Data Processing Jobs in Mumbai

Job Title: Accounts Payable Senior Executive Location: Mumbai Experience: 2 5 Years Education: B.Com / M.Com / Semi-qualified CA / CA IPCC Cleared Position Overview: We are looking for a detail-oriented and proactive Accounts Payable Senior Executive to join our Finance team in Mumbai. This role involves the end-to-end management of vendor payments, invoice processing, TDS/GST compliance, and period-end financial activities. The ideal candidate will have strong accounting knowledge, hands-on experience with ERP systems, and the ability to maintain efficient vendor relationships while supporting audits and financial reporting. Key Responsibilities: Invoice Processing & Booking Review vendor invoices against contracts/agreements and ensure proper approvals Accurately book invoices with correct GL codes and cost center tagging Deduct TDS as per applicable tax provisions and ensure proper documentation Vendor Payments Schedule and process vendor payments in a timely and accurate manner Conduct due diligence before processing payments (agreements, tax, compliance checks) Maintain payment records and coordinate for necessary internal approvals Vendor Reconciliation & Management Perform regular vendor reconciliations and resolve any mismatches or discrepancies Manage vendor master data, including validation of KYC documents and bank details Liaise with vendors to ensure timely submission of invoices and balance confirmations Expense Monitoring & Analysis Monitor and analyze expenses on a monthly/quarterly basis Identify trends, variances, or unusual cost spikes and flag for further investigation Track outstanding payables to ensure timely closures Month-End & Year-End Activities Book expense provisions and accruals during closing periods Handle amortization of prepaid expenses and related accounting entries Assist in preparing audit-ready reports and reconciliations Reporting & MIS Generate and circulate expense MIS, vendor ageing, and payables reports Coordinate with internal teams for budgeting and clarification on expense entries Compliance & Audit Support Ensure strict compliance with TDS and GST regulations Assist in TDS return filing and timely issuance of Form 16A to vendors Support internal and statutory audits with required documentation and schedules Qualifications & Skills: CA IPCC (one or both groups) cleared preferred B.Com / M.Com / Semi-qualified CA with relevant experience 2 5 years of hands-on experience in Accounts Payable or general accounting Strong understanding of accounting principles, TDS, and GST compliance Proficiency in MS Excel and ERP systems (Tally, SAP, Oracle, etc.) Strong analytical, communication, and vendor management skills Ability to meet tight deadlines with a proactive and solution-oriented mindset Qualification : B.Com / M.Com / Semi-qualified CA / CA IPCC Cleared

Data Scientist Location: Mumbai Experience: 2 7 years Employment Type: Full-Time About the Role We are looking for a highly skilled and motivated Data Scientist to join our team in Mumbai. The ideal candidate will have a strong background in data science, machine learning, and big data technologies, with the ability to draw actionable insights from complex data sets. If you're passionate about solving real-world problems using data and AI, and thrive in a fast-paced, collaborative environment we want to hear from you. Key Responsibilities Design and implement processes to collect and aggregate data from multiple sources. Clean, normalize, and prepare large datasets for analysis. Apply statistical methods and machine learning techniques to uncover insights and drive business decisions. Build scalable data pipelines and frameworks to manage large volumes of data. Work cross-functionally to develop innovative products, reports, and features aligned with business needs. Translate analytical findings into clear, actionable recommendations. Desired Candidate Profile 2 7 years of relevant experience in data science or related fields. Proficiency in Python, R, and SQL. Strong grasp of machine learning, AI, and natural language processing (NLP). Experience with big data technologies and handling large datasets. Excellent knowledge of algorithms, mathematics, and statistics. Ability to thrive in a dynamic, challenging environment. Strong problem-solving and communication skills. High attention to detail and analytical rigor. Opportunity to work on cutting-edge data-driven solutions. Collaborative and innovative work culture. Chance to shape impactful products and features in real-world applications. Career growth and learning in advanced data technologies and AI.

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Experience: 9-10 years Key Responsibilities AI & Machine Learning: Design, develop, and deploy machine learning models for predictive analytics, natural language processing (NLP), computer vision, and recommendation systems. Lead end-to-end AI project lifecycles, including model validation, production deployment, and ongoing optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay abreast of the latest advancements in Generative AI and foundational models, evaluating their applicability and integration within business solutions. Collaborate with cross-functional teams to identify AI use cases and deliver tangible business impact. Data Science & Analytics: Drive the entire analytics lifecycle, from data exploration and modeling to delivering actionable insights and developing data-driven products. Partner with data engineers and analysts to develop scalable, impactful solutions that support business objectives. Leadership & Strategy: Mentor and develop junior data science professionals, fostering a culture of continuous learning and innovation. Contribute to the organization s AI and cloud strategy by helping define the roadmap and setting long-term vision. Cloud Architecture & Engineering: Architect and design scalable, cloud-native AI and data platforms primarily on Google Cloud Platform (GCP), with knowledge of AWS and Azure as alternatives. Optimize data pipelines and machine learning workflows using cloud services such as Vertex AI, SageMaker, or Azure ML. Ensure the design and implementation of secure, cost-effective, and scalable architectures supported by robust CI/CD pipelines.

