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position summary Job role The Global Delivery Services, Benchmarking Team Senior associate (65) is part of a global team responsible for providing support to pursuits and engagements on the end-to-end delivery of process benchmarking. While developing a functional understanding and expertise of business processes like Supply Chain, IT, Finance, Legal, Shared Services and Cyber Security, the Senior associate partners with field practitioners to understand the project objective, identify relevant metrics for the clients and supports client data collection, validation and benchmarking analysis to identify the specific improvement areas. This role also includes responsibilities to collaborate with the development of sector/process area related benchmarking content and network with global colleagues within Benchmarking team as well as client-facing teams. Job responsibilities Deliver client service(s): Supports client engagement teams with benchmarking requests, analysis and insights in a wide variety of processes like Finance, Supply Chain, IT, HR, Legal and Cyber Security Serves in an execution role to provide end-to-end benchmarking support including data collection, validation and comparison of client’s data with benchmarks to derive areas of improvements Collaborates with the global benchmarking team to ensure program and project objectives are met Relationship Management: Supports with maintaining and sustaining relations with key executives Works closely with team leads to increase awareness of the global benchmarking service offering with various service line stakeholders Analytical/Decision Making Responsibilities: Manages content and data, while maintaining compliance with firm policy (e.g., data privacy, Q&RM, Independence) Calculates quartiles and perform ad-hoc queries on database of third party and EY client responses Supports development of benchmarking deliverables incorporating insight from content specialist, analytics team and client team Participates in quality reviews to ensure highest quality client deliverables Works to enhance proprietary dataset by employing wide variety of techniques like client data collection and third-party data evaluation and purchase Supports multiple internal initiatives focusing on improving benchmarking efficiency and effectiveness as well as internal team initiatives Knowledge and Skills Requirement Customer service skills to support request management and data collection Consider various possible courses of action before taking or recommending further steps, when routinely faced with problems that have not been encountered previously Demonstrated ability of analytics, insight generation, data aggregation and excel capabilities Ability to interact with leaders, stakeholders and staff; strong presentation skills; ability to present to a multicultural audience Ability to participate and work effectively as part of a team, including proactive collaboration in a globally distributed environment Strong time management, problem solving and organizational skills Self-motivated, with strong work ethics; proactive in identifying issues and opportunities Proactively promote an inclusive work environment by participating in Business Unit, geography, area or national gender/diversity investment efforts Report status of assigned tasks and adhere to Project deadlines Demonstrate sophisticated written and presentation skills; communicate effectively with experts and leadership Willingness to travel international, if required Education M.B.A. or related Master's degree preferred Other requirements (Preferred) Knowledge of data sources like APQC, CapIQ, Avansant Computer Economics, LESG, SSON and others Knowledge of additional tools/platforms like Qualtrics, analytics tool set like Low Code/No Code tools (PowerApps, Power Automate and PowerBI), Excel/Access spreadsheets and databases) Basic Qualifications: Approximately 1 to 3 years of professional experience Experience in core benchmarking domain and analytics, preferred EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Roles and Responsibilities Ability to work as a member of a team assigned to design and implement solutions. Data analysis - skills to conduct analysis and deliver recommendations to the team and customer. Dashboard and Dataset development - develop dashboards and datasets that meet and exceed customer requirements. Presentation skills - demonstrated ability to simplify complex situations and ideas and distil them into compelling and effective written and oral presentations. Learn quickly - the ability to understand and rapidly comprehend new areas, functional and technical, and apply detailed and critical thinking to customer solutions. Experience in vendor and/or project management Strong problem solving capabilities to participate in complex strategic initiatives Skills : Hands-on experience working with Tableau CRM,Force.com using Apex, triggers, Visualforce and LWC. Experience in documenting data flows and mapping Experience of preparing / transforming the data using custom SQL Ability to understand the best way of visualizing complex datasets Previous experience using Einstein Discovery is a plus. Must have strong communication and collaboration skills

Project Manager - Data Annotation & Human-in-the-Loop Services Company Overview We are a data annotation and human-in-the-loop services company, where we bridge the gap between artificial intelligence and human expertise to deliver high-quality training data and AI validation services for clients across various industries. Position Summary We are seeking an experienced Project Manager to lead complex data annotation projects and human-in-the-loop workflows. The ideal candidate will orchestrate cross-functional teams, manage client relationships, and ensure the delivery of high-quality annotated datasets that meet strict accuracy and timeline requirements. Key Responsibilities Project Leadership & Execution - Manage end-to-end data annotation projects from initiation to delivery, including dataset preparation, annotation guidelines development, quality assurance, and final delivery - Coordinate human-in-the-loop workflows, ensuring seamless integration between AI systems and human annotators - Develop comprehensive