1137 Ocr Jobs - Page 20

Job Title - Platforms Consultant Level - Consultant - S&C GN-CFO&EV Management Level: 09 – Consultant Location: Gurgaon, Mumbai, Bangalore, Pune, Hyderabad Must have skills: SAP FICO Implementation Good to have skills: Generic FICO, PS + Investment mgt, DRC, FSCM, CO, VIM+FI, OCR, Functional MDG, AFC/FCC, SAP ICMR, Intercompany, SAP CFIN Job Summary Have been part of at least 3 end to end SAP implementations. Out of which 1 in S4 Understand the SAP roadmap for S/4 HANA and become a trusted advisor for clients in driving their S/4 HANA adoption. Have experience in defining a Business Case for S4 Transformation and RoI calculations. Have worked in the capacity of Solution Architect / Design Authority in Past and have done lot of advisory work for ERP’s for e.g. Product selection, Value realization, Fit Gap Assessment etc. Work closely with clients to understand their issues, define IT strategies, architecture solutions, win buy-in for your recommendations. Drive sales pipeline and independently own proposals related to Finance / Multi-function S/4 HANA engagements. Lead and transform the consulting industry by developing some key Assets and Accelerators which can help Clients in their digital transformation journey. Provide direction for complex SAP S/4 HANA issues, and can collaborate with the business and developers and execute on agreed timelines. Provide consulting solutions including how to leverage standard SAP S/4 HANA functionality and how to enable requirements while maximizing the ROI Lead intelligent conversations to guide clients through best-practice project scoping and delivery to ensure overall project success in implementing SAP S/4 HANA Have ability to manage project execution and manage client conversations during assessment, design, implementation, and status reporting Lead the problem solution design and implementation ensuring high quality adhering to the timelines and defined budget Supervision of Accenture Managers, Senior and Junior analysts and consultants and client personnel to drive delivery outcomes. Roles & Responsibilities Should know how to lead and deliver S/4 HANA engagements across different implementation approaches including excellent understanding of client business processes, pain points, S/4 HANA solution options and organization structure Should know how to drive and build sales pipeline including BDs and Proposals Should be aware of digital finance technologies that drives business processes Should know how to lead business case creation for SAP design to implementation projects Drive continuous improvement capability with regards to methodology, tools, practices and maturity Professional & Technical Skills MBA from a Tier-1 or Tier-2 B-school. CA or CPA 4-7 years of work experience preferably with at least three of the following: 1+ years’ experience of working on S4HANA 2+ years’ experience of working on SAP FICO 4+years’ experience in Finance Technology relevant projects At least one end-to-end implementation experience At least 2 years of consulting experience in a big4 or similar firms Process Expertise in Finance, accounting, treasury or tax operations. Finance business process knowledge related to Organization Structure, Master Data, Accounts Payable, Accounts Receivable, Asset Accounting, General Ledger, Chart of Accounts, Taxation, Treasury, etc. Experience in SAP Reporting capabilities in BI/BO, BW, SAC, etc. Understanding of SAP and Allied Systems’ Reporting and Customization capabilities Understanding of Fiori and Dashboard development capabilities in SAP Core ERP and Allied Systems Deep knowledge and experience in SAP System Integration projects, namely, SAP ECC and S/4HANA Finance modules / applications Drawing on extensive knowledge and experience across SAP System Integration projects to be able to deliver projects on design and implementation Proactive interest or certification in technologies other than SAP (Data science, blockchain, blackline, big data etc) would be added advantage Supervision of Accenture analysts and client personnel in limited capacity Ability to work independently with minimal supervision Additional Information An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything—from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Our Company | Accenture

About Us We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence. As a trusted voice for many of the world’s most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations. About The Role The Data Management Manager is responsible for overseeing the accurate, efficient, and timely collection, entry, and validation of data across the organization. This role ensures that data is captured in compliance with company policies and industry regulations while optimizing processes for speed and accuracy. The ideal candidate will have strong organizational skills, experience in data entry management, and the ability to lead a team of data capturers or engineers. Key Responsibilities Data Collection & Entry Oversight: Manage and supervise a team of data capturers to ensure high-quality, error-free data entry. Develop and enforce standardized data capture procedures and workflows. Ensure timely and accurate digitization of paper records, forms, or digital inputs. Quality Assurance & Validation Implement quality control measures to verify data accuracy and completeness. Conduct regular audits and spot checks to identify and correct discrepancies. Resolve data inconsistencies in collaboration with relevant departments. Process Improvement Identify inefficiencies in data capture processes and recommend automation or optimization solutions. Work with IT teams to integrate new tools (e.g., OCR, RPA, or AI-based data extraction). Train staff on best practices for manual and automated data entry. Compliance & Security Ensure compliance with data privacy laws (e.g., GDPR, POPIA, or industry-specific regulations). Maintain secure handling and storage of sensitive or confidential information. Document data capture policies and ensure adherence across teams. Team Leadership & Reporting Recruit, train, and manage data capture personnel. Monitor team performance and provide feedback for improvement. Generate reports on data capture metrics (e.g., volume, accuracy, turnaround time). What we offer Flexible work arrangements for better work-life balance Generous Paid Leaves (Annual, Sick, Compassionate, Local Public, Marriage, Maternity, Paternity, Medical leave) Medical benefits ( Insurance and Annual Health Check-up) Pension and Insurance Policies (Group Term Life Insurance, Group Personal Accident Insurance, Travel Insurance) Training and Development Assistance (Training Sponsorship, On-The-Job Training, Training Programme) Additional Benefits (Long Service Awards, Mobile Phone Reimbursement) Company bonus/Profit share. *Benefits may vary based on position, tenure/contract/grade level* DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity. About You Qualifications & Skills: Education: Degree in Marine Engineering, Data Management or related field. Experience Experience in marine engineering data management 5+ years in data entry, records management, or a similar role. 2+ years in a supervisory or team leadership position. Experience with data capture tools (e.g., OCR software, ERP systems, or CRM databases). Technical Skills Proficiency in Excel, database and Planned Maintenance software. Familiarity with data validation techniques and error tracking. Basic understanding of automation tools (e.g., UiPath, Power Automate) is a plus. Soft Skills Strong attention to detail and organizational abilities. Excellent communication and team management skills. Ability to work under tight deadlines with minimal errors.

