AI Ethics Jobs in Mumbai

Position Title: Senior Vice President Data, AI & Cloud Location: Mumbai Department: Technology Role Overview We are seeking a visionary technology leader to serve as Senior Vice President Data, AI & Cloud, responsible for architecting and executing our enterprise-wide data, AI/ML, and cloud strategy. This is a transformative leadership role that combines deep technical expertise with strong business acumen to drive innovation, operational efficiency, and intelligent decision-making across the organization. You will lead platform modernization, enable large-scale AI/ML adoption, and optimize cloud infrastructure, all while building a culture where data and AI are embedded in everyday decision-making. The ideal candidate will be both a strategic thinker and a hands-on technologist capable of translating cutting-edge developments like generative AI and LLMs into practical enterprise applications. Key Responsibilities Strategic Leadership Define and implement a cohesive strategy across Data, AI/ML, and Cloud aligned with enterprise objectives. Drive AI democratization by embedding intelligence in core workflows and decision systems. Champion a data-driven, innovation-first culture across both business and technology teams. AI Advocacy & Adoption Act as the internal evangelist for AI leading awareness, education, and enablement initiatives. Partner with cross-functional teams (product, credit, operations, etc.) to co-create impactful AI solutions. Translate advanced AI technologies (LLMs, generative AI, agentic workflows) into scalable enterprise applications. AI/ML Delivery & Innovation Lead end-to-end development and deployment of AI/ML solutions across key areas: credit scoring, collections, fraud detection, automation, and customer insights. Promote the adoption of LLMs and generative AI to power personalization and intelligent decisioning systems. Institutionalize MLOps, Infrastructure-as-Code (IaC), and model observability practices. Data Platform & Governance Overhaul and modernize data architecture with real-time, scalable, cloud-native solutions. Establish and enforce robust data governance, data quality, privacy, and compliance practices (aligned with RBI and other regulatory norms). Cloud Infrastructure & Optimization Architect and maintain a secure, scalable, cost-optimized AWS environment. Implement best-in-class DevOps, Infrastructure-as-Code, and monitoring practices using tools like Terraform, Kubernetes, and Cloud-native observability suites. Team & Capability Building Build and lead high-performing teams across Data Engineering, ML Engineering, and Cloud Operations. Mentor and inspire talent to drive innovation and cross-functional collaboration. Technology Stack AI/ML: Python, TensorFlow, PyTorch, MLflow, LangChain, LLMs, Agentic Workflows Cloud (AWS): S3, EKS, ECR, Lambda, CloudWatch, CloudTrail, IAM, SageMaker, Bedrock Databases: RDBMS, Amazon Redshift, MongoDB DevOps & Infrastructure: Terraform, Kubernetes, CI/CD tools, ETL pipelines Desired Candidate Profile 12+ years of progressive experience in data engineering, AI/ML, and cloud infrastructure roles, with at least 5 years in a leadership capacity. Proven success in leading data platform modernization and delivering enterprise-scale AI solutions in regulated industries preferably financial services. Deep hands-on expertise with Python, ML frameworks (TensorFlow, PyTorch), MLOps tools (MLflow), and generative AI platforms (LangChain, LLMs). Strong understanding of financial data, credit models, risk analytics, and compliance requirements (including RBI regulations). Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field

Position Title: Senior Manager Generative AI & Innovation Lead Location: Mumbai Department: Data Science, AI & Innovation Job Summary We are looking for a forward-thinking and execution-focused Generative AI & Innovation Lead to drive AI-led transformation in the lending industry. In this high-impact role, you will be responsible for identifying, prototyping, and scaling cutting-edge generative AI solutions that enhance efficiency, improve customer experiences, and streamline business processes across the organization. This position is ideal for a passionate innovator who understands the rapidly evolving AI landscape and can bridge the gap between advanced technologies and real-world business needs particularly in financial services. Key Responsibilities Strategic Innovation Leadership Lead AI innovation initiatives by identifying high-impact generative AI use cases across the lending value chain. Develop and own the roadmap for generative AI adoption aligned with key business objectives. Act as a catalyst for organization-wide transformation through AI-powered solutions. Technology & Ecosystem Awareness Stay on top of the latest advancements in LLMs, multimodal AI models, and agentic frameworks. Evaluate enterprise platforms such as AWS Bedrock, Azure OpenAI, Google Vertex AI, and open-source alternatives. Build internal awareness of emerging technologies and their potential applications. Competitive & Market Intelligence Benchmark AI adoption in financial services and lending industries. Analyze competitor strategies and identify whitespace opportunities and unmet customer needs. Use Case Development & Experimentation Collaborate with business, data science, and tech teams to prioritize and validate high-impact use cases. Rapidly design and develop proof-of-concepts (POCs) with measurable success metrics. Scale validated solutions into production with focus on usability, scalability, and business ROI. Agile & Lean Execution Foster a fail-fast, learn-fast culture with cost-efficient experimentation. Promote lean innovation and lead internal evangelism for AI-driven transformation. Cross-functional Collaboration Partner with engineering, data science, product, compliance, and legal teams for ethical, scalable deployment. Ensure adherence to governance standards, including explainability, fairness, and regulatory compliance. Qualifications & Experience Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field; MBA is a plus. 2+ years of experience in AI/ML, with at least 1 year hands-on in Generative AI. Proven track record of leading innovation or AI-driven initiatives, preferably in lending or financial services. Deep understanding of the lending lifecycle, including underwriting, collections, risk models, and regulatory frameworks. Hands-on experience with LLMs (e.g., GPT, Claude, Mistral, LLaMA), embedding models, prompt engineering, and vector databases. Familiarity with cloud platforms (AWS, Azure, GCP) and orchestration tools like LangChain, Haystack. Excellent communication, leadership, and stakeholder management skills. Preferred Skills Experience with synthetic data generation, document AI, conversational AI, or autonomous agents. Understanding of ethical AI, privacy laws, and compliance standards in financial services. Exposure to startups or intrapreneurial roles in launching new AI products or platforms. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field; MBA is a plus