project plans, timelines, and resource allocation strategies - Monitor project progress and proactively identify and mitigate risks and bottlenecks - Ensure adherence to data privacy, security protocols, and compliance requirements Team Management & Coordination - Lead and motivate cross-functional teams including data annotators, quality assurance specialists, and technical staff - Manage annotator workloads and performance, providing coaching and feedback to optimize productivity and accuracy - Facilitate communication between technical teams, annotators, and stakeholders - Conduct regular team meetings and performance reviews - Foster a collaborative and quality-focused team culture Client Relationship Management - Serve as primary point of contact for assigned client accounts - Understand client requirements and translate them into actionable project specifications - Conduct regular client check-ins and progress updates - Manage client expectations and handle escalations professionally - Identify opportunities for project expansion and additional services Quality Assurance & Process Improvement - Implement and maintain quality control processes to ensure annotation accuracy and consistency - Develop and refine standard operating procedures for annotation workflows - Analyze project metrics and KPIs to identify areas for improvement - Lead continuous improvement initiatives to enhance efficiency and quality Required Qualifications Experience & Education - Minimum 5 years of project management experience, preferably in data services, AI/ML, BPO/KPO or technology sectors - Bachelor's degree in Business, Computer Science, Data Science, or related field - Experience with data annotation projects, machine learning datasets, or AI training data is an advantage - Knowledge of annotation tools and platforms (Label Studio, Supervisely, V7, or similar) Core Competencies - Excellent verbal and written communication skills with ability to explain complex technical concepts to diverse audiences - Strong people management and leadership skills with experience managing teams of 50+ members - Proven track record of delivering complex projects on time and within budget - Experience with project management methodologies - Strong analytical and problem-solving abilities Technical Skills - Proficiency in any project management tools (Jira, Asana, Monday.com, or similar) - Understanding of machine learning concepts and data requirements - Familiarity with data formats (JSON, XML, CSV) and annotation schemas - Basic understanding of computer vision, NLP, or other AI domains is an advantage - Experience with data privacy regulations (GDPR, CCPA) preferred Personal Attributes - Detail-oriented with strong organizational skills - Adaptable and comfortable working in a fast-paced environment - Customer-focused mindset with commitment to service excellence - Ability to work independently and make decisions under pressure - Strong ethical standards regarding data handling and confidentiality Preferred Qualifications - Experience with crowdsourcing or distributed workforce management - Background in linguistics, computer vision, or natural language processing is an advantage - Experience with international teams and remote workforce management - Knowledge of quality metrics and statistical analysis What We Offer - Competitive salary and performance-based bonuses - Professional development opportunities - Flexible work arrangements - Opportunity to work with cutting-edge AI technologies - Collaborative and innovative work environment - Career advancement opportunities in a growing company Application Process Please submit your resume, cover letter, and any relevant project portfolio demonstrating your experience managing data or AI-related projects. Include specific examples of team leadership and client management successes. Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹600,000.00 per year Benefits: Leave encashment Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Experience: Project management: 3 years (Required) Work Location: In person Speak with the employer +91 9843154676

About The Role Grade Level (for internal use): 09 The Role: Data Intelligence Engineer The Team: The team is responsible for building, maintaining, and evolving the data intelligence architecture, data pipelines, and visualizations. It collaborates with business partners and senior management, working within multi-functional agile teams to ensure data integrity, lineage, and security. The team values self-service, automation, and leveraging data to drive insights and improvements. The Impact: This role is pivotal in transforming raw data into actionable insights that improve productivity, reduce operational risks, and identify business opportunities. By designing and implementing robust data solutions and visualizations, the Data Intelligence Engineer directly supports data-driven decision-making across various levels of the organization. The position contributes to extracting tangible value from data assets, ultimately enhancing overall service performance and business outcomes. What’s In It For You Opportunity to design, build, and maintain a scalable, flexible, and robust data intelligence architecture, staying current with evolving technology trends. Engage in creative data science and analysis to provide actionable insights that directly influence business productivity and risk reduction strategies. Work in a dynamic environment focused on self-service and automation, with opportunities to utilize and expand knowledge in cloud environments (AWS, Azure, GCP). Collaborate within multi-functional agile teams, contributing to data-driven development and enhancing your skills in a supportive setting. Responsibilities Build and maintain the data intelligence architecture, ensuring it is scalable, flexible, robust, and cost-conscious. Design, build, and maintain efficient Data Pipelines, focusing on loose coupling, data integrity, and lineage. Develop Data Visualizations with a focus on data security, self-service capabilities, and intelligible temporal metrics to highlight risks and opportunities. Conduct creative data science and analysis to provide actionable insights aimed at improving productivity and reducing risk. Work with business partners to identify how