About Us We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence. As a trusted voice for many of the world’s most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations. About The Role The Data Management Manager is responsible for overseeing the accurate, efficient, and timely collection, entry, and validation of data across the organization. This role ensures that data is captured in compliance with company policies and industry regulations while optimizing processes for speed and accuracy. The ideal candidate will have strong organizational skills, experience in data entry management, and the ability to lead a team of data capturers or engineers. Key Responsibilities Data Collection & Entry Oversight: Manage and supervise a team of data capturers to ensure high-quality, error-free data entry. Develop and enforce standardized data capture procedures and workflows. Ensure timely and accurate digitization of paper records, forms, or digital inputs. Quality Assurance & Validation Implement quality control measures to verify data accuracy and completeness. Conduct regular audits and spot checks to identify and correct discrepancies. Resolve data inconsistencies in collaboration with relevant departments. Process Improvement Identify inefficiencies in data capture processes and recommend automation or optimization solutions. Work with IT teams to integrate new tools (e.g., OCR, RPA, or AI-based data extraction). Train staff on best practices for manual and automated data entry. Compliance & Security Ensure compliance with data privacy laws (e.g., GDPR, POPIA, or industry-specific regulations). Maintain secure handling and storage of sensitive or confidential information. Document data capture policies and ensure adherence across teams. Team Leadership & Reporting Recruit, train, and manage data capture personnel. Monitor team performance and provide feedback for improvement. Generate reports on data capture metrics (e.g., volume, accuracy, turnaround time). What we offer Flexible work arrangements for better work-life balance Generous Paid Leaves (Annual, Sick, Compassionate, Local Public, Marriage, Maternity, Paternity, Medical leave) Medical benefits ( Insurance and Annual Health Check-up) Pension and Insurance Policies (Group Term Life Insurance, Group Personal Accident Insurance, Travel Insurance) Training and Development Assistance (Training Sponsorship, On-The-Job Training, Training Programme) Additional Benefits (Long Service Awards, Mobile Phone Reimbursement) Company bonus/Profit share. *Benefits may vary based on position, tenure/contract/grade level* DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity. About You Qualifications & Skills: Education: Degree in Marine Engineering, Data Management or related field. Experience Experience in marine engineering data management 5+ years in data entry, records management, or a similar role. 2+ years in a supervisory or team leadership position. Experience with data capture tools (e.g., OCR software, ERP systems, or CRM databases). Technical Skills Proficiency in Excel, database and Planned Maintenance software. Familiarity with data validation techniques and error tracking. Basic understanding of automation tools (e.g., UiPath, Power Automate) is a plus. Soft Skills Strong attention to detail and organizational abilities. Excellent communication and team management skills. Ability to work under tight deadlines with minimal errors.

About Us We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence. As a trusted voice for many of the world’s most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations. About The Role The Data Management Manager is responsible for overseeing the accurate, efficient, and timely collection, entry, and validation of data across the organization. This role ensures that data is captured in compliance with company policies and industry regulations while optimizing processes for speed and accuracy. The ideal candidate will have strong organizational skills, experience in data entry management, and the ability to lead a team of data capturers or engineers. Key Responsibilities Data Collection & Entry Oversight: Manage and supervise a team of data capturers to ensure high-quality, error-free data entry. Develop and enforce standardized data capture procedures and workflows. Ensure timely and accurate digitization of paper records, forms, or digital inputs. Quality Assurance & Validation Implement quality control measures to verify data accuracy and completeness. Conduct regular audits and spot checks to identify and correct discrepancies. Resolve data inconsistencies in collaboration with relevant departments. Process Improvement Identify inefficiencies in data capture processes and recommend automation or optimization solutions. Work with IT teams to integrate new tools (e.g., OCR, RPA, or AI-based data extraction). Train staff on best practices for manual and automated data entry. Compliance & Security Ensure compliance with data privacy laws (e.g., GDPR, POPIA, or industry-specific regulations). Maintain secure handling and storage of sensitive or confidential information. Document data capture policies and ensure adherence across teams. Team Leadership & Reporting Recruit, train, and manage data capture personnel. Monitor team performance and provide feedback for improvement. Generate reports on data capture metrics (e.g., volume, accuracy, turnaround time). What we offer Flexible work arrangements for better work-life balance Generous Paid Leaves (Annual, Sick, Compassionate, Local Public, Marriage, Maternity, Paternity, Medical leave) Medical benefits ( Insurance and Annual Health Check-up) Pension and Insurance Policies (Group Term Life Insurance, Group Personal Accident Insurance, Travel Insurance) Training and Development Assistance (Training Sponsorship, On-The-Job Training, Training Programme) Additional Benefits (Long Service Awards, Mobile Phone Reimbursement) Company bonus/Profit share. *Benefits may vary based on position, tenure/contract/grade level* DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity. About You Qualifications & Skills: Education: Degree in Marine Engineering, Data Management or related field. Experience Experience in marine engineering data management 5+ years in data entry, records management, or a similar role. 2+ years in a supervisory or team leadership position. Experience with data capture tools (e.g., OCR software, ERP systems, or CRM databases). Technical Skills Proficiency in Excel, database and Planned Maintenance software. Familiarity with data validation techniques and error tracking. Basic understanding of automation tools (e.g., UiPath, Power Automate) is a plus. Soft Skills Strong attention to detail and organizational abilities. Excellent communication and team management skills. Ability to work under tight deadlines with minimal errors.

About Us We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence. As a trusted voice for many of the world’s most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations. About The Role The Data Management Manager is responsible for overseeing the accurate, efficient, and timely collection, entry, and validation of data across the organization. This role ensures that data is captured in compliance with company policies and industry regulations while optimizing processes for speed and accuracy. The ideal candidate will have strong organizational skills, experience in data entry management, and the ability to lead a team of data capturers or engineers. Key Responsibilities Data Collection & Entry Oversight: Manage and supervise a team of data capturers to ensure high-quality, error-free data entry. Develop and enforce standardized data capture procedures and workflows. Ensure timely and accurate digitization of paper records, forms, or digital inputs. Quality Assurance & Validation Implement quality control measures to verify data accuracy and completeness. Conduct regular audits and spot checks to identify and correct discrepancies. Resolve data inconsistencies in collaboration with relevant departments. Process Improvement Identify inefficiencies in data capture processes and recommend automation or optimization solutions. Work with IT teams to integrate new tools (e.g., OCR, RPA, or AI-based data extraction). Train staff on best practices for manual and automated data entry. Compliance & Security Ensure compliance with data privacy laws (e.g., GDPR, POPIA, or industry-specific regulations). Maintain secure handling and storage of sensitive or confidential information. Document data capture policies and ensure adherence across teams. Team Leadership & Reporting Recruit, train, and manage data capture personnel. Monitor team performance and provide feedback for improvement. Generate reports on data capture metrics (e.g., volume, accuracy, turnaround time). What we offer Flexible work arrangements for better work-life balance Generous Paid Leaves (Annual, Sick, Compassionate, Local Public, Marriage, Maternity, Paternity, Medical leave) Medical benefits ( Insurance and Annual Health Check-up) Pension and Insurance Policies (Group Term Life Insurance, Group Personal Accident Insurance, Travel Insurance) Training and Development Assistance (Training Sponsorship, On-The-Job Training, Training Programme) Additional Benefits (Long Service Awards, Mobile Phone Reimbursement) Company bonus/Profit share. *Benefits may vary based on position, tenure/contract/grade level* DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity. About You Qualifications & Skills: Education: Degree in Marine Engineering, Data Management or related field. Experience Experience in marine engineering data management 5+ years in data entry, records management, or a similar role. 2+ years in a supervisory or team leadership position. Experience with data capture tools (e.g., OCR software, ERP systems, or CRM databases). Technical Skills Proficiency in Excel, database and Planned Maintenance software. Familiarity with data validation techniques and error tracking. Basic understanding of automation tools (e.g., UiPath, Power Automate) is a plus. Soft Skills Strong attention to detail and organizational abilities. Excellent communication and team management skills. Ability to work under tight deadlines with minimal errors.