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Role Overview We are seeking a seasoned and innovative Deputy Vice President Data Science to lead cutting-edge AI and data science initiatives. The ideal candidate will drive the development and deployment of machine learning models, architect cloud-native AI platforms, and guide strategic transformation through advanced analytics. This role requires strong leadership, deep technical expertise, and the ability to collaborate across business and technology teams to deliver measurable impact. Key Responsibilities AI & Machine Learning: Design, develop, and implement advanced machine learning models for predictive analytics, NLP, computer vision, and recommendation engines. Lead end-to-end AI project lifecycles, including model validation, productionization, and continuous optimization using frameworks like TensorFlow, PyTorch, and scikit-learn. Stay current with the latest developments in Generative AI, foundation models, and LLMs; evaluate and integrate them into solutions where applicable. Identify and prioritize AI use cases in collaboration with cross-functional teams to create business value. Data Science & Analytics: Lead the complete analytics lifecycle from data exploration and model building to insight generation and product deployment. Work closely with data engineers and analysts to develop scalable, high-impact solutions that influence business outcomes. Leadership & Strategy: Mentor and develop junior team members, promoting a culture of learning, experimentation, and excellence. Contribute to enterprise-wide AI and cloud strategies, including vision setting and roadmap development. Cloud Architecture & Engineering: Architect and implement cloud-native AI and data platforms on GCP (preferred), with working knowledge of AWS or Azure. Build and optimize scalable ML workflows and data pipelines using platforms like Vertex AI, SageMaker, or Azure ML. Ensure secure, scalable, and cost-effective infrastructure, supported by CI/CD pipelines and MLOps best practices. Required Skills & Qualifications Technical Proficiency: Strong coding skills in Python and SQL. Expert-level knowledge of ML frameworks: TensorFlow, PyTorch, Hugging Face, scikit-learn. Practical experience with Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) techniques. Cloud & Engineering: Proficient in designing solutions on Google Cloud Platform (GCP); experience with AWS or Azure is a plus. Familiarity with data tools like BigQuery, Kafka, Snowflake. Strong knowledge of MLOps, including CI/CD pipelines, model monitoring, and A/B testing frameworks. Governance & Ethics: Solid understanding of data privacy, governance, and responsible AI principles.