value can be extracted from data, emphasizing self-service and automation. Define, measure, and maintain key performance metrics, statistics for senior management, customer stats, business trend analysis, and overall service statistics. What We’re Looking For Key Qualifications: Bachelor’s degree required, with an overall experience of 3 to 5 years, including 3-4 years in Data Intelligence and 2-3 years in Development & Support. Strong experience in Python or other scripting languages (e.g., Shell, PowerShell) and strong SQL skills with experience in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, DynamoDB, Redshift). Minimum 3+ years’ experience in development/automation areas, including automating data ingestion, transformation, and aggregation, and working knowledge of cloud technologies like AWS, Azure, or GCP (including Blob/flat file processing). Experience with Power BI or Tableau, including designing dashboards with trending visuals. Good to have knowledge of DAX, Power BI service, dataset refreshes, and performance optimization tools. Soft Skills Strong communication skills to effectively interact with both technical and non-technical teammates and stakeholders. Proven ability to work independently and collaborate effectively in multi-functional agile teams. Strong problem-solving and analytical skills with an understanding of agile software development processes and data-driven development. A thorough understanding of the software development life cycle and agile techniques is beneficial. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. 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 IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 316489 Posted On: 2025-07-21 Location: Gurgaon, Haryana, India

Job Title: Data Acquisition & Preparation Associate Location: Chetpet, Chennai Company: Smartan FitTech Employment Type: Full-time Experience Level: Fresher Package: Up to 3LPA About Smartan: Smartan FitTech is a deep-tech startup revolutionizing the fitness ecosystem through cutting-edge computer vision and intelligent systems. We are currently expanding our team to support the development of AI-driven fitness products and solutions. Role Overview: We are looking for a meticulous and tech-savvy individual to support our AI and engineering teams in data-related operations. This role focuses on managing the complete data acquisition pipeline — from raw data collection to final dataset preparation enabling high-quality inputs for machine learning and system calibration. Important: This job requires frequent travel to data collection sites. Key Responsibilities: • Perform data collection in various indoor and outdoor environments, adhering to required protocols. • Carry out data segregation based on pre-defined labels, attributes, and usability. • Prepare structured datasets for training, validation, and testing purposes. • Upload and organize data into specified directories in alignment with our version control and storage systems. • Conduct camera calibration and ensure all sensor systems are ready for data acquisition. • Coordinate with the AI and software teams to meet data format and quality requirements. • Maintain documentation of data collection sessions, file naming conventions, and calibration logs. Required Skills: • Basic understanding of image/video data formats, storage structures, and annotation workflows. • Experience or willingness to learn camera calibration and sensor setup. • Familiarity with tools like OpenCV, Python (optional but preferred), and data transfer protocols. • Ability to follow structured protocols and pay attention to detail. • Good organizational and file management skills. Preferred Qualifications: • Bachelor's degree or diploma in any field. • Previous internship or project experience in data collection or preparation for machine learning. • Background in Computer Science, Electronics, AI, Data Science, or related fields. • Familiarity with computer vision pipelines is a plus. Why Join Us? • Opportunity to work on cutting-edge AI & computer vision systems. • Be part of a growing startup shaping the future of intelligent fitness tech. • Collaborative work culture with exposure to cross-functional teams.

About the Role: Grade Level (for internal use): 11 The Team: The Transactions team’s mission is to produce the most actionable, transparent, trusted, and comprehensive data and insights in the marketplace for critical corporate events like Mergers & Acquisitions, Public Offerings, Investor Activism, Equity Buybacks, and Bankruptcies. The Role: We seek a dynamic and strategic Senior Manager to lead a global data operations team responsible for collecting in-depth insights on the M&A dataset within the Transactions data operations. This leadership position is pivotal in ensuring both the integrity of our data assets and exceptional client satisfaction. You will be directly leading a group of frontline managers + data specialists and will be expected to bring a unique blend of operational rigor, talent engagement, and a commitment to continuous improvement. The Impact: This role involves leading a group of frontline managers + data specialists, and the candidate is expected to bring a unique blend of operational rigor, talent engagement, and a commitment to continuous improvement. It also warrants other leaders within Transactions and teams within the domain/cluster/content organization to drive various projects and initiatives to deliver best-in-class, differentiated content to meet and exceed client expectations. What’s in it for you: This is an opportunity to manage leaders and/or individual contributors and contribute towards achieving the business results. Accountability would be towards understanding and owning the business objectives; be a role model for people and peer groups; communicate with passion and enthusiasm, embrace change as a way of working; and lead by example when communicating new initiatives. Responsibilities: Manage multiple teams working on collection/value-added tasks within Transactions. Lead teams across assigned business/region for workflow systems with a focus on managing process, productivity, and functionality improvements. Effective coordination and constructive relationships within internal, intra-cluster, and other verticals across EDO. May