Position: Executive Accounts Payable Department: Finance & Accounts Division: Corporate Location: Mumbai Experience: 2 3 years Qualification: B.Com / M.Com Job Purpose To manage daily accounts payable operations, ensure accurate invoice processing, tax compliance, and assist in maintaining financial records and reconciliations. The role supports smooth financial operations and adherence to internal controls and statutory regulations. Key Responsibilities Process all vendor invoices and payments on a daily basis, ensuring accuracy and completeness. Ensure compliance with statutory requirements such as Service Tax, TDS, and other applicable tax norms. Review purchase and accounts payable transactions for accuracy and appropriateness. Manage day-to-day petty cash transactions, including reconciliation and documentation. Support direct tax return filings and assist with other statutory submissions. Assist senior team members in preparing balance sheets and financial statements. Enter and verify financial data, including input of correct codes into the accounting system. Maintain up-to-date and accurate records of all payments, invoices, requisitions, and related correspondence. Prepare and reconcile bank statements on a regular basis. Maintain and process payroll records for staff and seafarers, including salary master updates. Verify and process site allowances based on Daily Progress Reports (DPRs). Handle data entry, record keeping, and systematic filing of all accounting vouchers. Maintain records and handle transactions related to COMACOE Dubai and Mauritius accounts. Ensure adherence to ISO systems and compliance procedures across all activities. Preferred Candidate Profile Bachelor's or Master s degree in Commerce (B.Com / M.Com). 2 3 years of relevant experience in Accounts Payable or general accounting. Proficient in MS Excel, accounting software (e.g., Tally, ERP systems), and reconciliations. Strong attention to detail with a high level of accuracy in data entry and financial documentation. Knowledge of Indian taxation (TDS, Service Tax) and basic payroll processes. Good communication and organizational skills. Ability to manage multiple priorities and meet deadlines under pressure. Familiarity with ISO procedures and compliance frameworks is an advantage.

Position: Lead Data Engineer Location: Mumbai, India (Hybrid 4 days onsite) Division: Engineering | Full-Time About Blenheim Chalcot Blenheim Chalcot is one of the world s leading digital venture builders. For over 20 years, we've been building disruptive, GenAI-enabled companies across industries such as FinTech, EdTech, GovTech, Media, and Sport. Headquartered in London, we operate globally, with a rapidly growing team in India that supports innovation, growth, and technical excellence across our portfolio. Blenheim Chalcot India, launched in 2009, is a central force behind our success. Our team delivers core services across technology, marketing, HR, finance, legal, and more serving as a powerful launchpad for ventures shaping global trends. About Fospha Fospha is a rapidly growing marketing measurement platform for eCommerce brands. We re certified partners of Meta, TikTok, and Snap, and have earned a reputation for helping some of the world s most well-known D2C brands unlock measurable growth. With product-market fit secured and award-winning success behind us, we re expanding globally and looking for top engineering talent to power our next phase of scale. The Role: Lead Data Engineer We re hiring a Lead Data Engineer to oversee the design, implementation, and performance of scalable ELT pipelines and data infrastructure. This is a hands-on leadership role, ideal for an experienced engineer who excels at building systems, mentoring teams, and driving business value through clean, reliable data. You will lead technical delivery in partnership with analysts, ML engineers, and stakeholders, ensuring data remains a strategic asset across Fospha s product suite. Key Responsibilities Lead and mentor a team of Data Engineers, cultivating a collaborative and high-performance environment. Own the end-to-end delivery of data engineering projects architecture, execution, quality, and scalability. Design and implement robust ELT pipelines using modern tooling and cloud infrastructure. Maintain and enhance data models used by analysts, ML engineers, and product teams. Collaborate across engineering, product, and analytics to define data requirements and delivery roadmaps. Ensure data integrity, reliability, and governance across multiple sources and systems. Contribute to exploratory data analysis, schema evolution, and pipeline optimizations. Identify and implement continuous improvements to processes, tools, and team workflows. Stay abreast of industry trends and emerging tools in data engineering and architecture. About You Required Experience & Skills Proven experience leading data engineering teams with end-to-end technical ownership. Expert-level knowledge of SQL (especially PostgreSQL) and relational databases. Proficiency in Python for data manipulation and scripting. Strong understanding of data pipelines, architecture, and ELT/ETL design. Familiarity with agile software development practices. Preferred Experience Experience using dbt (Data Build Tool) in production environments. Familiarity with AWS data services (e.g., Redshift, S3, Glue, Athena). Exposure to data modeling, statistics, or data science-friendly data design. Education Bachelor's or Master s degree in Computer Science, Engineering, or a related technical discipline. Join the world s leading venture builder, working on GenAI-enabled, high-growth startups. Hybrid work setup: 4 days onsite in our modern Mumbai office. Learn from diverse, top-tier global talent across engineering, data, and product. Culture of continuous learning, mentorship, and rapid innovation. 24 days of annual leave, 6 floater days, and 4 public holidays. Private medical insurance for you and your immediate family. Inclusive parental leave policies and a family-first work culture. A fun and collaborative environment we also own the Rajasthan Royals IPL team! Our Commitment to Diversity At Blenheim Chalcot, inclusion and meritocracy are at the core of our culture. We believe diversity drives better outcomes, and we are committed to fostering a workplace where everyone can thrive and make the most of their skills and potential. Application Process Our streamlined hiring process starts with a 15-minute introductory call, followed by interviews with our engineering leadership. We respect your time and aim to provide prompt, clear communication throughout. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or a related technical discipline.