Job Title: Digital AI Manager Location: Mumbai Function: Supply Chain Procurement About Procurement at Unilever Unilever s Procurement team manages over 30 billion in global spend across 50,000+ suppliers. As part of the Supply Chain, Procurement is essential to delivering sustainably sourced materials and services, driving innovation with our partners, and ensuring our purpose-led brands thrive. Our global procurement organization of 1,400+ professionals supports a wide network, including more than 1.5 million smallholder farmers, impacting over 7 million lives. Guided by our Procurement Lighthouse Strategy, we focus on five pillars: Competitive Buying, Resilience, Partnerships, Sustainability, and Value Chain Excellence all powered by Digital and Technology. About the Strategy & Insights Team Established three years ago, the Procurement Strategy & Insights team serves as the nerve center of Unilever s global procurement function. With a vision of transforming knowledge and data into future-fit strategies, the team enables breakthrough transformation across tools, processes, and business models. The team includes: Strategy Team Drives strategic priorities across Business Groups (BG) and Power of One. Insights Team Leads data-driven programs and cross-functional initiatives. Digital Transformation Team Builds digital capabilities, tools, and data infrastructure. Data & AI Innovation Team Focuses on cutting-edge analytics, AI, and Procurement GPT solutions. Role Overview: Digital AI Manager B&W As Digital AI Manager B&W, you will lead the adoption and integration of digital and AI tools within Unilever Procurement. You will drive the implementation of mature AI/analytics solutions, champion digital adoption within the buyer community, and manage transformation initiatives aligned with our 4D Digital Lighthouse Strategy. You will also act as the Program Manager for the Procurement GPT Hero Use Case, helping scale innovative AI-driven solutions. Key Responsibilities 1. Drive 4D Digital Lighthouse Strategy Data Foundations: Enhance the Procurement Data Lake by integrating internal (Unilever Datalake, BDL) and external data (market intelligence, sustainability, resilience, etc.). Maintain a high-quality, accessible data catalogue. Advanced Analytics: Deliver scalable analytics use cases, build self-service analytics tools, and enable data-driven decision-making across key procurement programs. Tool Integration & Automation: Improve and integrate digital tools into the 7-step strategic sourcing process. Enhance the Buyers Console as the central hub for digital tools and services. Culture & Capability Building: Lead digital adoption programs, deliver training (e.g., DigiCon), and drive capability building across the procurement community. 2. Procurement GPT Program Collaborate closely with the Data & AI Innovation team on advanced AI use cases. Manage the transition of innovations into mainstream adoption and support scaled implementation. Key Stakeholders Procurement Leadership Team (UPLT) Head of Strategy & Insights Global Buyer Community UniOps External technology and AI partners Leadership Competencies Strong stakeholder management across complex, matrixed environments Expertise in change management and adoption strategies Skilled in agile project and program management Passion for digital innovation, transformation, and continuous improvement Required Experience Minimum 5 years experience in Unilever or similar FMCG environment Proven experience in digital transformation, analytics, or change leadership roles Track record of delivering strategic, cross-regional initiatives Ability to work in diverse, cross-functional, and global teams

Position: Finance Associate Location: Mumbai, India (Andheri East) Division: Finance Employment Type: Full-Time, Onsite (5 days a week) About Blenheim Chalcot Blenheim Chalcot is a leading global venture builder with over 25 years of experience creating and growing SaaS businesses powered by Generative AI. With a portfolio of 60+ ventures across sectors including financial services, education, health, and marketing, we leverage a global ecosystem spanning Scale Space in London, Rajasthan Royals in Mumbai, and a go-to-market hub in Austin. This network provides unparalleled access to top-tier talent, advanced tools, and resources to accelerate growth and establish market-leading businesses. Our Values Honesty and Integrity: We build trust through transparency and ethical conduct. Resilience: We stay optimistic, embrace feedback, and adapt in the face of challenges. Teamwork: We collaborate to elevate each other and achieve shared goals. Innovation: We relentlessly seek improvements and challenge the status status quo. Deliver Results: We commit to excellence and fulfill our promises. Commercial Awareness: We prioritize cost-effective solutions and smart resource management. Role Overview As a Finance Associate, you will be instrumental in managing daily accounting operations and supporting the financial health of our AI-driven tech ventures. Reporting to the Finance Manager, you will ensure accurate month-end processes, streamline accounts payable, and contribute to process improvements that enhance reporting quality and operational efficiency. Key Responsibilities Manage month-end accruals and apply core accounting principles accurately. Handle Accounts Payable processes efficiently. Perform bookkeeping tasks using accounting software such as QuickBooks, Xero, SAP, Netsuite, etc. Work comfortably with large data sets, ensuring data integrity and accuracy. Communicate effectively with internal teams, expressing ideas clearly and participating actively in discussions. Maintain high attention to detail in all financial transactions and reporting activities. Who You Are CA/ACCA/CIMA qualified with 4+ years of relevant finance experience. Strong technical understanding of accounting standards and month-end closing procedures. Hands-on experience with Accounts Payable and bookkeeping. Proficient in multiple accounting software platforms (QuickBooks, Xero, SAP, Netsuite). Comfortable analyzing large volumes of financial data with accuracy. Excellent communicator, able to collaborate across teams and engage proactively. Detail-oriented, reliable, and committed to delivering high-quality work. Adaptable to a fast-paced environment with evolving priorities. Work in a dynamic startup-corporate hybrid environment at the forefront of AI-driven technology. Collaborate with a global, diverse team passionate about innovation and impact. Opportunity to develop your finance career within a supportive, growth-focused company. Competitive compensation and benefits aligned with industry standards. Recruitment Process We have a thorough recruitment process to ensure we hire the best talent. This role requires full-time office presence at our Andheri East location with flexibility to accommodate personal commitments. Being onsite fosters collaboration and connection across our global portfolio.