interact with internal and external clients as necessary, and occasionally work on new projects and data enhancement initiatives as assigned. Own the performance measurement processes, talent development, team engagement, and VIBE for respective teams. Generate and timely share status reports/updates to relevant stakeholders. Manage/support multiple operational or project/focused teams across offices in the planning and implementation of process and operational changes across different teams. Proven ambassador of innovative culture and promoter of transformation via effective usage of AI, Automation, LEAN, etc. Identify individual strengths to appropriately delegate work amongst the team. Guide and coach leads & teams for future growth. What we’re looking for: Functional and Business Knowledge: A sound understanding of Transaction dataset processes like M&A, Public Offerings, Private Placements, and understanding of various internal processes. Excellent oral and written communication skills. Strong analytical skills and out-of-the-box thinking. Proven experience in driving strategic/transformation initiatives. Stakeholder Management and Problem Solving: Ensure cross-functional collaboration (across Data Excellence & Partnership, Product, Technology, etc.) for a timely and successful delivery of strategic projects. Solve a variety of problems within their operational setting. Provide solutions based on best practices and existing precedents. Experience 7-10 years of relevant experience Basic Qualifications: Excellent leadership skills and people management skills. Ability to prioritize and manage multiple projects simultaneously. Proven ability to work with minimal direction, maintain focus while working with routine tasks. Strong in Time Management & Presentation Skills 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 ----------------------------------------------------------- 10 - Officials or Managers (EEO-2 Job Categories-United States of America), DTMGOP103.2 - Middle Management Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316585 Posted On: 2025-07-21 Location: Hyderabad, Telangana, India

Senior Manager Hyderabad, India Data Management 316585 Job Description About The Role: Grade Level (for internal use): 11 The Team: The Transactions team’s mission is to produce the most actionable, transparent, trusted, and comprehensive data and insights in the marketplace for critical corporate events like Mergers & Acquisitions, Public Offerings, Investor Activism, Equity Buybacks, and Bankruptcies. The Role: We seek a dynamic and strategic Senior Manager to lead a global data operations team responsible for collecting in-depth insights on the M&A dataset within the Transactions data operations. This leadership position is pivotal in ensuring both the integrity of our data assets and exceptional client satisfaction. You will be directly leading a group of frontline managers + data specialists and will be expected to bring a unique blend of operational rigor, talent engagement, and a commitment to continuous improvement. The Impact: This role involves leading a group of frontline managers + data specialists, and the candidate is expected to bring a unique blend of operational rigor, talent engagement, and a commitment to continuous improvement. It also warrants other leaders within Transactions and teams within the domain/cluster/content organization to drive various projects and initiatives to deliver best-in-class, differentiated content to meet and exceed client expectations. What’s in it for you: This is an opportunity to manage leaders and/or individual contributors and contribute towards achieving the business results. Accountability would be towards understanding and owning the business objectives; be a role model for people and peer groups; communicate with passion and enthusiasm, embrace change as a way of working; and lead by example when communicating new initiatives. Responsibilities: Manage multiple teams working on collection/value-added tasks within Transactions. Lead teams across assigned business/region for workflow systems with a focus on managing process, productivity, and functionality improvements. Effective coordination and constructive relationships within internal, intra-cluster, and other verticals across EDO. May interact with internal and external clients as necessary, and occasionally work on new projects and data enhancement initiatives as assigned. Own the performance measurement processes, talent development, team engagement, and VIBE for respective teams. Generate and timely share status reports/updates to relevant stakeholders. Manage/support multiple operational or project/focused teams across offices in the planning and implementation of process and operational changes across different teams. Proven ambassador of innovative culture and promoter of transformation via effective usage of AI, Automation, LEAN, etc. Identify individual strengths to appropriately delegate work amongst the team. Guide and coach leads & teams for future growth. What we’re looking for: Functional and Business Knowledge: A sound understanding of Transaction dataset processes like M&A, Public Offerings, Private Placements, and understanding of various internal processes. Excellent oral and written communication skills. Strong analytical skills and out-of-the-box thinking. Proven experience in driving strategic/transformation initiatives. Stakeholder Management and Problem Solving: Ensure cross-functional collaboration (across Data Excellence & Partnership, Product, Technology, etc.) for a timely and successful delivery of strategic projects. Solve a variety of problems within their operational setting. Provide solutions based on best practices and existing precedents. Experience 7-10 years of relevant experience Basic Qualifications: Excellent leadership skills and people management skills. Ability to prioritize and manage multiple projects simultaneously. Proven ability to work with minimal direction, maintain focus while working with routine tasks. Strong in Time Management & Presentation Skills 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 - 10 - Officials or Managers (EEO-2 Job Categories-United States of America), DTMGOP103.2 - Middle Management Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316585 Posted On: 2025-07-21 Location: Hyderabad, Telangana, India