Data Integration Specialist Python Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all major liquid asset classes. We are a technology-first, data-driven firm, combining deep domain expertise with advanced research and innovative tools to solve complex challenges. Our collaborative culture fuels continuous innovation and a shared commitment to delivering exceptional performance. Your Role at QRT As a Data Integration Specialist, your core mission is to manage and optimize the vast array of datasets that power QRT s research and trading platforms. You will work at the intersection of data engineering and financial markets, ensuring that structured and unstructured data from diverse sources is accessible, reliable, and efficiently integrated. Key Responsibilities Data Pipeline Management: Design, implement, and maintain robust data ingestion and integration pipelines for large-scale financial and alternative datasets. API Development: Contribute to the design and implementation of QRT s internal data store and its API for consumption by research and trading systems. Data Monitoring: Proactively monitor data health and the performance of fetching processes to ensure data quality and availability. Alternative Data Integration: Identify, onboard, and normalize non-traditional datasets into QRT s ecosystem for alpha discovery and research. User Support: Act as a point of contact for quantitative researchers and traders regarding data access, integrity, and customization needs. Required Experience & Skills Experience: 2 10+ years of relevant experience in data engineering, data integration, or financial data operations. Programming: Advanced proficiency in Python is mandatory. Experience or familiarity with C#, Rust, or JavaScript is a plus. Data Handling: Proven experience working with large-scale structured and unstructured datasets. Exposure to modern data technologies including data lakes, data mesh, or cloud-based data platforms. Finance Domain: Experience with financial instruments, market data feeds, and major data vendors (e.g., Bloomberg, Refinitiv) is advantageous. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and collaboratively in a global, fast-paced environment. Excellent English communication skills, both written and verbal. Nice to Have Prior experience in a quantitative research or trading-focused organization. Familiarity with data modeling, ETL frameworks, or real-time data streaming. What QRT Offers Work in a cutting-edge technical environment at the forefront of quantitative finance. Exposure to a diverse range of global financial data and complex integration challenges. A collaborative, intellectually rigorous culture that values innovation and continuous learning. Competitive compensation and benefits. Support for professional development, work-life balance, and diversity and inclusion.

Infrastructure Support Analyst - AWS Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all major liquid asset classes worldwide. We are a technology- and data-driven firm applying a scientific approach to investing. Our culture of collaboration and innovation empowers us to solve complex challenges and deliver superior results for our investors. Role Overview As an Infrastructure Support Analyst (AWS), you will play a critical role in maintaining, supporting, and optimizing QRT s cloud infrastructure. You will work closely with trading, research, and business teams to ensure reliable and scalable cloud services that underpin our technology platform. Key Responsibilities Cloud Infrastructure Management: Design, build, and support cloud-based services primarily on AWS to enable robust trading, research, and business operations. Cross-Team Collaboration: Partner with traders, researchers, and business stakeholders to drive cloud adoption and resolve infrastructure-related challenges. Cloud-First Problem Solving: Implement scalable, secure, and efficient solutions with a cloud-first mindset. Support Critical Infrastructure: Maintain essential systems supporting research technology, trading platforms, market execution, and data processing pipelines. Required Skills & Experience Minimum 2 years of hands-on experience with AWS, including core services such as EC2, S3, VPC, IAM, and Lambda. Strong scripting ability in Python and Bash to automate cloud operations and infrastructure tasks. Familiarity with containerization and orchestration tools like Docker, ECS, and Kubernetes. Experience with configuration management and infrastructure as code tools such as Ansible and Terraform. Working knowledge of Linux and Windows operating systems. Passion for infrastructure engineering and platform support in fast-paced environments. Excellent problem-solving aptitude combined with strong business analytics skills. Preferred Qualifications Certifications such as AWS Certified Solutions Architect, AWS SysOps Administrator, or Linux certifications are a plus. Prior experience supporting infrastructure in trading or financial services environments is advantageous. Opportunity to work with cutting-edge cloud technologies in a high-impact quantitative finance setting. Collaborative and inclusive work culture emphasizing innovation and teamwork. Professional growth and continuous learning opportunities. Competitive salary and comprehensive benefits. Initiatives promoting work-life balance and employee well-being.

Client Accounting Years of Experience: 2-4 years experience Educational qualification: Commerce Graduate Roles and Responsibilities (Indicative): Accounting of Client Pay-in & Pay-out of Funds & Posting respective Entry in client ledger. Prepare Daily Exchange Obligation and manage Fund Flow. Manage Exchange margin on real time basis. Manage Client Receipt from online as well offline mode, simultaneously manage Risk Limits. Daily bank reconciliation of all bank accounts (Clients & Settlement Accounts) and solving the query about banking entries. Preparation of Weekly & Monthly SEBI & Exchange Enhance report. Preparation of Monthly Exchange levies report and Reconciliation with Back office. Processing of Dividend to client & Dividend Reconciliation. Solving all clients Query relation to (Funds pay in & Payout, Demat charges, Account opening, Stocks, Penalty Charges, NRI Clients Query & day to days operation activities) Solving Audit Query (Internal Audit, Statutory Audit, & Exchange Audit) Preparing data for Third Party Products and reconciliation with Business Team. Job location: Kalina, Mumbai (Work from Office)