Job Title : Senior Machine Learning Developer Location : Pan India Job Type : Full-Time Experience Level : 5- 10 Years Job Description We are seeking a highly skilled and experienced Senior Machine Learning Developer to join our dynamic team. The ideal candidate will have a strong background in machine learning (ML), deep learning (DL), and large language models (LLMs). They should be proficient in Python and possess expertise in conventional ML algorithms, DL techniques, LLM and prompt engineering. Desire Skills RAG-Based Domain-Specific Q&A System : Should have built a chatbot that answers questions from custom documents (e.g., legal contracts, company policies) using LLM + Vector DB (RAG). Agentic AI Workflow Assistant (Multi-Step Planner) : Should have created an LLM agent that performs tasks like Book my flight + hotel + calendar block via API tools using LangGraph or AutoGen. Multimodal RAG for Image + Text Search : Worked on system that allows users to ask questions like Find me the slide where person X talks about success in life in a YouTube video or PDF deck. Document Parsing Using OCR + Transformers : Extract structured data from messy PDFs using Tesseract + LayoutLM or Donut Responsibilities Machine Learning Development : Design, develop, and implement ML models and algorithms to solve complex problems. Work on various ML projects involving data preprocessing, feature engineering, model selection, and evaluation. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Deep Learning Develop and deploy DL models using frameworks like TensorFlow, PyTorch, or Keras. Optimize DL models for performance and scalability. Stay updated with the latest advancements in DL and apply them to improve existing models. Large Language Models Develop and fine-tune large language models for various NLP tasks. Implement prompt engineering techniques to enhance model performance and accuracy. Experiment with state-of-the-art LLM architectures and methodologies. Software Development Write clean, maintainable, and efficient code in Python. Conduct code reviews and ensure adherence to best practices and coding standards. Implement version control using Git and collaborate with the development team through GitHub or similar platforms. Data Handling Work with large datasets and perform data preprocessing, cleaning, and augmentation. Implement data pipelines and ensure data integrity and quality throughout the ML lifecycle. Research And Innovation Stay abreast of the latest research and developments in the field of ML, DL, and LLMs. Propose and explore innovative solutions to improve model performance and address new challenges. Mentorship Mentor and guide junior ML engineers and team members. Share knowledge and best practices within the team to foster a collaborative and learning Environment (ref:hirist.tech)

🚀 WE ARE HIRING !!! (CGPA of 7.0 or above a MUST) 📍 Location: Hyderabad (on-site only). 🎓 Eligibility: Freshers (or) Experienced folks meeting CGPA criteria CAN apply. 💸 Stipend: Up to ₹50,000/month for the right candidates. 📅 Duration: 3 months (Immediate joiners only). 📜 Post-internship: Experience certificate + first preference for full-time openings. Interested candidates are requested to apply directly to the Job posting. We will respond at the earliest. ⸻ Rybas.AI Pvt. Ltd. is an Enterprise AI Company developing Hadrian, a Precision-Engineered Platform for Cost Intelligence across Complex IT Environments. Hadrian integrates Infrastructure Metrics, SaaS Spend, Cloud Utilization, and Procurement Data into a Unified Analytical Framework—enabling Organizations to Monitor, Forecast, and Optimize their Technology Expenditure. The Platform applies Machine Learning for Forecasting, Anomaly Detection, and Model Explainability, while emphasizing System Architecture, Data Integration, and Strategic Decision Support. Built as a Modular, API-Oriented System, Hadrian supports Automated Workflows, Spend Analysis, Document Intelligence, Budget Simulations, and Role-Based Access Control (RBAC) across Finance and Engineering Functions We invite Applications from Technically Strong Individuals capable of Learning Quickly, Thinking Systematically, and Contributing to Structured Product Engineering. This Role is suited for Early-Career Candidates seeking Exposure to Real-World System Design, Data Infrastructure, and Applied AI within an Enterprise Context. ⸻ 🔧 Preferred Technical Exposure Candidates familiar with the following tools, technologies, or protocols will be at an advantage. No single candidate is expected to know all of them. 🧩 Programming & Orchestration: FastAPI, Celery, Windmill-Dev 🗄️ Data & Storage: PostgreSQL (JSONB), DuckDB, DBeav er🧠 Machine Learning & Explainability: Scikit-learn, SHAP, LIME, PyTorch, STs, Tesseract, Layout LM📄 Document Intelligence & NLP: OCR, PDF Parsers, Table Extraction, Chroma DB💻 Frontend Development: Next.js, React.js, TailwindCSS, shadcn/ ui📊 Business Intelligence: Apache Superset, Metaba se🐳 Containerization & Orchestration: Docker, Docker Compose, k 3s🌐 Container Networking: Flannel, Cali co🔁 Workflow & Job Queues: Redis, Cele ry📈 Monitoring & Observability: Prometheus, Grafa na📡 Asset Discovery & Network Protocols: SSH, SNMP, Syslog, ICMP, XML/JSON, CLI Automatio n