HEROIC Cybersecurity ( HEROIC.com ) is seeking a Senior Data Infrastructure Engineer with deep expertise in DataStax Enterprise (DSE) and Apache Cassandra to help architect, scale, and maintain the data infrastructure that powers our cybersecurity intelligence platforms. You will be responsible for designing and managing fully automated, big data pipelines that ingest, process, and serve hundreds of billions of breached and leaked records sourced from the surface, deep, and dark web. You'll work with DSE Cassandra, Solr, and Spark, helping us move toward a 99% automated pipeline for data ingestion, enrichment, deduplication, and indexing — all built for scale, speed, and reliability. This position is critical in ensuring our systems are fast, reliable, and resilient as we ingest thousands of unique datasets daily from global threat intelligence sources. What you will do: Design, deploy, and maintain high-performance Cassandra clusters using DataStax Enterprise (DSE) Architect and optimize automated data pipelines to ingest, clean, enrich, and store billions of records daily Configure and manage DSE Solr and Spark to support search and distributed processing at scale Automate dataset ingestion workflows from unstructured surface, deep, and dark web sources Cluster management, replication strategy, capacity planning, and performance tuning Ensure data integrity, availability, and security across all distributed systems Write and manage ETL processes, scripts, and APIs to support data flow automation Monitor systems for bottlenecks, optimize queries and indexes, and resolve production issues Research and integrate third-party data tools or AI-based enhancements (e.g., smart data parsing, deduplication, ML-based classification) Collaborate with engineering, data science, and product teams to support HEROIC’s AI-powered cybersecurity platform Requirements Minimum 5 years experience with Cassandra / DataStax Enterprise in production environments Hands-on experience with DSE Cassandra, Solr, Apache Spark, CQL, and data modeling at scale Strong understanding of NoSQL architecture, sharding, replication, and high availability Advanced knowledge of Linux/Unix, shell scripting, and automation tools (e.g., Ansible, Terraform) Proficient in at least one programming language: Python, Java, or Scala Experience building large-scale automated data ingestion systems or ETL workflows Solid grasp of AI-enhanced data processing, including smart cleaning, deduplication, and classification Excellent written and spoken English communication skills Prior experience with cybersecurity or dark web data (preferred but not required) Benefits Position Type: Full-time Location: Pune, India (Remote – Work from anywhere) Compensation: Competitive salary based on experience Benefits: Paid Time Off + Public Holidays Professional Growth: Amazing upward mobility in a rapidly expanding company. Innovative Culture: Fast-paced, innovative, and mission-driven. Be part of a team that leverages AI and cutting-edge technologies. About Us: HEROIC Cybersecurity ( HEROIC.com ) is building the future of cybersecurity. Unlike traditional cybersecurity solutions, HEROIC takes a predictive and proactive approach to intelligently secure our users before an attack or threat occurs. Our work environment is fast-paced, challenging and exciting. At HEROIC, you’ll work with a team of passionate, engaged individuals dedicated to intelligently securing the technology of people all over the world. Position Keywords: DataStax Enterprise (DSE), Apache Cassandra, Apache Spark, Apache Solr, AWS, Jira, NoSQL, CQL (Cassandra Query Language), Data Modeling, Data Replication, ETL Pipelines, Data Deduplication, Data Lake, Linux/Unix Administration, Bash, Docker, Kubernetes, CI/CD, Python, Java, Distributed Systems, Cluster Management, Performance Tuning, High Availability, Disaster Recovery, AI-based Automation, Artificial Intelligence, Big Data, Dark Web Data

Execute the customer projects with high quality, cost and deliverables within agreed timelines with close follow-ups with internal CFTs & customers. Calibration work packages, Vehicle calibration, Documenting in the form of development reports Vehicle functions :- Veh speed acquisition, Vehicle drivability, Low & high idle governing, Start system, Expedition (Summer, winter & Altitude), Gear detection, Top speed limitation, FAS, Smoke limitation. Special functions: - ZFC, FBC, Dew point detection, FMO, P4 modelling. Dataset and project management, ARCs, PRCs, SSDs & CSSDs checks - follow ups with internal CFTs. Label responsibility list. INCA Flow, iCDM, vCDM, E-Handbook and Uniplot usage PSR-C for dataset containerization OHW specific functions (CEV & genset calibration) Preparation of first firing activities. Executing necessary preliminary tests on the labcar Preparing necessary test set up for calibration activities on the Engine/vehicle Executing necessary measurements on the engine & Vehicles based on functional experts requirements Executing calibration activities on the dyno and real driving conditions Participation in customer discussion and updating the status on regularly Creating the calibration development reports Calibration review with calibration functional experts Field data analysis and report creation Frequent update to calibration activity status to internal team and customers Calibration data and status update in ICDM & VCDM Handling of test vehicles as per the predefine procedure Participation in vehicle expedition at extreme ambient conditions Support for calibration efficiency improvements and innovation Calibration automation and tools development Domestic travel to customer site for calibration activities