AI/ML Developer Location: Mumbai Experience: 5+ years Key Responsibilities: AI/ML Solutions Development: Develop, deploy, and maintain scalable AI/ML solutions tailored to the healthcare industry. Data Preprocessing & Structuring: Collaborate with data engineers and analysts to preprocess, clean, and structure healthcare data for machine learning applications. Model Design & Implementation: Design and implement machine learning models for real-world healthcare challenges like patient readmission prediction, disease progression modeling, and medical image analysis. Production Integration: Integrate AI/ML solutions into production environments, ensuring models are efficient, reliable, and meet client goals. Client Collaboration: Work with healthcare clients to define project requirements and KPIs, ensuring the solution brings measurable value. AI/ML Advancements: Stay up to date with the latest advancements in AI/ML, particularly in healthcare, and integrate new techniques to improve solutions. Regulatory Compliance: Ensure all AI/ML applications meet healthcare regulations (e.g., HIPAA, GDPR) and maintain high standards for patient data privacy and security. Model Monitoring & Optimization: Monitor, fine-tune, and update models post-deployment to maintain optimal performance and adapt to evolving healthcare data. Requirements: Experience: 5+ years in AI/ML, deep learning, and machine learning applications, preferably in the healthcare industry. Technical Skills: Proficiency in Python and/or R, with experience in ML libraries like TensorFlow, PyTorch, Scikit-Learn, etc. Healthcare Data Expertise: Strong understanding of healthcare data types and sources (e.g., EHR/EMR data, claims data, imaging data, genomics). Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and deploying ML models in these environments. Healthcare ML Use Cases: Experience in healthcare-specific ML use cases such as patient outcome predictions, medical image classification, and NLP for clinical notes. Regulatory Knowledge: Strong understanding of healthcare privacy and regulatory standards (e.g., HIPAA, GDPR). Communication Skills: Excellent problem-solving, analytical, and communication skills, with the ability to convey complex technical ideas to non-technical stakeholders. Shift Flexibility: Ready to work in shifts to accommodate the global nature of healthcare projects. If you're passionate about developing impactful AI/ML solutions in the healthcare industry and have the required expertise, apply now for the AI/ML Developer position in Mumbai!

Job Title: Pre-Sales Business Analyst (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 10-14 years Openings: 3 Overview: We are seeking a skilled Pre-Sales Business Analyst with expertise in AI/ML and custom software solutions. In this role, you will serve as a key liaison between business stakeholders and technical teams, ensuring alignment in delivering AI/ML-driven solutions that meet client objectives. Key Responsibilities: Act as the primary interface between business stakeholders and technical teams for AI/ML and custom software solutions. Collaborate with clients to gather requirements, define business needs, and document functional and technical specifications. Lead pre-sales activities, including crafting proposals, presentations, RFP responses, and Proof of Concepts (PoCs). Partner with sales and technical teams to develop AI/ML solutions that align with business goals. Conduct market research, competitor analysis, and feasibility studies for AI/ML and custom application projects. Assist in defining solution architecture, pricing models, and go-to-market strategies. Create business cases, ROI analyses, and solution roadmaps to support sales initiatives. Engage with clients for demos, technical discussions, and requirements clarification. Ensure alignment between business needs and technical feasibility through collaboration with product and development teams. Stay abreast of industry trends, emerging technologies, and advancements in AI/ML to enhance solution offerings. Qualifications: 10+ years of experience as a Business Analyst, with a minimum of 4 years in pre-sales for AI/ML and custom applications. Strong communication skills in English, with experience in consulting US businesses. Deep understanding of the AI/ML landscape, with hands-on development experience in AI. Ability to engage in technical-level discussions with both customers and internal teams. A sharp focus on identifying business use cases and understanding customer challenges, aspirations, and priorities. Proven ability to research, develop, and propose solution outlines tailored to client needs. Strong capability to create clear value propositions for proposed solutions. Experience in developing implementation plans within an Agile SDLC framework. Ability to mentor and guide junior pre-sales executives. Qualification : Any Graduate / Post Graduate

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

About the job As an AI Sales Specialist, you will be responsible for growing our AI business by building and expanding relationships with new and existing customers. You will possess the necessary promoting skills to effectively build relationships with both Cloud Field Sales Representatives (FSRs), Customer Engineers (CEs) as well as new and existing customers. You will develop relationships with external customer stakeholders, identifying innovative ways to multiply your impact and the impact of the team as a whole. You will partner with internal Google Cloud Platform (GCP) Sales teams to grow their AI businesses and drive overall value for GCP. Business cycles will include a combination of productivity use cases, as well as working with product teams to help our customers build new products leveraging our AI. Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build relationships with customers as a subject matter expert and trusted advisor, managing complex business cycles, identifying solution use cases, and influencing long-term strategic direction of accounts. Deliver against quota and achieve or exceed strategic business and growth goals while forecasting and reporting your territory s business. Work with Google accounts and cross-functional teams (e.g., Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer, and provide excellent prospect and customer experience. Develop and execute strategic account plans informed by our responsible AI framework across an assigned territory or market. Work with multiple customers and opportunities simultaneously, understanding each customer s technology footprint and strategy, growth plans, business drivers, competitors, and how they can transform their business using our technologies. Minimum qualifications: Bachelor's degree or equivalent practical experience. 12 years of experience in promoting IT business solutions and executing a territory business strategy. Experience partnering with technical staff to build business cases and implementation plans. Experience identifying and driving use cases to solve customer problems. Preferred qualifications: Experience working with and managing partners in complex implementation projects including global system integrators and packaged software vendors. Experience with promoting the AI technology stack. Experience working with product teams and an understanding of how to embed our technology into their product set. Familiarity with Google Cloud and Google Cloud AI offerings. Ability to connect AI/ML with business value and engage executive stakeholders as an advisor and thought leader. Ability to drive business growth across a broad set of industry-specific AI/ML use cases.