Job Title - Platforms Manager Level- Manager- S&C GN-CFO&EV Management Level: 07 – Manager Location: Gurgaon, Mumbai, Bangalore, Pune, Hyderabad Must have skills: SAP FICO Implementation Good to have skills: Generic FICO, PS+Investment mgt, DRC, FSCM, CO, VIM+FI, OCR, Functional MDG, AFC/FCC, SAP ICMR, Intercompany, SAP CFIN Experience: 8 - 12 years Educational Qualification: MBA(Finance) or CA or CMA Job Summary: Have been part of at least 5 end to end SAP implementations. Out of which 2+ in S4 Understand the SAP roadmap for S/4 HANA and become a trusted advisor for clients in driving their S/4 HANA adoption. Have experience in defining a Business Case for S4 Transformation and RoI calculations. Have worked in the capacity of Solution Architect / Design Authority in Past and have done lot of advisory work for ERP’s for e.g. Product selection, Value realization, Fit Gap Assessment etc. Work closely with clients to understand their issues, define IT strategies, architecture solutions, win buy-in for your recommendations. Drive sales pipeline and independently own proposals related to Finance / Multi-function S/4 HANA engagements. Lead and transform the consulting industry by developing some key Assets and Accelerators which can help Clients in their digital transformation journey. Provide direction for complex SAP S/4 HANA issues, and can collaborate with the business and developers and execute on agreed timelines. Provide consulting solutions including how to leverage standard SAP S/4 HANA functionality and how to enable requirements while maximizing the ROI Lead intelligent conversations to guide clients through best-practice project scoping and delivery to ensure overall project success in implementing SAP S/4 HANA Have ability to manage project execution and manage client conversations during assessment, design, implementation, and status reporting Lead the problem solution design and implementation ensuring high quality adhering to the timelines and defined budget Supervision of Accenture Managers, Senior and Junior analysts and consultants and client personnel to drive delivery outcomes. Roles & Responsibilities: Should know how to lead and deliver S/4 HANA engagements across different implementation approaches including excellent understanding of client business processes, pain points, S/4 HANA solution options and organization structure Should know how to drive and build sales pipeline including BDs and Proposals Should be aware of digital finance technologies that drives business processes Should know how to lead business case creation for SAP design to implementation projects Drive continuous improvement capability with regards to methodology, tools, practices and maturity Professional & Technical Skills: MBA from a Tier-1 or Tier-2 B-school. CA or CPA Deep knowledge and experience in Finance and Controlling Org structure and design, S/4 HANA Implementation and rollout point of views, approach and design principles, roadmap, and business case definition. Ability to drive large scale digital finance transformation initiatives during the entire life cycle of the project. 10+ years’ experience in SAP S/4 HANA design to implementation projects At least 8+ years of consulting experience in a big4 or similar firms Extensive experience in GTM/Presales and writing proposals. Programme management experience and track record of successful (on-time & on-budget) delivery of large, complex programs in a dynamic environment with numerous and complex stakeholders’ groups Active role in the identification of opportunities by farming existing relationships and growing new networks. Ability to work independently with minimal supervision and lead global distributed teams Additional Information: An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything—from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Our Company | Accenture Experience: 8 - 12 years Educational Qualification: MBA(Finance) or CA or CMA

Job Title - Platforms Manager Level- Manager- S&C GN-CFO&EV Management Level: 07 – Manager Location: Gurgaon, Mumbai, Bangalore, Pune, Hyderabad Must have skills: SAP FICO Implementation Good to have skills: Generic FICO, PS+Investment mgt, DRC, FSCM, CO, VIM+FI, OCR, Functional MDG, AFC/FCC, SAP ICMR, Intercompany, SAP CFIN Experience: 8 - 12 years Educational Qualification: MBA(Finance) or CA or CMA Job Summary: Have been part of at least 5 end to end SAP implementations. Out of which 2+ in S4 Understand the SAP roadmap for S/4 HANA and become a trusted advisor for clients in driving their S/4 HANA adoption. Have experience in defining a Business Case for S4 Transformation and RoI calculations. Have worked in the capacity of Solution Architect / Design Authority in Past and have done lot of advisory work for ERP’s for e.g. Product selection, Value realization, Fit Gap Assessment etc. Work closely with clients to understand their issues, define IT strategies, architecture solutions, win buy-in for your recommendations. Drive sales pipeline and independently own proposals related to Finance / Multi-function S/4 HANA engagements. Lead and transform the consulting industry by developing some key Assets and Accelerators which can help Clients in their digital transformation journey. Provide direction for complex SAP S/4 HANA issues, and can collaborate with the business and developers and execute on agreed timelines. Provide consulting solutions including how to leverage standard SAP S/4 HANA functionality and how to enable requirements while maximizing the ROI Lead intelligent conversations to guide clients through best-practice project scoping and delivery to ensure overall project success in implementing SAP S/4 HANA Have ability to manage project execution and manage client conversations during assessment, design, implementation, and status reporting Lead the problem solution design and implementation ensuring high quality adhering to the timelines and defined budget Supervision of Accenture Managers, Senior and Junior analysts and consultants and client personnel to drive delivery outcomes. Roles & Responsibilities: Should know how to lead and deliver S/4 HANA engagements across different implementation approaches including excellent understanding of client business processes, pain points, S/4 HANA solution options and organization structure Should know how to drive and build sales pipeline including BDs and Proposals Should be aware of digital finance technologies that drives business processes Should know how to lead business case creation for SAP design to implementation projects Drive continuous improvement capability with regards to methodology, tools, practices and maturity Professional & Technical Skills: MBA from a Tier-1 or Tier-2 B-school. CA or CPA Deep knowledge and experience in Finance and Controlling Org structure and design, S/4 HANA Implementation and rollout point of views, approach and design principles, roadmap, and business case definition. Ability to drive large scale digital finance transformation initiatives during the entire life cycle of the project. 10+ years’ experience in SAP S/4 HANA design to implementation projects At least 8+ years of consulting experience in a big4 or similar firms Extensive experience in GTM/Presales and writing proposals. Programme management experience and track record of successful (on-time & on-budget) delivery of large, complex programs in a dynamic environment with numerous and complex stakeholders’ groups Active role in the identification of opportunities by farming existing relationships and growing new networks. Ability to work independently with minimal supervision and lead global distributed teams Additional Information: An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything—from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization.