Job Title: Tech Lead – Software Engineer (LLM Evaluation & Dataset Creation) Location: Remote Employment Type: Contractor Assignment (No medical/paid leave) Start Date: Immediate (Max Notice Period: 1 week) Contract Duration: 3 Months Work Commitment: First Priority: 40 hrs/week with PST overlap (No dual employment allowed) Second Priority: 30 hrs/week with PST overlap Third Priority: 20 hrs/week with PST overlap (Part-time/dual employment allowed) About the Project: We are hiring for our client, who is working on building high-quality LLM evaluation and training datasets to enable large language models (LLMs) to solve realistic software engineering (SWE) problems . The project involves synthetic data generation with human-in-the-loop validation , using public GitHub repositories to construct diverse and verifiable SWE tasks. The goal is to create datasets that span a variety of programming languages, complexity levels, and task types—pushing the boundaries of how LLMs interact with real-world code. About the Role: We are seeking experienced software engineers (Tech Lead level) who are well-versed in open-source codebases and capable of contributing to this innovative project. This is a hands-on engineering role combining real-world development with AI research , giving you a front-row seat in the evolution of AI-assisted coding . Why Join This Project? This opportunity places you at the forefront of how AI models interact with real-world software , blending practical engineering with experimental LLM evaluation. You’ll work on impactful use cases that shape the future of AI-assisted software development . Day-to-Day Responsibilities: Analyze and triage GitHub issues from trending open-source repositories Set up and configure codebases with Docker , development environment automation, and dependency resolution Evaluate unit test coverage and quality Run and modify real-world codebases to assess LLM performance in bug-fixing scenarios Collaborate with AI researchers to identify and curate challenging coding tasks Contribute to repository selection , issue evaluation, and test scenario generation Option to lead and guide a team of junior engineers Must-Have Skills & Experience: Minimum 5–7 years of professional software engineering experience At least 3+ years of Java development experience Strong experience with Git , Docker , and local development environments Ability to navigate, modify, and test complex open-source codebases Excellent problem-solving and debugging skills Comfortable working independently and collaborating in research-driven environments Nice to Have: Previous involvement in LLM research or evaluation projects Contributions to open-source projects Experience in building or testing developer tools , code analyzers, or automation frameworks

What You’ll Work On 1. Deep Learning & Computer Vision Train models for image classification: binary/multi-class using CNNs, EfficientNet, or custom backbones. Implement object detection using YOLOv5, Faster R-CNN, SSD; tune NMS and anchor boxes for medical contexts. Work with semantic segmentation models (UNet, DeepLabV3+) for region-level diagnostics (e.g., cell, lesion, or nucleus boundaries). Apply instance segmentation (e.g., Mask R-CNN) for microscopy image cell separation. Use super-resolution and denoising networks (SRCNN, Real-ESRGAN) to enhance low-quality inputs. Develop temporal comparison pipelines for changes across image sequences (e.g., disease progression). Leverage data augmentation libraries (Albumentations, imgaug) for low-data domains. 2. Vision-Language Models (VLMs) Fine-tune CLIP, BLIP, LLaVA, GPT-4V to generate explanations, labels, or descriptions from images. Build image captioning models (Show-Attend-Tell, Transformer-based) using paired datasets. Train or use VQA pipelines for image-question-answer triples. Align text and image embeddings with contrastive loss (InfoNCE), cosine similarity, or projection heads. Design prompt-based pipelines for zero-shot visual understanding. Evaluate using metrics like BLEU, CIDEr, SPICE, Recall@K, etc. 3. Model Training, Evaluation & Interpretation Use PyTorch (core), with support from HuggingFace, torchvision, timm, Lightning. Track model performance with TensorBoard, Weights & Biases, MLflow. Implement cross-validation, early stopping, LR schedulers, warm restarts. Visualize model internals using GradCAM, SHAP, Attention rollout, etc. Evaluate metrics: • Classification: Accuracy, ROC-AUC, F1 • Segmentation: IoU, Dice Coefficient • Detection: mAP • Captioning/VQA: BLEU, METEOR 4. Optimization & Deployment Convert models to ONNX, TorchScript, or TFLite for portable inference. Apply quantization-aware training, post-training quantization, and pruning. Optimize for low-power inference using TensorRT or OpenVINO. Build multi-threaded or asynchronous pipelines for batched inference. 5. Edge & Real-Time Systems Deploy models on Jetson Nano/Xavier, Coral TPU. Handle real-time camera inputs using OpenCV, GStreamer and apply streaming inference. Handle multiple camera/image feeds for simultaneous diagnostics. 6. Regulatory-Ready AI Development Maintain model lineage, performance logs, and validation trails for 21 CFR Part 11 and ISO 13485 readiness. Contribute to validation reports, IQ/OQ/PQ, and reproducibility documentation. Write SOPs and datasheets to support clinical validation of AI components. 7. DevOps, CI/CD & MLOps Use Azure Boards + DevOps Pipelines (YAML) to: Track sprints • Assign tasks • Maintain epics & user stories • Trigger auto-validation pipelines (lint, unit tests, inference validation) on code push • Integrate MLflow or custom logs for model lifecycle tracking. • Use GitHub Actions for cross-platform model validation across environments. 8. Bonus Skills (Preferred but Not Mandatory) Experience in microscopy or pathology data (TIFF, NDPI, DICOM formats). Knowledge of OCR + CV hybrid pipelines for slide/dataset annotation. Experience with streamlit, Gradio, or Flask for AI UX prototyping. Understanding of active learning or semi-supervised learning in low-label settings. Exposure to research publishing, IP filing, or open-source contributions. 9. Required Background 4–6 years in applied deep learning (post academia) Strong foundation in: Python + PyTorch CV workflows (classification, detection, segmentation) Transformer architectures & attention VLMs or multimodal learning Bachelor’s or Master’s degree in CS, AI, EE, Biomedical Engg, or related field 10. How to Apply Send the following to info@sciverse.co.in Subject: Application – AI Research Engineer (4–8 Yrs, CV + VLM) Include: • Your updated CV • GitHub / Portfolio • Short write-up on a model or pipeline you built and why you’re proud of it OR apply directly via LinkedIn — but email applications get faster visibility. Let’s build AI that sees, understands, and impacts lives.