Position: DP Operations Experience Required: 5+ years Educational Qualification: Graduate/Post Graduate Key Responsibilities: DIVS & Batches Management: Handle DIVS as a Checker (Authorizer) and manage the upload of DIVS batches in NSDL/CDSL. Monitor GAP reports and oversee the issuance and batch uploads in E-DPM. Transaction Authorization: Authorize daily requests for Dematerialization, Rematerialization, Conversion, and Reconversion redemption as the checker. Issue Resolution: Address system errors related to back-office batches and resolve transaction issues by coordinating with vendors and CDSL. MIS Reporting: Prepare daily transaction MIS and ensure proper transaction reconciliation. MIS Publication: Maintain and publish daily MIS reports covering account openings, transactions, demat/remat, pledging, unpledging, and fund payouts for management review. Audit Coordination: Collaborate with internal auditors to address discrepancies or issues related to transactions. FTR & TAT Reporting: Prepare and present monthly FTR and TAT reports for top management and business teams. Regulatory Compliance: Stay updated with and implement regulatory circulars in daily operations. Billing and Reconciliation: Generate monthly billing in the iBeats system and reconcile with CDSL billing. Perform stamp duty charges reconciliation with DP billing and the CDSL stamp duty file. Transaction Statements: Prepare monthly bill cum transaction statement schedules in Bizmail iBeats System and maintain proper logs for audit and inspection purposes. Compliance Reporting: Submit required compliance reports (IAR, RAT, BO grievance, etc.) to the compliance team. Client & Branch Support: Attend to and resolve client and branch requests raised via email. Location: Kalina, Mumbai (Work-from-Office) Qualification : Graduate/Post Graduate

Position: Machine Learning Engineer Location: Vile Parle, Mumbai, Maharashtra, India Job Type: Full-Time About the Role: We are seeking an experienced Machine Learning Engineer to lead our efforts in developing Artificial Intelligence (AI) and Natural Language Processing (NLP) based products. You will be responsible for creating machine learning models, retraining systems, and building self-learning applications. The role requires exceptional skills in statistics, programming, and an in-depth understanding of data science and software engineering. Your primary goal will be to shape and build efficient, self-learning applications that meet business objectives. Key Responsibilities: Model Development: Develop machine learning models that help achieve business objectives and establish metrics to track their progress. Resource Management: Manage resources such as hardware, data, and personnel to meet project deadlines. Algorithm Selection: Analyze and rank ML/NLP algorithms based on their likelihood of success in solving a given problem. Data Analysis: Explore and visualize data to understand its nature and identify potential issues that could affect performance when the model is deployed in real-world settings. Data Acquisition & Preparation: Supervise the data acquisition process and identify additional datasets if necessary. Define the data pre-processing and feature engineering strategies required. Model Training & Tuning: Train models, tune hyperparameters, and analyze model errors, implementing strategies to overcome them. Model Deployment: Deploy models to production and ensure they meet operational requirements. Skills and Qualifications: Experience: Minimum of 3 years of experience as an ML/NLP Engineer or in a similar role. Frameworks & Libraries: Proficiency in machine learning frameworks like Keras or PyTorch and libraries such as scikit-learn, pandas. Data Handling: Expertise in visualizing and manipulating large datasets. Text Representation: Deep understanding of text representation techniques like n-grams, bag of words, sentiment analysis, etc. OpenCV: Proficiency with OpenCV for image processing. Hardware Selection: Ability to select and manage hardware to run ML models efficiently, ensuring the required latency is met. Degree: A degree in Computer Science, Mathematics, Computational Linguistics, or a related field. Qualification : Degree in Computer Science, Mathematics, Computational Linguistics or similar field

Snowflake Developer Location: Mumbai Experience: 6+ years Key Responsibilities: Design & Development: Design and develop data models, schemas, and pipelines in Snowflake. ETL/ELT Implementation: Implement ETL/ELT processes using Snowflake Snowpipe, Streams, and Tasks. Performance Optimization: Optimize query performance, indexing, clustering, and partitioning for large datasets. Stored Procedures & UDFs: Develop stored procedures, UDFs, and views to support business logic. Security & Governance: Manage Snowflake security, role-based access control (RBAC), and data governance. Integration: Integrate Snowflake with various data sources using Python, AWS/Azure/GCP, or ETL tools like Informatica, dbt, Talend, etc. Best Practices: Implement best practices for data warehousing, data lake, and real-time analytics. Collaboration: Work closely with Data Engineers, BI teams, and Analysts to support reporting and analytics. Requirements: Experience: 6+ years of experience working with Snowflake and cloud data platforms. SQL Expertise: Strong expertise in SQL, performance tuning, and optimization. ETL/ELT Tools: Experience with ETL/ELT tools such as dbt, Matillion, Talend, or Informatica. Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, or GCP) and services like S3, Lambda, Data Factory, or Cloud Functions. Data Modeling: Knowledge of data modeling concepts (Star Schema, Snowflake Schema, Fact & Dimension Tables). Scripting: Experience with Python/Shell scripting for automation and data transformations. CI/CD: Understanding of CI/CD for Snowflake development using Git, Terraform, or dbt. Security & Compliance: Strong knowledge of Snowflake security, access controls, and compliance standards. Communication: Excellent communication skills to effectively collaborate with cross-functional teams. If you're a skilled Snowflake Developer looking to work in a dynamic environment and bring innovative solutions to the table, apply now for the position in Mumbai!