Position: AWS Partner Development Manager Overview: AWS Partner Development Managers (PDMs) play a pivotal role in developing and promoting the AWS Partner Network (APN) across specific technology areas and industries. This position is focused on accelerating the growth of AWS's partner ecosystem, working closely with AWS partners who provide cloud-based solutions and consulting services to clients. These partners assist customers in migrating to the cloud, modernizing applications, leveraging data and analytics, and adopting AI/ML technologies to enhance their digital transformation. As an AWS Partner Development Manager, you will collaborate across AWS teams to build strong partnerships and guide AWS partners in delivering solutions to customers. Your role will involve direct interaction with partners and customers, helping them to navigate AWS's AI services, platforms, and frameworks to achieve business objectives. Key Responsibilities: AI Solution Implementation: Work directly with partners to understand their business needs and assist in implementing AI solutions using AWS AI services, platforms, and frameworks. Guide customers through the adoption process and help bring AI projects from inception to production. Full-Stack ML/AI Projects: Support customers in delivering end-to-end machine learning (ML) and deep learning (DL) projects, including data aggregation, model building, validation, and deployment, ensuring business impact. AWS Tools and Services: Utilize Amazon SageMaker and Amazon Bedrock to assist customers in building and deploying AI and ML models. Help customers identify and address model drift and retrain models when necessary. Research & Innovation: Conduct research and implement novel ML and DL approaches to drive innovation for AWS customers. Knowledge Sharing: Deliver best practices, tutorials, blog posts, sample code, and presentations tailored for technical, business, and executive stakeholders to share knowledge and promote AWS capabilities. Desired Experience and Expertise: We are looking for experienced consultants and builders who are passionate about: Industry & Architecture: Analyzing industry trends and developing enterprise-level architecture designs to align with customer business goals and vision. Business & Technical Strategy: Understanding and abstracting business processes and designing corresponding technical architectures. Advising customers on long-term IT strategies to facilitate their digital transformation journey. Solution Design & Best Practices: Designing comprehensive solutions based on customer requirements and promoting AWS best practices. Proficiently writing technical documentation to support solution implementation. About the Team: AWS values diverse experiences and encourages candidates from varied backgrounds to apply, even if all qualifications are not met. We believe that unique career paths and perspectives enhance the success of our teams and contribute to innovation. Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, offering a robust suite of products and services that empower customers, from startups to global enterprises. Inclusive Team Culture: AWS fosters curiosity and connection, with employee-led affinity groups that promote inclusion and encourage individuals to take pride in their uniqueness. Our inclusion events strengthen collaboration and inspire innovation. Mentorship & Career Growth: We are committed to raising the performance bar and supporting career advancement through continuous mentorship and knowledge-sharing. Work/Life Balance: We prioritize work-life harmony and flexibility, believing that success at work should never come at the expense of personal well-being. Basic Qualifications: 5+ years of experience in developing, negotiating, and executing business agreements. 5+ years of professional or military experience. A Bachelor s degree or equivalent. Proven experience in developing strategies that influence leadership decisions at an organizational level. Experience managing programs across cross-functional teams, building processes, and coordinating release schedules. Preferred Qualifications: Experience in interpreting data to drive business recommendations. Expertise in identifying, negotiating, and executing complex legal agreements. Qualification : Bachelor's degree