At Adeptiv.AI, we're building the most advanced AI Governance Platform for enterprises. Our flagship Real-Time Evaluation module empowers businesses to test, evaluate, and trust their AI systems. We're now expanding this module to support ML models, explainability frameworks, and diverse AI use cases, and we're looking for a Senior AI Evaluation Engineer subject matter expert to lead this transformation. This role is ideal for someone who lives and breathes AI/ML evaluation, loves digging deep into models, and can bridge the gap between theory and production-grade software. Key Responsibilities: Design and lead the implementation of evaluation frameworks for ML and Gen AI systems. Define and guide the evaluation of different AI/ML metrics, such as Accuracy, Precision, Recall, AUC, BLEU, ROUGE, METEOR, etc. Develop strategies for model robustness, bias detection, and fairness evaluations. Implement tools like SHAP, LIME, Captum, DeepChecks, Foolbox, Evidently AI, Alibi Detect, etc. Define pipelines for automated test case execution, continuous evaluation, and report generation. Guide and mentor full-stack and backend engineers in integrating AI/ML testing logic into production-ready services. Establish standards for test dataset generation, edge-case simulation, and benchmarking. Validate the correctness of evaluations across supported AI use cases. Stay ahead of the curve on emerging research in AI evaluations and bring insights into the product. Must-Have Skills & Experience: 5+ years in AI/ML focused on the evaluation and testing of AI / ML systems Deep expertise in traditional ML evaluation, Computer Vision, and Generative AI metrics Strong familiarity with explainability tools (SHAP, LIME, Integrated Gradients, etc.) Experience evaluating models in one or more domains: NLP, Computer Vision, Tabular Data, Reinforcement Learning Hands-on experience with libraries like scikit-learn, huggingface, transformers, OpenAI, LangChain, TorchMetrics, Evidently, etc. Experience working in collaboration with engineering teams to productize evaluation pipelines Strong Python development and scripting capabilities Solid understanding of AI reliability, robustness, fairness, and auditability Good to Have: Experience with LLM evaluation, hallucination detection, and prompt scoring Prior contributions to AI testing or monitoring tools or open-source projects Understanding of MLOps/LLMOps workflows Familiarity with CI/CD of model evaluations in production Awareness of AI compliance and audit frameworks (like EU AI Act, NIST AI RMF) What You'll Bring A rigorous scientific mindset, but with a builder's attitude A passion to make AI trustworthy for enterprises Strong communication skills to work cross-functionally with product & engineering High ownership to shape a strategic product module from scratch Why Join Us? Be part of a cutting-edge product solving real challenges in AI Governance. Work directly with the founding team and make a massive impact in enterprises. Opportunity to influence the future of AI evaluation and reliability.

Dear Future Colleague, Thank you for your interest in working with us. We welcome you to explore our firm and together evaluate if a shared journey awaits us. At its core, XQtiv is a global talent advisory firm. We are dedicated to solving complex talent problems for our clients from hiring top-notch talent to evaluating current and incumbent leaders. But the advent of AI is changing our methods and ways of working in a significant manner. We are investing to build a TALENT INTELLIGENCE PLATFORM that will significantly impact how we go to market and execute leadership searches. As an Associate - Talent Intelligence at XQtiv, you will play a crucial role in this transition. While being part of the Search team, where you will execute global search mandates, you will also be building high-quality candidate datasets to be further deployed on platform. Once you have achieved maturity as a search consultant, you will pivot to deploying your expertise and depth in platform adoption on the dataset that you have built and taking it to market. This is an on – site role in our office in Powai, Mumbai. Specifically, we seek expertise in: Strategic Research and Analysis Project Management Talent Assessment and Evaluation Relationship Building Support Business Development Table Stakes Microsoft Office particularly PowerPoint, Excel, Power BI etc. Adept in research and insight generation/ synthesis Understanding of business fundamentals as well as complex business contexts Professional maturity to interact with senior executives Comfort with ambiguity and changing priorities What you can expect A rewarding career and a platform to leverage your skills for achieving significant outcomes Remuneration with incentives An educative and empowering atmosphere A welcoming team invested in your growth! We look forward to speaking with you to understand how we can positively impact the careers of our candidates and shape the future of our clients.