Job Title: Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 2 to 3 years Openings: 3 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to derive actionable insights. Implement and optimize deep learning models, including Natural Language Processing (NLP) and computer vision. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training and deployment. Optimize ML models for performance, scalability, and real-time inference. Collaborate with data engineers to build efficient data pipelines. Stay updated with the latest AI/ML advancements and integrate best practices into development. Work closely with cross-functional teams to understand business requirements and deliver AI solutions. Qualifications: Experience: 2-3 years in AI/ML development. Technical Skills: Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, and Scikit-Learn. Hands-on experience in deep learning, NLP, and computer vision. Expertise in handling large datasets and data pre-processing techniques. Experience in deploying ML models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid knowledge of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for structured and unstructured data (text, audio, video). Knowledge of document processing, Vision AI, Audio AI, and building AI-driven systems using Langchain and Rasa. Experience building AI chatbots and voicebots. Familiarity with DevOps and CI/CD for cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative thinking, with a passion for problem-solving. Qualification : Any Graduate / Post Graduate

Job Title: Senior Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 4 to 6 years Openings: 2 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to extract meaningful insights. Implement and optimize deep learning and NLP models for various applications. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training, deployment, and scalability. Optimize ML models for high performance, scalability, and real-time inference. Collaborate with data engineers to build efficient and reliable data pipelines. Stay updated with the latest advancements in AI/ML technologies and best practices. Work closely with cross-functional teams to understand business requirements and deliver AI solutions that address key business challenges. What Qualifications You Will Need: Experience: 4-6 years in AI/ML development, with a focus on building real-world AI systems. Technical Skills: Strong programming skills in Python, with hands-on experience in libraries like TensorFlow, PyTorch, and Scikit-Learn. Proficiency in deep learning, NLP, and computer vision. Expertise in working with large datasets and employing data pre-processing techniques. Experience in deploying machine learning models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid understanding of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for both structured and unstructured data (e.g., text, audio, video). Knowledge of document processing, Vision AI, and Audio AI technologies. Experience building AI agentic systems using Langchain and Rasa. Hands-on experience with developing AI chatbots and voicebots. Familiarity with DevOps practices and CI/CD pipelines (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving abilities. Qualification : Any Graduate / Post Graduate

Job Title: Tech Lead (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 7 to 10 years Openings: 2 What You Will Do: Lead the design and development of scalable, high-performance AI/ML solutions. Define and implement AI/ML architecture and best practices across the team. Guide and mentor the AI/ML team in model development, optimization, and deployment. Work with large datasets to preprocess, analyze, and extract meaningful insights. Develop and optimize deep learning, NLP, and computer vision models. Architect end-to-end AI/ML pipelines, including data collection, model training, and deployment. Implement MLOps practices for continuous integration, deployment, and monitoring of ML models. Leverage cloud platforms (AWS, Azure, GCP) to deliver scalable AI/ML solutions. Collaborate with cross-functional teams to understand business challenges and deliver impactful AI-driven solutions. Stay abreast of the latest advancements in AI/ML and drive innovation within the team. What Qualifications You Will Need: Experience: 7-10 years in AI/ML development, with hands-on experience in designing and architecting AI/ML solutions. Technical Skills: Strong programming skills in Python. Expertise in deep learning, NLP, computer vision, and recommendation systems. Strong knowledge of data engineering, feature engineering, and automation of data pipelines. Experience in deploying AI/ML models on cloud platforms (AWS, Azure, GCP). Familiarity with big data technologies (Spark, Hadoop) and database management (SQL, NoSQL). Proven ability to build and manage end-to-end production-grade AI services. Strong understanding of AI systems architecture. Ownership of solution quality, including functional, technical, performance, and compliance aspects. Hands-on experience with MLOps practices for continuous integration and deployment of ML models. Focus on leveraging AI to improve business outcomes. Deep interest in staying updated with the latest trends in the AI/ML field. Leadership mindset with the ability to guide and mentor developers. Experience with data pre-processing for structured and unstructured data (text, audio, video). Familiarity with document processing, Vision AI, and Audio AI. Expertise in building AI agentic systems using Langchain and Rasa. Experience with AI chatbots and voicebots. Familiarity with DevOps and CI/CD pipelines on cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving skills. Qualification : Any Graduate / Post Graduate