Job Title - Platforms Manager Level- Manager- S&C GN-CFO&EV Management Level: 07 – Manager Location: Gurgaon, Mumbai, Bangalore, Pune, Hyderabad Must have skills: SAP FICO Implementation Good to have skills: Generic FICO, PS+Investment mgt, DRC, FSCM, CO, VIM+FI, OCR, Functional MDG, AFC/FCC, SAP ICMR, Intercompany, SAP CFIN Job Summary: Have been part of at least 5 end to end SAP implementations. Out of which 2+ in S4 Understand the SAP roadmap for S/4 HANA and become a trusted advisor for clients in driving their S/4 HANA adoption. Have experience in defining a Business Case for S4 Transformation and RoI calculations. Have worked in the capacity of Solution Architect / Design Authority in Past and have done lot of advisory work for ERP’s for e.g. Product selection, Value realization, Fit Gap Assessment etc. Work closely with clients to understand their issues, define IT strategies, architecture solutions, win buy-in for your recommendations. Drive sales pipeline and independently own proposals related to Finance / Multi-function S/4 HANA engagements. Lead and transform the consulting industry by developing some key Assets and Accelerators which can help Clients in their digital transformation journey. Provide direction for complex SAP S/4 HANA issues, and can collaborate with the business and developers and execute on agreed timelines. Provide consulting solutions including how to leverage standard SAP S/4 HANA functionality and how to enable requirements while maximizing the ROI Lead intelligent conversations to guide clients through best-practice project scoping and delivery to ensure overall project success in implementing SAP S/4 HANA Have ability to manage project execution and manage client conversations during assessment, design, implementation, and status reporting Lead the problem solution design and implementation ensuring high quality adhering to the timelines and defined budget Supervision of Accenture Managers, Senior and Junior analysts and consultants and client personnel to drive delivery outcomes. Roles & Responsibilities: Should know how to lead and deliver S/4 HANA engagements across different implementation approaches including excellent understanding of client business processes, pain points, S/4 HANA solution options and organization structure Should know how to drive and build sales pipeline including BDs and Proposals Should be aware of digital finance technologies that drives business processes Should know how to lead business case creation for SAP design to implementation projects Drive continuous improvement capability with regards to methodology, tools, practices and maturity Professional & Technical Skills: MBA from a Tier-1 or Tier-2 B-school. CA or CPA Deep knowledge and experience in Finance and Controlling Org structure and design, S/4 HANA Implementation and rollout point of views, approach and design principles, roadmap, and business case definition. Ability to drive large scale digital finance transformation initiatives during the entire life cycle of the project. 10+ years’ experience in SAP S/4 HANA design to implementation projects At least 8+ years of consulting experience in a big4 or similar firms Extensive experience in GTM/Presales and writing proposals. Programme management experience and track record of successful (on-time & on-budget) delivery of large, complex programs in a dynamic environment with numerous and complex stakeholders’ groups Active role in the identification of opportunities by farming existing relationships and growing new networks. Ability to work independently with minimal supervision and lead global distributed teams Additional Information: An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything—from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Our Company | Accenture Experience: 8 - 12 years Educational Qualification: MBA(Finance) or CA or CMA

Role As a Data Scientist, you will contribute to developing and deploying innovative AI and machine learning solutions that transform insurance operations through intelligent automation. You'll work on sophisticated models for Fraud, Waste & Abuse (FWA) detection, Intelligent Document Processing (IDP), and Agentic AI systems that power autonomous insurance workflows including underwriting, claims processing, and policy servicing. This role offers excellent opportunities for growth and learning - you'll contribute to core product development, support customer implementations, and assist with proof-of-concept development under the guidance of senior team members. Working with our advanced tech stack including LLM fine-tuning, computer vision, and multi-agent systems, you'll solve complex problems that directly impact how insurance companies operate and serve their customers. As we scale from successful startup to enterprise-level positioning, you'll develop your expertise in production machine learning, learn best practices from experienced practitioners, and contribute meaningfully to AI solutions that maintain the highest standards of accuracy, reliability, and business impact. If you're passionate about applying data science to real-world insurance challenges and want to grow your career while seeing your models transform business processes, this role offers excellent opportunities for professional development. Model Development & Implementation Develop and implement machine learning models for fraud detection, risk assessment, and anomaly detection using established algorithms and frameworks under senior guidance Build computer vision and NLP models for intelligent document processing, including document classification, OCR optimization, and automated information extraction Implement and fine-tune Large Language Models (LLMs) for insurance-specific applications, applying techniques such as LoRA, QLoRA, and PEFT to create domain-specialized solutions Develop predictive models for underwriting, claims processing, and medical risk assessment that support enhanced decision-making and operational efficiency Perform feature engineering and exploratory data analysis to identify patterns and insights that inform model development and business understanding AI Agent Development & Support Contribute to the development of autonomous AI agents for handling insurance workflows with appropriate supervision and guidance Implement agent components and workflows that support multi-agent coordination and decision-making processes Build conversational AI capabilities that can interact with users and systems to gather information and provide recommendations Support the development of intelligent decision-making systems that adapt to varying business requirements and regulatory constraints Assist with the implementation of agent monitoring, evaluation, and improvement processes Data Processing & Analysis Build and maintain data pipelines for model training, validation, and inference using modern data engineering tools and practices Implement data quality checks and validation processes that ensure model inputs meet accuracy and consistency requirements Perform comprehensive data analysis to understand data characteristics, identify quality issues, and inform model development decisions Create data visualizations and analytical reports that communicate insights to technical and business stakeholders Work with diverse data sources including structured insurance data, unstructured documents, and external data feeds Model Deployment & Monitoring Support Support model deployment processes from development through production, working with MLOps teams to ensure smooth transitions Implement model monitoring and performance tracking capabilities that detect issues and support continuous improvement Contribute to A/B testing and model evaluation frameworks that enable data-driven decisions about model performance Develop model documentation and explainability features that support business understanding and regulatory compliance Participate in model maintenance and improvement activities based on production performance and business feedback Collaboration & Learning Work closely with senior data scientists, solution architects, and software engineers to deliver high-quality technical solutions Support customer-facing activities by adapting models for specific client needs and contributing to implementation success Contribute to proof-of-concept development and technical demonstrations that Showcase Our Capabilities To Prospective Customers Participate in code reviews, technical discussions, and knowledge sharing activities that support team learning and best practices Stay current with emerging trends and techniques in AI/ML, particularly in areas relevant to insurance and autonomous agents Qualifications & Experience Academic Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related quantitative field from a recognized institution Coursework or training in machine learning, statistics, or data analysis preferred Professional Experience 3+ years of hands-on experience in data science, machine learning, or related analytical roles with demonstrated ability to develop and deploy ML models Experience with machine learning project lifecycle from data exploration through model deployment Background in applying statistical methods and machine learning algorithms to solve business problems Exposure to production ML systems, model deployment, or MLOps practices Preferred Insurance industry exposure preferred, with understanding of claims processing, underwriting, medical risk assessment, or fraud detection workflows Technical Skills Strong proficiency in Python with experience using Scikit-Learn, Pandas, NumPy, and Jupyter for data science workflows Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar libraries for model development Basic to intermediate knowledge of LLM fine-tuning, natural language processing, or computer vision techniques. Understanding of embeddings, TF-IDF, and linguistic modelling. Familiarity with OCR technologies, document processing, or computer vision libraries such as OpenCV Experience with GenAI frameworks including LangChain, Hugging Face Transformers, or vector databases Knowledge of data manipulation and analysis using SQL, big data tools, or distributed computing frameworks Understanding of MLOps concepts, version control systems, and basic cloud platform usage Communication & Collaboration Skills Strong analytical and problem-solving skills with ability to approach complex business problems systematically Good communication abilities for presenting technical findings to team members and stakeholders Collaborative mindset with willingness to learn from senior team members and contribute to team success Attention to detail and commitment to producing high-quality, reliable analytical work Enthusiasm for learning new technologies and staying current with developments in AI/ML and insurance technology How We Get Things Done At our core, we believe in building intelligent systems that transform how insurance works. We're a team of innovators who combine deep technical expertise with real-world business impact. Our guiding principles center around technical excellence, data-driven decision making, and the responsible development of AI systems that enhance human capabilities. We foster a culture of continuous learning, experimentation, and cross-functional collaboration. As we scale from startup to enterprise, we maintain our commitment to cutting-edge research while building solutions that can handle the most demanding insurance workflows globally. Championing Inclusion & Innovation We embrace the opportunity to build a team that reflects diverse perspectives and experiences. Being an equal opportunity employer means we consider qualified candidates based on merit, technical capabilities, and cultural fit, regardless of background, identity, or personal characteristics. We're committed to creating an inclusive environment where innovative thinking thrives and where every team member can contribute to our mission of transforming insurance through intelligent automation. Skills: ml,processing,python,sql,pandas,pytorch,insurance,numpy,ocr technologies,data,machine learning,data science,learning,genai frameworks,scikit-learn,tensorflow,computer vision,data analysis,natural language processing,mlops,jupyter