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: Compliance Location: Mumbai About Groww Mutual Fund Groww Mutual Fund, formerly Indiabulls Mutual Fund, offers a diverse range of mutual fund schemes tailored to meet the unique needs and financial goals of investors. Backed by Groww Invest-Tech Private Limited, we provide a mix of equity, debt, and hybrid funds. Our core values revolve around simplicity, transparency, and a relentless focus on long-term wealth creation. We seek out investment opportunities that combine robust growth potential with sound fundamentals, ensuring our investors financial goals are met with clarity and precision. Our Mission Our primary goal is to generate steady, long-term wealth for our investors. We are committed to identifying new opportunities and designing innovative schemes that help our investors capitalize on growth prospects, all while maintaining a strong focus on consistency and risk management. What We Stand For Simplicity & Transparency: We communicate with investors in a clear, jargon-free manner, ensuring 100% transparency in performance, strategy, and challenges. Consistent Wealth Creation: We prioritize sustainable wealth growth, carefully selecting assets that consistently deliver long-term returns. Customer-Centric Approach: Every decision we make is focused on the needs of our investors. From personalized products to ongoing support, we put our customers at the core of everything we do. Innovation: We re constantly evolving our offerings to meet diverse risk appetites, time horizons, and liquidity needs. Our team is driven by a spirit of passion, commitment, and innovation, and every member takes ownership in shaping the future of wealth management. If you're looking to join a dynamic environment that challenges the status quo, we d love for you to be part of our journey. Role Overview As a Compliance professional, you will be responsible for managing and overseeing compliance-related activities at Groww Mutual Fund. You will work closely with various departments to ensure adherence to SEBI, AMFI regulations, and internal policies, while ensuring that all reporting and surveillance systems are functioning seamlessly. Key Responsibilities Daily Compliance Operations: Manage day-to-day compliance activities, including ad-hoc reporting in line with SEBI and AMFI regulations. Policy Management: Review and prepare compliance-related policies and procedures for annual review. Audit Coordination: Coordinate with internal auditors to facilitate compliance audits. Regulatory Reporting: Ensure compliance with PMLA guidelines, including STR reporting. Surveillance System Review: Review alerts generated from surveillance systems and investigate as necessary. Tracker Maintenance: Maintain trackers for daily SEBI recovery orders and folio freezing orders, ensuring prompt and accurate action. PIT Compliance: Track and manage PIT (Prohibition of Insider Trading) approvals. Website Compliance Monitoring: Ensure compliance with regulatory requirements concerning website content. Marketing Material Compliance: Support the compliance review and clearance of marketing materials. Policy Tracker & Compliance Review: Maintain an up-to-date policy tracker and ensure all policies are in compliance. Committee and Board Support: Assist in preparing agendas and documentation for compliance-related committee and board meetings. Required Skills & Expertise Education: Bachelor's degree in Business Administration, Law, Finance, or a related field. Advanced degrees are a plus. Experience: Minimum 4 years of experience in compliance, regulatory affairs, or a related field. Knowledge: Strong understanding of SEBI, AMFI regulations, and PMLA guidelines. Analytical Skills: Strong attention to detail and excellent analytical thinking capabilities. Communication: Effective verbal and written communication skills, capable of conveying complex compliance concepts clearly. Technical Proficiency: Proficiency in Microsoft Office Suite and relevant compliance software tools. If you have a strong regulatory background, attention to detail, and a passion for maintaining high compliance standards, we invite you to apply and join a forward-thinking team that s making a real impact in India s wealth management industry. Qualification : Bachelor's degree in Business Administration, Law, Finance, or a related field

Senior Compliance Specialist Location: Mumbai Industry: IT Services Department: Accounts & Finance Experience: 4 5 years About the Role Vertoz is seeking a Senior Compliance Specialist with in-depth knowledge of both Indian and U.S. compliance frameworks. This role is crucial to ensuring that our organization adheres to all statutory regulations and best practices in our global operations. About Vertoz Vertoz (NSEI: VERTOZ) is a cutting-edge AI-powered MadTech & CloudTech platform offering solutions in Digital Advertising, Marketing, Monetization, Digital Identity, and Cloud Infrastructure. We serve a diverse clientele, including businesses, digital marketers, advertising agencies, cloud providers, and publishers. Key Responsibilities India Statutory Compliance Ensure timely filing and payment of GST, TDS, Income Tax, and ROC/MCA filings. Keep systems and records aligned with current Indian regulatory updates. Ensure compliance with Indian labor laws (PF, ESI, PT, Gratuity, Shops & Establishments Act, etc.). Liaise with government departments (EPFO, ESIC, GST, IT) during audits, assessments, and inspections. U.S. Statutory Compliance Ensure adherence to U.S. federal, state, and local employment and tax regulations. Handle statutory filings such as W-2, W-9, 1099, Social Security, and Medicare. Manage state tax ID registrations/renewals and unemployment insurance filings. Collaborate with U.S. accounting/legal teams for IRS and franchise tax filings. Support audits and compliance reviews at the federal and state levels. General Compliance Oversight Maintain a detailed compliance calendar to meet all filing deadlines. Support internal and external audits with proper documentation. Draft and implement compliance SOPs to improve internal controls. Stay up to date with legal and regulatory changes in India and the U.S. and recommend relevant updates. Maintain secure and organized records of all compliance documents. Required Qualifications Bachelor s or Master s degree in Commerce, Finance, or Accounting. Preferred: Inter CA, CMA, or specialization in International Taxation. 3 5 years of experience in Indian compliance (PF, ESI, TDS, GST, ROC, etc.). 1 2 years of experience in U.S. compliance (IRS filings, payroll taxes, W-2, 1099, etc.). Experience with audits, inspections, and statutory filings in India and the U.S. Prior exposure to multinational or shared services environments is a plus. Proficient in tools like Oracle, SAP, Tally, Zoho Books, and ADP. Familiarity with statutory portals such as MCA, GSTN, and IRS. Perks & Benefits No dress code Flexible working hours 5-day work week 24 annual paid leaves International work exposure Regular team celebrations & outings Qualification : Bachelors or Masters degree in Commerce, Finance, or Accounting