Job Title: Full Stack Java Developer Location: Mumbai Experience: 7+ years Company: MSCI About MSCI: At MSCI, we power better investment decisions by delivering critical decision-support tools and services to the global investment community. With over 50 years of expertise in research, data, and technology, MSCI helps clients understand risk, improve transparency, and build more effective portfolios. Our innovative, high-performance culture encourages experimentation, accountability, and continuous learning. We actively foster inclusion, belonging, and connection through diverse Employee Resource Groups and flexible working arrangements, empowering every employee to thrive. Your Role: We are looking for a highly skilled Full Stack Java Developer to join our Corporate Events and Dividends data management team in Mumbai. You will play a pivotal role in designing, building, and maintaining cutting-edge data solutions that support critical financial processes. This is an exciting opportunity to collaborate with global IT and business teams, applying your technical expertise to solve complex problems, optimize performance, and contribute directly to MSCI s innovative products. Key Responsibilities: Design and develop robust, scalable, and high-performance solutions for data management systems. Collaborate closely with global IT and business teams to understand requirements and translate them into technical solutions. Write and optimize complex SQL queries for high-volume data processing in Oracle or other relational databases. Lead and contribute to technical discussions with senior engineers, architects, and business stakeholders. Build responsive and intuitive web interfaces using TypeScript and frameworks like React, Angular, or Vue. Implement and manage concurrent, multi-threaded systems while addressing potential challenges in such environments. Ensure adherence to best practices in object-oriented design, memory management, performance tuning, and system architecture. Develop RESTful APIs to facilitate seamless data exchange across platforms. Drive code quality and performance optimization through effective reviews and hands-on problem-solving. Take full ownership of deliverables, working both independently and collaboratively in a diverse, global team. Skills & Experience Required: Minimum 7 years of hands-on experience in Java development, with a focus on object-oriented design and multi-threaded applications. Strong expertise in Spring framework, JMS, and core Java technologies. Solid experience working with relational databases (preferably Oracle) ability to write complex SQL queries and perform SQL performance tuning. In-depth understanding of Java internals, including data structures, memory management, garbage collection, and concurrent programming. Experience building responsive user interfaces using TypeScript and frameworks like React, Angular, or Vue. Experience working in a UNIX environment is highly desirable. Familiarity with cloud technologies (Azure/AWS) is a strong plus. Experience with REST API development. Strong analytical mindset with exceptional problem-solving skills. Ability to communicate effectively and work seamlessly in a collaborative, global team environment. Preferred Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field (First class preferred). Alternatively, a Master s degree (MCA/M.Tech) is also acceptable. What We Offer: Transparent and competitive compensation. Comprehensive benefits tailored to your location. Flexible work arrangements and cutting-edge technology. Global Orientation Program and continuous learning opportunities through Learning@MSCI and LinkedIn Learning Pro. Clear, multi-directional career paths that foster professional growth. A culture of high performance, innovation, and inclusion supported by Employee Resource Groups such as Women in Tech, Pride & Allies, All Abilities, and more. Join us at MSCI and become part of a global team that drives innovation and creates industry-leading solutions. Qualification : Bachelors degree in Computer Science, Information Technology, or related field (First class preferred).

Job Title: Data Collection Transformation Senior Associate Location: Mumbai Experience: Relevant experience in data acquisition, ESG data management, process automation, and data quality. Company: MSCI About MSCI: MSCI is a global leader in decision-support tools and services for the investment community. With over 50 years of expertise in research, data, and technology, we help clients understand key drivers of risk and return, enabling them to build more effective portfolios with enhanced transparency. At MSCI, we foster a culture of innovation, high performance, and inclusion, empowering our people to grow their careers through continuous learning and a wide range of internal mobility opportunities. Your Team: The ESG Data Collection team plays a critical role in acquiring, validating, and maintaining high-quality ESG data that powers MSCI s ESG products. As part of this team, you will work at the forefront of MSCI s ESG transformation agenda, driving projects that enhance data quality, scalability, and automation to meet the evolving ESG landscape and its growing importance in global financial markets. Your Key Responsibilities: Collaborate with internal ESG Research and Technology teams to design and operationalize data collection processes aligned with evolving ESG and Climate frameworks. Work on electronification of ESG policies and principles by converting them into structured, operational data definitions. Develop data collection templates and translate them into implementable data models. Conduct hands-on research and analysis of company disclosures to support scalable data collection solutions. Analyze collected and third-party datasets to detect patterns and trends, enabling development of automated anomaly detection frameworks. Design and implement contextual/thematic QA checks to strengthen data quality controls, leveraging historical data correction patterns. Collaborate with technology teams to build NLP-driven data extraction models (leveraging both traditional methods and LLMs) to automate identification and extraction of relevant ESG facts from disclosures. Help establish and optimize new data collection processes while ensuring seamless integration with existing workflows. Deliver high-quality data aligned with MSCI methodology, service-level agreements, and regulatory requirements. Contribute to creating methodology and SOP documentation, embedding data and content expertise into internal processes. Drive process automation by developing tools and systems for automated data quality diagnostics, reducing manual intervention. Build dashboards and reports to visualize data quality metrics, identify outliers, and provide data-driven recommendations to stakeholders. Partner with internal stakeholders, including downstream teams, Research, and Product teams, to understand data requirements and ensure seamless delivery. What We re Looking For: Strong analytical mindset with a keen attention to detail. Hands-on experience with Python/SQL for data analysis and process automation; exposure to Machine Learning/RPA is a plus. Experience working with visualization tools such as Power BI. Advanced Excel skills, with the ability to manipulate and analyze complex datasets. Self-starter with strong problem-solving abilities, capable of working in unstructured environments. Strong collaboration and communication skills, with comfort working across hierarchies, functions, and geographies. Previous experience in Financial Services, Technology, or Business Analysis, ideally with exposure to ESG data. Basic understanding of financial markets and asset classes; ESG knowledge would be a significant advantage. Preferred Qualifications: Bachelor s or Master s degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field. Certifications in ESG, Sustainable Finance, or Data Analytics are a plus. What We Offer: Transparent compensation and comprehensive benefits tailored to your location. Flexible work options and access to cutting-edge technology. A culture of learning and development, with access to LinkedIn Learning Pro and Learning@MSCI. Clear career progression paths with opportunities for internal mobility and leadership development. A global network of talented colleagues, supported by inclusive Employee Resource Groups like Women in Tech, Climate Action Network, and more. Qualification : Bachelors or Masters degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field.