Role As a Data Scientist, you will contribute to developing and deploying innovative AI and machine learning solutions that transform insurance operations through intelligent automation. You'll work on sophisticated models for Fraud, Waste & Abuse (FWA) detection, Intelligent Document Processing (IDP), and Agentic AI systems that power autonomous insurance workflows including underwriting, claims processing, and policy servicing. This role offers excellent opportunities for growth and learning - you'll contribute to core product development, support customer implementations, and assist with proof-of-concept development under the guidance of senior team members. Working with our advanced tech stack including LLM fine-tuning, computer vision, and multi-agent systems, you'll solve complex problems that directly impact how insurance companies operate and serve their customers. As we scale from successful startup to enterprise-level positioning, you'll develop your expertise in production machine learning, learn best practices from experienced practitioners, and contribute meaningfully to AI solutions that maintain the highest standards of accuracy, reliability, and business impact. If you're passionate about applying data science to real-world insurance challenges and want to grow your career while seeing your models transform business processes, this role offers excellent opportunities for professional development. Model Development & Implementation Develop and implement machine learning models for fraud detection, risk assessment, and anomaly detection using established algorithms and frameworks under senior guidance Build computer vision and NLP models for intelligent document processing, including document classification, OCR optimization, and automated information extraction Implement and fine-tune Large Language Models (LLMs) for insurance-specific applications, applying techniques such as LoRA, QLoRA, and PEFT to create domain-specialized solutions Develop predictive models for underwriting, claims processing, and medical risk assessment that support enhanced decision-making and operational efficiency Perform feature engineering and exploratory data analysis to identify patterns and insights that inform model development and business understanding AI Agent Development & Support Contribute to the development of autonomous AI agents for handling insurance workflows with appropriate supervision and guidance Implement agent components and workflows that support multi-agent coordination and decision-making processes Build conversational AI capabilities that can interact with users and systems to gather information and provide recommendations Support the development of intelligent decision-making systems that adapt to varying business requirements and regulatory constraints Assist with the implementation of agent monitoring, evaluation, and improvement processes Data Processing & Analysis Build and maintain data pipelines for model training, validation, and inference using modern data engineering tools and practices Implement data quality checks and validation processes that ensure model inputs meet accuracy and consistency requirements Perform comprehensive data analysis to understand data characteristics, identify quality issues, and inform model development decisions Create data visualizations and analytical reports that communicate insights to technical and business stakeholders Work with diverse data sources including structured insurance data, unstructured documents, and external data feeds Model Deployment & Monitoring Support Support model deployment processes from development through production, working with MLOps teams to ensure smooth transitions Implement model monitoring and performance tracking capabilities that detect issues and support continuous improvement Contribute to A/B testing and model evaluation frameworks that enable data-driven decisions about model performance Develop model documentation and explainability features that support business understanding and regulatory compliance Participate in model maintenance and improvement activities based on production performance and business feedback Collaboration & Learning Work closely with senior data scientists, solution architects, and software engineers to deliver high-quality technical solutions Support customer-facing activities by adapting models for specific client needs and contributing to implementation success Contribute to proof-of-concept development and technical demonstrations that Showcase Our Capabilities To Prospective Customers Participate in code reviews, technical discussions, and knowledge sharing activities that support team learning and best practices Stay current with emerging trends and techniques in AI/ML, particularly in areas relevant to insurance and autonomous agents Qualifications & Experience Academic Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related quantitative field from a recognized institution Coursework or training in machine learning, statistics, or data analysis preferred Professional Experience 3+ years of hands-on experience in data science, machine learning, or related analytical roles with demonstrated ability to develop and deploy ML models Experience with machine learning project lifecycle from data exploration through model deployment Background in applying statistical methods and machine learning algorithms to solve business problems Exposure to production ML systems, model deployment, or MLOps practices Preferred Insurance industry exposure preferred, with understanding of claims processing, underwriting, medical risk assessment, or fraud detection workflows Technical Skills Strong proficiency in Python with experience using Scikit-Learn, Pandas, NumPy, and Jupyter for data science workflows Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar libraries for model development Basic to intermediate knowledge of LLM fine-tuning, natural language processing, or computer vision techniques. Understanding of embeddings, TF-IDF, and linguistic modelling. Familiarity with OCR technologies, document processing, or computer vision libraries such as OpenCV Experience with GenAI frameworks including LangChain, Hugging Face Transformers, or vector databases Knowledge of data manipulation and analysis using SQL, big data tools, or distributed computing frameworks Understanding of MLOps concepts, version control systems, and basic cloud platform usage Communication & Collaboration Skills Strong analytical and problem-solving skills with ability to approach complex business problems systematically Good communication abilities for presenting technical findings to team members and stakeholders Collaborative mindset with willingness to learn from senior team members and contribute to team success Attention to detail and commitment to producing high-quality, reliable analytical work Enthusiasm for learning new technologies and staying current with developments in AI/ML and insurance technology How We Get Things Done At our core, we believe in building intelligent systems that transform how insurance works. We're a team of innovators who combine deep technical expertise with real-world business impact. Our guiding principles center around technical excellence, data-driven decision making, and the responsible development of AI systems that enhance human capabilities. We foster a culture of continuous learning, experimentation, and cross-functional collaboration. As we scale from startup to enterprise, we maintain our commitment to cutting-edge research while building solutions that can handle the most demanding insurance workflows globally. Championing Inclusion & Innovation We embrace the opportunity to build a team that reflects diverse perspectives and experiences. Being an equal opportunity employer means we consider qualified candidates based on merit, technical capabilities, and cultural fit, regardless of background, identity, or personal characteristics. We're committed to creating an inclusive environment where innovative thinking thrives and where every team member can contribute to our mission of transforming insurance through intelligent automation. Skills: ml,processing,python,sql,pandas,pytorch,insurance,numpy,ocr technologies,data,machine learning,data science,learning,genai frameworks,scikit-learn,tensorflow,computer vision,data analysis,natural language processing,mlops,jupyter