BFSI Enterprise Director Location: Mumbai, India As part of our rapidly expanding Enterprise business, we are looking for a BFSI Leader to scale the business in the India region. You will lead a team of professionals and be responsible for multiplying consumption, new customer acquisition, and developing the ecosystem. You will inherit a team of seasoned campaigners, passionate about building a data ecosystem in the India region, technically knowledgeable, and have a desire to help customers and partners succeed. You will report to the Head of Enterprise business, India Region. The Impact You Will Have: Scale a team of motivated Enterprise Account Executives to increase growth in the BFSI domain. Inspire a culture of teamwork, leading with value, and achieving desired customer outcomes. Develop trust-based relationships with customers and partners to ensure long-term success. Encourage learning and ongoing understanding of technical product details and our future product roadmap. Lead our BFSI Enterprise growth plans, ensure forecast accuracy, and drive a predictable, high-growth business. What We Look For: Desire to build a collaborative, inspired team culture. Alignment with our core values: customer obsession, teamwork, ownership, and data-driven decision making. 15+ years of experience building a high-growth sales team serving BFSI customers. Experience in the Big Data, Cloud, or SaaS Sales industry. A history of exceeding sales quotas in similar high-growth Enterprise software companies. Understanding of value selling and structured methodologies (e.g., MEDDPICC, Challenger, Command of Message). Knowledge of developing the partner ecosystem to help grow strategic enterprise territories. Success in implementing strategies for usage and booking-based sales revenue models. Enterprise BFSI experience coupled with Cloud Data & AI experience is highly desirable. About Databricks: Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

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

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

Description Job Requirements Job Title Associate Compliance Place of work - Mumbai Business Unit - Retail Banking Function Compliance Job Purpose: The role entails the responsibility to support Compliance Manager in ensuring bank's policies and procedures comply with regulatory and ethical standards. It includes evaluating all current and new compliance regulations, reviewing bank's processes, and leading training sessions. Roles & Responsibilities: Tracking, monitoring, validating and responding to ad-hoc RBI queries and data requests received from RBI by coordinating with internal stakeholders. Maintain daily, weekly and monthly MIS reports on status of ad-hoc queries and data requests received from RBI. Coordinate with internal & external auditors during audits and examinations, ensuring timely and accurate communication. Coordinate with RBI and Bank s Senior Management for data requirements, meetings, and responses to draft observations, etc., during the RBI inspection. Assist in the submission of RBS data and other regulatory requirements. Coordinate with Compliance Advisory team for review of ad-hoc submission and RBI Inspection related submissions. Monitoring timely submission of Regulatory requirements. Tracking, monitoring, validating and responding to the queries and data requests received from SLBC. Maintain MIS of Incognito Visit, RBI training, internal/external training for presenting in Board, ACB and other Management Committees Obtaining the required approvals/ clarifications from the Regulators. Maintaining the records of all Regulatory/ Statutory Communications in hard as well as soft copies. Educational Qualifications: Graduate - Any Experience: Minimum of 1 -3+ years in Compliance, Audit, Risk other Support functions