Job Description GalaxEye is a Space-Tech startup at the forefront of innovation, we are pioneering the World's First Multi-Sensor Earth Observation Satellite and aiming to build a constellation of indigenous micro-satellites with advanced data fusion capabilities. Our upcoming satellite Mission Drishti slated for launch in 2025, will set a global benchmark as the “World's First Multi-Sensor Satellite” integrating both SAR (Synthetic Aperture Radar) & MSI (Multi-Spectral Imaging) sensors on a single platform. A member of the Image Processing team, you will research, design, implement, optimize and deploy image processing algorithms to evolve our AI ecosystem continuously. The usual day-to-day tasks include developing the optical processing pipeline for various platforms, implementing new image processing algorithms, calibration of the sensors, fine-tuning them on our data, reviewing performance metrics, integrating and optimising the algorithms to run efficiently in our platform while continuously iterating and improving based on real-world performance. Responsibilities Select, test, implement and optimize image processing and image analysis using both classical and deep learning methods to extract relevant signals from imaging data Design and implement algorithms to carry out image processing including filtering, alignment, segmentation, and feature extraction efficiently across multi-terabyte sized datasets Research and fine-tune the latest image processing algorithms on our dataset to run efficiently while optimising based on real-time performance Write robust, well-documented, and well-tested code libraries that adhere to community standards and best practices Image Processing Engineer to Develop CI/CD pipeline patterns and best practices Collaborating with a team of data scientists, DevOps, Data engineers, and ML engineers Requirements Strong Foundation in Mathematical Statistics. Logical Thinking & Ability to Comprehend key facts. Background in basic image processing or basic signal processing will be preferred Experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting and Linux environment. Proficiency in Python and C++ Programming is a must. Preferred Experience in remote sensing or related fields. Ability to collaborate effectively across the team A detail-oriented team member who can consistently meet deadlines. Benefits Be a part of India’s leading space-tech satellite technology company. Work closely with new age leaders and gain hands-on experience in strategy and operations. Thrive in a collaborative and growth-oriented startup culture. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#5BBD6E;border-color:#5BBD6E;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Job Description Principal Software Development Engineer – Ticketing Platform Engineering At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. Values are OCI’s foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of really experienced, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you’ll belong and be encouraged. About Oracle Cloud Infrastructure (OCI) The next 5-10 years will see the software industry move from on-premise software solutions towards software delivery via cloud-based services. Oracle’s number one strength is the size and strength of our software portfolio to which most of the business world heavily uses. Our vision is to bring our customers to the Cloud. From our app server and development tools to our dataset and people management software, Oracle already has the core infrastructure that all of this is built on. The future is about providing higher level services that companies can consume on demand. Oracle is now recognized as a significant hyper-scale cloud provider offering hybrid capabilities, bridging the gap between on premise infrastructure and the Cloud to manage workloads in a secure, efficient, and cost-effective way. Who are we looking for? The Oracle ticketing Platform Engineering group is looking for a Principal Software Development Engineer with expertise and passion in building and growing services within large scale global cloud environment. Our mission is to provide critical tools and experiences to OCI operations and service teams across Oracle. This role will be responsible for designing, and implementing large, complex, and deeply integrated tooling services for Oracle Cloud Infrastructure. OCI is central to multiple businesses within Oracle, and cross organizational collaboration is common. We are looking for a deeply technical engineer that can thrive in this environment and provide designs and technical standards to implement large complex multi system integrations and platforms that will modernize how we do business as an Enterprise. We are looking for a candidate with a proven track record and the ability to lead execution while the product suite is growing and evolving. An innovator mentality is a must, the ability to roll up your sleeves and create designs, drive standards of implementation, create and streamline complex integration patterns, and write code are expected. You are the technical champion for our organization, and you will be responsible for creating our technical strategy for the ever-evolving product suite. You are a technology leader. You will influence the decisions of senior business leaders through effective verbal and written communication, logical reasoning, and the presentation of key timelines and service evolution. You will mentor and grow the technical talent within the organization, and you will ensure the technical roadmap is adhered to as we integrate our service across OCI. Responsibilities Include: Work with senior architects and product management to define requirements Design and implement new features Define and guide engineering processes and procedures Review code written by your peers to ensure correctness and fit with the team's overall design principles Work with the team to operate services that host massive amounts of data Solid technically - You will build and improve component design/code for efficiency, performance, simplicity , scale and resiliency. Acumen for test coverage, observability, availability, durability Cloud Infra operations - LSE mitigation experience , CAPA, Observability improvements, Tooling Collaborate with the OCI Engineering communities Minimum qualifications: 10+ years of experience architecting, designing, and implementing enterprise server-side Java application Proven success in building high-volume, low latency cloud services using latest cloud native capabilities, Java/J2EE technologies and open source frameworks Experience in building secure applications using J2EE, role- based authorization, and Single Sign On. 5+ years of experience working with leading cloud platforms such as OCI, AWS, Azure and managing service in production. Experience in Infrastructure as code tools like terraform and Ansible An exceptional communicator who can write, present and effectively adjust messages to meet individual audiences and organizations Solid organization, communication and interpersonal skills Experience in mentoring and growing developers with many members located remotely and others that support success through a matrixed environment. Strong understanding of the Database systems. EDUCATION A Computer Science degree is preferred. An advanced degree is a plus. Career Level - IC4 Responsibilities Responsibilities Include: Work with senior architects and product management to define requirements Design and implement new features Define and guide engineering processes and procedures Review code written by your peers to ensure correctness and fit with the team's overall design principles Work with the team to operate services that host massive amounts of data Solid technically - You will build and improve component design/code for efficiency, performance, simplicity , scale and resiliency. Acumen for test coverage, observability, availability, durability Cloud Infra operations - LSE mitigation experience , CAPA, Observability improvements, Tooling Collaborate with the OCI Engineering communities Minimum qualifications: 10+ years of experience architecting, designing, and implementing enterprise server-side Java application Proven success in building high-volume, low latency cloud services using latest cloud native capabilities, Java/J2EE technologies and open source frameworks Experience in building secure applications using J2EE, role- based authorization, and Single Sign On. 5+ years of experience working with leading cloud platforms such as OCI, AWS, Azure and managing service in production. Experience in Infrastructure as code tools like terraform and Ansible An exceptional communicator who can write, present and effectively adjust messages to meet individual audiences and organizations Solid organization, communication and interpersonal skills Experience in mentoring and growing developers with many members located remotely and others that support success through a matrixed environment. Strong understanding of the Database systems. EDUCATION A Computer Science degree is preferred. An advanced degree is a plus. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.