Description The Wind Resource Assessment Engineer will support a broad range of studies and other consulting services to support power producers to make decisions backed by business and engineering analysis, such as site condition assessments, independent engineering assessments, benchmarking assessments, feasibility studies, unit parameter studies, equipment reliability assessments, and other power generation studies. The engineer should have deep knowledge of Windographer, OpenWind, WindPRO and working knowledge of GIS software. This Engineer will be a lead contributor to the execution of technical studies and work with project managers to lead the technical execution for projects. The engineer will assist the project managers and lead aspects of project execution including Engineering Analysis, Project scheduling, deliverables, and quality management. The engineer will support and lead both on-the-job and classroom training efforts for less experienced team members. Key responsibilities will include: The engineer will be responsible for performing energy production estimates for wind farms using industry standard techniques. This will include processing and cleaning on-site wind data, generating wind flow models, performing site specific energy losses and uncertainty analysis. Understand project constraints to optimize proposed wind farm production or cost of energy production. Support project managers in execution of projects. Lead aspects of project execution including data collection, engineering, financial, and technical analysis; maintain project schedule; develop key project deliverables including analysis, reports, and presentations; support the project manager in quality control of deliverables; analyze and communicate project status, risks, schedule, and costs to project managers; plan, organize, and communicate project personnel needs to project and department management. Other duties as assigned. Qualifications Bachelor of Technology in Mechanical/Electrical engineering or related degree from an accredited program. Master s degree in the relevant field will be an added advantage. 4 to 5 years of experience associated with Wind data analysis, operations, planning, or consulting. Project experience with Wind generation such as project development and site selection, asset due diligence and acquisition support, independent engineer services, condition assessments, and cost and performance benchmarking, asset management, operations, maintenance, and engineering management. It is expected to be able to develop efficient wind turbine arrays considering site constraints and energy production. Knowledge in standard engineering, construction, and operation techniques, principles, and procedures associated with power generation facilities, specifically wind generation. Strong attention to detail, facilitation, team building, collaboration, organization, and problem-solving skills. Ability to work methodically and analytically in a quantitative problem-solving environment. Demonstrated leadership skills. Ability to independently solve difficult problems that require adaptation and modification of standard techniques, procedures, and criteria. Excellent written and oral communications skills. Demonstrated critical thinking skills. Ability to perform under pressure and tight deadlines and to be effective in on-site work environments. Ability to manage multiple projects concurrently, including identification of critical path items to ensure deliverable deadlines are met. Ability to focus on the big picture to effectively and efficiently provide services that meet client needs, while also having the ability to identify and analyze details that are critical to project outcomes. Willingness to learn new service offerings as client needs and the market requires changes to the service offerings provided by our group. Proficient in Microsoft Office Suite (Word, Excel, PPT). Qualification : Bachelor of Technology in Mechanical/Electrical engineering or related degree from an accredited program. Masters degree in the relevant field will be an added advantage.

Position: Natural Language Processing (NLP) Engineer - Fundamental Fixed Income Team About the Role: BlackRock's active fixed income portfolio strategies span across a wide range of investment styles and segments, with a focus on alpha generation and risk management. The team uses a combination of top-down insights from lead portfolio managers and bottom-up expertise from sector specialists to deliver attractive returns in various market conditions. Join the Fundamental Fixed Income team and make a significant impact by using advanced data science techniques to solve complex problems in finance. Your Responsibilities: Work with advanced natural language processing (NLP) tools like SpaCy, NLTK, or Hugging Face, with an understanding of implementing Vector Databases. Follow best programming practices such as unit tests, code organization, and basics of CI/CD to create well-maintainable and tested codebases. Develop prototypes for individual components of software or data science solutions, leveraging basic data structures and algorithms. Collaborate with peers within PMG and iHub India (MASS Labs, RQA Labs, AI Labs) to continue research on use cases developed within firm-wide initiatives. Education and Qualifications/Skills: 7-12 years of experience in a relevant field. Motivated team player with the ability to work independently and flexibly. Proficiency in Python, including experience with machine learning libraries such as TensorFlow, PyTorch, or Keras. Solid understanding of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory. Knowledge of at least one domain such as generative AI, statistical learning, optimization, NLP, deep learning, or time series analysis. A passion for solving real-world finance problems using data science and machine learning approaches. Strong analytical thinking skills and ability to creatively solve business problems. Experience with data exploration, analysis, and creating visualizations, and implementing algorithmic solutions in ML. Self-driven, results-oriented, and able to collaborate effectively across time zones and geographies. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model supports collaboration while offering flexibility. Employees are required to work at least 4 days in the office per week, with the option to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. About BlackRock: At BlackRock, we are united by one mission: helping more people experience financial well-being. Our clients use their investments to save for retirement, pay for education, buy homes, and start businesses. These investments strengthen the global economy, supporting businesses large and small, financing infrastructure projects, and fueling innovations. Our mission would not be possible without our greatest investment our people. We re committed to fostering an environment where employees feel welcomed, valued, and supported with benefits, networks, and opportunities for growth.