Position: Compliance Officer India Investment Advisory Compliance Team About the Role: The Compliance Officer will work closely with regional and global compliance counterparts to enhance and ensure a globally consistent Compliance framework for BlackRock s businesses in India. This role primarily supports the Private Markets strategy in India, providing compliance and regulatory coverage to an Indian AIF manager, and maintaining FPI regulations. We are looking for someone with strong regulatory and advisory compliance experience, preferably in asset management, a buy-side financial services firm, or a sell-side banking institution. Key Responsibilities: Regulatory Oversight: Be the main point of contact for SEBI regulations, particularly FPI and AIF regulations. Previous experience dealing with SEBI is preferred. Private Markets Strategy: Support the Private Markets strategy in India, including FPI and AIF-related initiatives. Compliance Policy and Procedures: Review and implement compliance policies and procedures. Advisory: Provide advice and guidance to business teams on: Compliance with local, regional, and global laws, regulations, best practices, and BlackRock s policies and procedures. BlackRock s fiduciary obligations and its commercial and business objectives. Collaboration: Work with Financial Crime, Legal, Risk & Quantitative Analysis, and other corporate functions to provide advice to investment teams. Global/Regional Initiatives: Participate in global/regional compliance initiatives to ensure global best practices and consistency. Information Barriers and Conflicts of Interest: Assist in maintaining the integrity of BlackRock s information barriers and conflicts of interest policy. Regulatory Monitoring: Monitor local and regional regulatory developments and evaluate their impact on the business. Stakeholder Liaison: Liaise with regional and global compliance and business colleagues on global initiatives. Development Value: This role offers significant importance due to its focus on India and Private Markets Investments. The candidate will gain exposure to global and regional initiatives, acquiring product knowledge and insights into cross-border legal and regulatory requirements. Knowledge/Experience: University degree in Law, Finance, Accounting, Business, or Economics (preferred). Strong understanding of the financial industry and financial products. Proficiency in Word, Excel, and PowerPoint. Understanding of financial industry regulations. Skills/Qualifications: Minimum of 7 years relevant working experience in investment or regulatory compliance in asset management, a buy-side financial services firm, or sell-side banking institution. Previous experience dealing with SEBI and knowledge of alternative investment regulations in India is preferred. Understanding of private market asset management compliance programs (e.g., controls around Insider Trading regulations and managing Conflicts of Interests). Knowledge of financial crimes such as AML and Anti-Bribery and Corruption in India. Proficiency in both written and spoken English. Strong attention to detail and organizational skills. Ability to interact and negotiate with key internal and external stakeholders. Excellent written/oral communication and interpersonal skills. Competencies: Ability to work with teams across different levels and geographies in a matrix-driven organization. Our Benefits: We offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off (FTO) to ensure you stay energized and balanced in life. Our Hybrid Work Model: BlackRock s hybrid work model encourages collaboration and flexibility, ensuring our employees' growth while maintaining a culture of performance and innovation. Employees work at least 4 days in the office, with the flexibility to work from home 1 day a week. About BlackRock: At BlackRock, our mission is to help people experience financial well-being. We strive to support businesses, strengthen the global economy, and finance projects that power cities and drive innovation. Our employees are key to our success, and we re dedicated to creating an inclusive environment where colleagues are supported with networks, benefits, and development opportunities. Qualification : University degree in Law/Finance/Accounting/Business/Economics preferred.

Company Overview Mondel z International is a leading global snacking company with iconic brands like Oreo, Cadbury, and Toblerone. The company s mission is to lead the future of snacking, creating delicious moments of joy for people around the world. As part of Mondel z's dynamic Digital Solutions team, this role will offer an exciting opportunity to drive innovation through AI, data, and analytics. Role Overview As a Data Scientist within the Mondelez Digital Solutions team, you will play a critical role in developing cutting-edge AI and GenAI solutions that will empower the US Sales & Planning teams. This role focuses on leveraging Analytical AI algorithms and Large Language Models (LLMs) to create actionable insights and transform commercial reporting processes. You'll work closely with multiple teams to implement these solutions and continuously improve the reporting and decision-making capabilities of the organization. How You Will Contribute 1. AI and GenAI Model Development Design, develop, and deploy Analytical AI models (e.g., linear regression, decision trees, boosted trees models) to gather insights related to customers, brands, categories, and products. Implement anomaly detection algorithms (e.g., isolation forest) to identify anomalies in commercial data and alert teams about significant changes. Utilize Large Language Models (LLMs) to summarize the current business state and explain trends in the data, supporting the commercial reporting team. 2. Data Preparation and Utilization Oversee the extraction, preparation, and utilization of large datasets for model training and validation, ensuring the data is clean, accurate, and relevant for AI model development. Continuously update and refine the AI/GenAI solution with new data sources and features to enhance business insights. 3. Collaboration and Implementation Work closely with cross-functional teams to ensure smooth deployment of AI and GenAI capabilities into the company s commercial reporting dashboards. Collaborate with stakeholders to ensure the tools meet business requirements and deliver high-quality insights. 4. Reporting and Documentation Regularly report on the achievements and challenges of the AI tools to senior management and relevant stakeholders. Maintain detailed documentation of AI models, GenAI solutions, logic, and performance metrics, ensuring the business can leverage insights effectively. 5. Continuous Improvement and Innovation Stay up to date with the latest trends in AI and GenAI and integrate new advancements into the reporting system to improve its efficiency and effectiveness. What You Will Bring 1. Required Skills & Experience Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or related fields. Strong analytical and critical thinking skills with the ability to translate complex data into actionable business strategies. Proficiency in handling large datasets using Python and SQL. Strong knowledge of data visualization tools such as Tableau and Power BI. Experience with cloud platforms (e.g., Google Cloud, Azure, Databricks) for deploying AI solutions. Experience with data preprocessing, cleaning, and ETL processes. Familiarity with Natural Language Processing (NLP) techniques. Knowledge of recent advancements and trends in GenAI and a passion for continuous learning in this field. 2. Additional Skills (Good to Have) Working knowledge of syndicated data (e.g., Nielsen/IRI or other retail sales data sources). Proficiency in using data containerization and orchestration tools for maintaining complex data workflows. Experience with programming languages like PySpark and R. Experience in leveraging Large Language Models (LLMs) to build GenAI solutions or proofs-of-concept. Experience with frameworks like Langchain for building language applications. Relocation and Support Within-country relocation support is available. For candidates voluntarily moving internationally, minimal support is offered through the Volunteer International Transfer Policy. Qualification : Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or a related field.