Role & responsibilities Analyze business processes, identify automation opportunities, and assess feasibility. Design and develop RPA workflows using tools like UiPath / Automation Anywhere / Blue Prism . Lead end-to-end automation delivery including development, testing, deployment, and support. Create reusable components, libraries, and frameworks to accelerate automation development. Integrate RPA with various enterprise applications (SAP, CRM, APIs, databases, etc.). Collaborate with Business Analysts, Process Owners, and QA teams for requirement gathering and UAT. Provide technical mentorship and code reviews for junior developers. Ensure adherence to best practices in RPA development, security, exception handling, and documentation. Troubleshoot production issues and support bot maintenance activities. Contribute to RPA governance, standards, and process improvements. Note: Candidate must be from BFSI Domain. Interested candidates share resume on bhawana.sharma@rsystems.com or can call at 8595575733. Regards, Bhawana

Experience in Programming (Python, R, SQL, NoSQL, Spark) with ML tools & Cloud Technology (AWS, Azure, GCP) Experience in Python libraries such as NumPy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc. Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making. Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.) Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. Contribute to internal product development initiatives related to data science. Develop data science roadmap, and guide data scientist to meet their deliverables. Handling end-to-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction. Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Drive excellent project management required to deliver complex projects, including effort/time estimation. Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholders Manage the team-members, to ensure that the project plan is being adhered to over the course of the project Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates. Build a trusted advisor relationship with the IT management at clients and internal accounts leadership. Build business case for technological investments to be made for future needs and to remain competitive Ensure that billing and utilization of team members is maximized throughout the year

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile Strong proficiency in Python and frameworks like TensorFlow or PyTorch. 2+ years of experience in GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Company Description SoftSensor.ai LLC is a data-&-AI innovation studio twice recognized in the DataIQ 100 for Most Innovative Solutions and Best Team to Work With (Vendor Side) . Alongside bespoke AI consulting, we operate PRR.AI —our flagship Medical AI platform that combines multimodal AI models with a human-in-the-loop workflow for high-volume medical and life-science data. PRR.AI powers: Digital Pathology & Radiology – whole-slide or DICOM image ingestion, smart region-of-interest detection, stain normalization, and AI-assisted tumor grading. Clinical Document Validation – OCR + LLM pipelines for batch-manufacturing records (BMRs), clinical notes, and regulatory dossiers. Multimodal Research Datasets – embryo-quality prediction, IVF outcome modeling, and vision-language damage detection for medical devices & vehicles. SoftSensor + PRR.AI give clinicians, data scientists, and regulators a shared workspace where AI predictions are auditable, explainable, and continuously improved. Our culture blends clinical depth , data-science rigor , and product craftsmanship with flexible remote work hubs in Bengaluru, Hyderabad, and Gurgaon. Role Overview You will be a clinical domain expert inside our AI product pipeline, splitting time between AI consulting projects and PRR.AI platform operations. Key Responsibilities Clinical Data Curation Use the PRR.AI interface to label or validate entities across slides, radiographs, lab reports, and BMR pages. Define new ontologies and QA rules that drive PRR.AI’s auto-validation engine. Model Evaluation & Feedback Loops Run test sets through vision-language models (e.g., LLaMA Vision, GPT-4o) and document false-positives/negatives inside PRR.AI’s error-tracking boards. Recommend prompt tweaks and fine-tuning strategies to ML engineers. Knowledge Engineering & Prompt Design Translate clinical SOPs and regulatory guidelines into structured prompts or rule-based checks used by PRR.AI’s “Guardrails” module to flag contraindications or process deviations. Stakeholder Collaboration Act as clinical liaison for pharma clients adopting PRR.AI in GxP settings; conduct onboarding webinars and draft medical validation reports. Partner with product & UX teams to refine the PRR.AI reviewer workflow (hot-keys, bulk actions, keyboard navigation) and minimize cognitive load. Regulatory & Quality Assurance Maintain audit-ready documentation (dataset lineage, annotation protocols, validation metrics) to support ISO 13485 / GAMP 5 / CDSCO-NDCT & FDA 21 CFR Part 11 compliance. Minimum Qualifications MBBS from an NMC-recognized institution. MBBS + MBA is a bonus point 0–3 years internship, clinical practice, or health-informatics experience. Strong grasp of medical terminology, ICD-10/11, drug classes, basic biostatistics. Clear English communication and ability to explain clinical nuances to non-medical peers. Awareness of HIPAA, GDPR, DPDP India, and data-integrity principles (ALCOA+). What We Offer Competitive pay (fixed salary for FTE; hourly rates for part-time) + Variable Comp Group medical insurance Sponsored upskilling—Coursera “AI in Healthcare”, Azure Health Data Services, etc. Direct impact on products used by pathologists, IVF specialists, and pharma QA teams worldwide. How to Apply Email your CV (PDF) and a short note answering: A clinical workflow you believe AI + human review (like PRR.AI) could transform. A dataset or paper that excites you and why. Send to hr@softsensor.ai with the subject: “Medical AI Analyst – [Full-time/Part-time] – Your Name” Rolling interviews begin 15 July 2025 . Positions remain open until filled.