about the role Data Engineer identifies the business problem and translates these to data services and engineering outcomes. You will deliver data solutions that empower better decision making and flexibility of your solution that scales to respond to broader business questions. key responsibilities As a Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts and data scientists to understand the business domain and engage with fellow engineers to build data products that empower better decision making. You are passionate about data quality of our business metrics and flexibility of your solution that scales to respond to broader business questions. If you love to solve problems using your skills, then come join the Team Searce. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself. Consistently strive to acquire new skills on Cloud, DevOps, Big Data, AI and ML Understand the business problem and translate these to data services and engineering outcomes Explore new technologies and learn new techniques to solve business problems creatively Think big! and drive the strategy for better data quality for the customers Collaborate with many teams - engineering and business, to build better data products preferred qualifications Over 1-2 years of experience with Hands-on experience of any one programming language (Python, Java, Scala) Understanding of SQL is must Big data (Hadoop, Hive, Yarn, Sqoop) MPP platforms (Spark, Pig, Presto) Data-pipeline & schedular tool (Ozzie, Airflow, Nifi) Streaming engines (Kafka, Storm, Spark Streaming) Any Relational database or DW experience Any ETL tool experience Hands-on experience in pipeline design, ETL and application development Good communication skills Experience in working independently and strong analytical skills Dependable and good team player Desire to learn and work with new technologies Automation in your blood

About MSCI MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, MSCI powers better investment decisions by helping clients understand key drivers of risk and return. We deliver industry-leading research-enhanced solutions that empower clients to improve transparency across their investment processes. Job Description We are seeking a Full Stack Java Developer to join our dynamic software development team in Mumbai. The selected candidate will have the opportunity to design, build, and maintain cutting-edge data management solutions for Corporate Events and Dividends, with a strong emphasis on technical excellence and business acumen. Your Team Responsibilities Core Java Development: Write and maintain robust, high-performance Java applications using the Spring framework. Relational Database Expertise: Work with Oracle databases, design complex SQL queries, and optimize performance to process large volumes of data that support critical business processes. Business Acumen: Leverage a strong understanding of financial concepts, particularly reference data related to equities and other asset classes. Web Development: Implement web interfaces using Typescript and frameworks like Angular, React, or Vue. Technical Leadership: Lead discussions with technical experts and business stakeholders, driving solutions that align with business goals. Concurrent Systems: Work in a multi-threaded environment, addressing potential issues related to concurrency and scalability. Your Key Responsibilities Independent & Team Work: Collaborate with global IT and business teams, taking ownership of projects and working independently when required. Multi-threaded Application Development: Develop scalable, multi-threaded enterprise applications that handle large-scale, concurrent data processing. Database Performance: Use JDBC, SQL tuning, and stored procedures to enhance database performance and handle complex data queries. System Design: Design and develop systems with in-depth knowledge of Java memory model, garbage collection, and data structures. Web Interface Design: Create user-friendly interfaces using Typescript and modern frontend frameworks (Angular, React, or Vue). Cloud Exposure: Work with Cloud technologies (Azure / AWS) to support scalability and modernize system architecture. Skills and Experience That Will Help You Excel 1. Java Development: At least 7 years of hands-on experience in Java, including object-oriented design and multi-threaded development. Strong expertise with Spring, JMS, and core Java technologies. 2. Relational Database Expertise: Deep experience with Oracle databases, including writing and optimizing complex SQL queries and stored procedures. Knowledge of database performance tuning techniques and best practices. 3. Frontend Development: Proficient in Typescript and at least one of the following frontend frameworks: React, Vue, or Angular. 4. System Design & Performance: Expertise in designing scalable systems and handling Java memory model, concurrent data structures, and garbage collection. Solid understanding of RESTful APIs and modern authentication protocols. 5. Cloud & Infrastructure: Familiarity with Azure or AWS technologies. 6. Additional Skills: Experience working in a Unix environment. Strong sense of ownership, and ability to collaborate and lead technical discussions within a diverse, global team. What We Offer Compensation & Benefits: Competitive compensation, comprehensive employee benefits tailored to your location, and a focus on your financial, health, and overall well-being. Flexible Working: Enjoy flexible working arrangements, advanced technology, and collaborative workspaces. Learning & Development: Access to Learning@MSCI, LinkedIn Learning Pro, and other tailored learning opportunities for continuous growth. Career Growth: Multi-directional career paths, offering internal mobility and professional development. Inclusive Culture: A workplace that embraces diversity and inclusion with access to employee resource groups such as Pride & Allies, Women in Tech, and Climate Action Network. Global Network: Work alongside a talented network of colleagues across the globe, contributing to impactful solutions. Equal Opportunity MSCI is an equal opportunity employer committed to diversifying its workforce. We provide reasonable accommodations for individuals with disabilities during the recruitment process and ensure a workplace free of discrimination.