We're Hiring: Legal & Compliance Specialist 📍 Location: Gurgaon | On-site | Full-time About Invincible Ocean At Invincible Ocean , we’re reshaping onboarding and verification through innovation. With 250+ verification APIs and a 100% no-code solution, we enable seamless integration in under 10 minutes—complete with your domain, workflows, and branding. Our Global OCR API supports IDs from 150+ countries with built-in fraud detection, making compliance effortless across industries. About the Role We’re looking for a Legal & Compliance Specialist to take end-to-end ownership of all legal, regulatory, and compliance functions. This includes managing company formation processes (domestic & international), taxation, contract drafting, statutory filings, and ensuring adherence to evolving data privacy and industry regulations. Preferred - prior experience in law firms or legal advisory firms. Key Responsibilities Company formation across different jurisdictions End-to-end taxation compliance and regulatory reporting Drafting and reviewing contracts, NDAs, MoUs, and other legal documents Managing statutory filings and legal documentation Coordinating with external legal advisors or government authorities where required Ensuring organizational compliance with all applicable local and international laws Maintaining legal records and ensuring timely renewals/filings What We Are Looking For 1–3 years of relevant experience , preferably in law firms or legal advisory firms Bachelor’s degree in Law (LLB) is mandatory A Master’s degree (LLM) or certification in corporate law/compliance is a plus Strong understanding of corporate and commercial laws Excellent legal drafting and documentation skills Comfortable working in a fast-paced, high-growth environment Proactive, detail-oriented, and capable of managing responsibilities end-to-end Strong communication and stakeholder management skills

Area(s) of responsibility Key Responsibilities Application Development: Build GenAI applications from scratch using frameworks like Autogen (applied or acquired), Crew.ai, LangGraph, LlamaIndex, and LangChain. Python Programming: Develop high-quality, efficient, and maintainable Python code for GenAI solutions. Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models. Fine-tune SLM(Small Language Model) for domain specific data and use cases. Front-End Integration: Implement user interfaces using front-end technologies like React, Streamlit, and AG Grid, ensuring seamless integration with GenAI backends. Data Modernization and Transformation: Design and implement data modernization and transformation pipelines to support GenAI applications. OCR and Document Intelligence: Develop solutions for Optical Character Recognition (OCR) and document intelligence using cloud-based tools.

Area(s) of responsibility Key Responsibilities Application Development: Build GenAI applications from scratch using frameworks like Autogen (applied or acquired), Crew.ai, LangGraph, LlamaIndex, and LangChain. Python Programming: Develop high-quality, efficient, and maintainable Python code for GenAI solutions. Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models. Fine-tune SLM(Small Language Model) for domain specific data and use cases. Front-End Integration: Implement user interfaces using front-end technologies like React, Streamlit, and AG Grid, ensuring seamless integration with GenAI backends. Data Modernization and Transformation: Design and implement data modernization and transformation pipelines to support GenAI applications. OCR and Document Intelligence: Develop solutions for Optical Character Recognition (OCR) and document intelligence using cloud-based tools.

Mandatory Skills - Gen-AI, Data Science, Python, RAG and Cloud (AWS/Azure) Secondary - Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment. Job Description More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like – BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like – AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen.

About the Role: Grade Level (for internal use): 11 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. What’s in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment tools: Docker, Airflow, Kubernetes, Redis, Flask/Django/FastAPI, PySpark, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor’s) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 317383 Posted On: 2025-07-01 Location: Gurgaon, Haryana, India

About this role: Wells Fargo is seeking an Associate Operations Processor. In this role, you will: Perform general clerical operations tasks that are routine in nature Receive, log, batch, and distribute work File, photocopy, and answer phones Prepare and distribute incoming and outgoing mail Regularly receive direction from supervisor and escalate questions and issues to more experienced roles Work under close supervision following established procedures Required Qualifications: 6+ months of operations support experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Candidate must be trained in high-speed typing / number keying (10Key) Able to multi-task to accomplish tasks effectively. Attention to detail Ability to work quickly & accurately while maintaining acceptable standards of workmanship Quick learner with the ability to retain high volume of information Ability to recognize and escalate any discrepancies identified or noticed while processing. Review existing process in detail to identify inherent risks and work with manager/key stakeholders to incorporate controls (both manual and systematic) to enhance overall effectiveness of process. Job Expectations: Any Graduate Experience in data entry / typing / data processing jobs. The Virtual Keying process entails manual capturing of Checks which fail the OCR capture. The process includes capturing Amount and MICR line visible on the check image in the system to enable timely credit to Client Accounts. Work shift - 8:30 pm to 5:30 am (Night Shift) and 4:30 am to 1:30 pm (Early Morning Shift) Shifts will be rotational and may include Sunday Working Process would be operational on Indian Holidays and is aligned to US holidays Posting End Date: 7 Jul 2025 *Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

About the Role: Grade Level (for internal use): 11 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. What’s in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment tools: Docker, Airflow, Kubernetes, Redis, Flask/Django/FastAPI, PySpark, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor’s) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 317383 Posted On: 2025-07-01 Location: Gurgaon, Haryana, India

About the Role: Grade Level (for internal use): 11 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. What’s in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment tools: Docker, Airflow, Kubernetes, Redis, Flask/Django/FastAPI, PySpark, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor’s) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 317383 Posted On: 2025-07-01 Location: Gurgaon, Haryana, India

Job Responsibilities: Design, develop and implement solutions for a wide range of NLP use cases involving classification, extraction and search on unstructured text data Create and maintain state of the art scalable NLP solutions in Python/ Java/ Scala for multiple business problems. This involves: Choosing most appropriate NLP technique(s) based on business needs and available data Performing data exploration and innovative feature engineering Training and tuning a variety of NLP models / solutions which include regular expressions, traditional NLP models as well as SOTA transformer based models Augmenting models by integrating domain specific ontologies and/or external databases Reporting and Monitoring the solution outcome Work experience with document-oriented databases such as MongoDB Collaborate with ML engineering team to deploy NLP solutions in production - both on premise as well as cloud deployment Interact with clients and internal business teams to perform solution feasibility as well as design and develop solutions Open to working across different domains – Insurance, Healthcare and Financial Services etc. Required Skills: Experience (including graduate school) on training machine learning models, applying and developing text mining and NLP techniques Exposure to OCR and computer vision Experience in extracting content from documents is preferred Experience (including graduate school) with Natural Language Processing techniques is required Hands on experience with Natural Language Processing tools such as Stanford CORE-NLP, NLTK, spaCy, Gensim, Textblob etc. Experience/ Familiarity with document clustering in supervised un un-supervised scenarios Expertise in at least two of the state of the art techniques in NLP like BERT, GPT, XL Net etc. Applied experience of machine learning algorithms using Python Organized, self-motivated, disciplined and detail oriented Production level coding experience in Python is required Ability to read recent ML research papers and adapt those models to solve real-world problems Experience with any deep learning framework, including Tensorflow, Caffe, MxNet, Torch, Theano Experience with optimization on GPUs (a plus) Hands on experience with using cloud technologies on AWS/ Microsoft Azure is preferred