Data Privacy Jobs in Mumbai

CHESS/ESG Data Analyst Location: Mumbai Employment Type: Full-time Reporting To: Global Head of ESG Reporting & CHESS Systems Role Summary The CHESS/ESG Data Analyst is responsible for managing, validating, and supporting ESG and CHESS data across all operating companies. This role ensures data integrity, supports assurance readiness, and drives digital optimization for ESG reporting, acting as the operational link between site teams and Group Sustainability. Key Responsibilities 1. Data Collection and Validation Coordinate and track ESG/CHESS data submissions from operating companies. Validate inputs for accuracy and compliance with Group data standards. Manage version control and evidence logs to ensure auditability. Resolve data gaps and anomalies by following up with specific sites and functions. 2. System Management and Analytics Provide user administration and troubleshooting support for Intelex. Develop automated dashboards and visualizations using Qlik Sense or Power BI. Contribute to system enhancements and the integration of internal data solutions. Support automation pilots and reporting enhancements to drive digital maturity. 3. Assurance and Compliance Support queries from external auditors with precise data extracts and documentation. Maintain organized, traceable evidence files for key ESG metrics. Coordinate the completion and validation of external ESG questionnaires. 4. Stakeholder Engagement Build collaborative relationships with divisional CHESS leads and functional teams. Serve as the primary point of contact for operational data queries and user assistance. Support training sessions to improve data ownership across the organization. Qualifications & Experience Experience: 3 6 years in data coordination, ESG reporting, or management systems. Technical Skills: Experience using Intelex is required; knowledge of Qlik Sense or Power BI is highly desirable. Core Competencies: Strong attention to detail, documentation discipline, and the ability to manage global deadlines. Role Impact Ensures traceable data to support global reporting and assurance. Strengthens the operational foundation of sustainability data systems. Improves process efficiency through system optimization.

Position: Data Analyst Collections Location: Mumbai Qualification: Graduate Experience: 3 to 6 years Job Description: We are looking for a Data Analyst Collections to join our team. This role involves analyzing and interpreting data from multiple sources to provide actionable insights and support decision-making. You will be responsible for reporting, system management, process improvement, and collaborating cross-functionally to drive performance improvements. Key Responsibilities: Data Analysis & Reporting: Collect and analyze data from various sources to identify trends, patterns, and key insights. Prepare daily, weekly, and monthly operational reports as well as client-specific reports. Design and manage interactive dashboards to track key performance indicators (KPIs) and provide insights for management decision-making. System Management: Oversee the daily operation and maintenance of information systems, ensuring smooth and secure data handling. Ensure the accuracy, security, and integrity of all databases. Provide support for troubleshooting and resolving any system-related issues. Process Improvement & Automation: Identify and implement opportunities to enhance reporting processes and system efficiency. Automate repetitive tasks and processes using advanced Excel functions (VBA, Macros), SQL, and BI tools such as Power BI or Tableau. Strategic & Cross-Functional Support: Collaborate with various departments to understand data requirements and deliver customized reports. Monitor compliance with Service Level Agreements (SLAs), internal controls, and regulatory standards. Provide technical support to enhance decision-making and business performance across teams. Key Qualifications & Skills: Technical Expertise: Advanced proficiency in MS Excel (functions, VBA/Macros), SQL, Tableau, Power BI, and database management systems. Analytical Skills: Strong ability to process large datasets, identify trends, and derive actionable insights. Regulatory Knowledge: Familiarity with debt collection laws, compliance requirements, and reporting standards (preferred for roles related to collection or finance MIS). Communication Skills: Ability to clearly present data insights to both technical and non-technical stakeholders. Qualification : Graduate

Job Title: Junior Data Center Engineer Location: Mumbai Experience: 1-5 Years Job Summary: We are looking for two enthusiastic and technically adept Junior Data Center Engineers to support the day-to-day operations at our Mumbai data center. Under the guidance of a Senior System Administrator, the ideal candidates will assist in hardware installations, monitoring, troubleshooting, and maintaining both physical and virtual infrastructure. Key Responsibilities: Hardware Installation & Maintenance: Assist in the installation and maintenance of servers, network devices, and racks. Environment Monitoring: Monitor key data center environmental factors such as temperature, humidity, and power to ensure optimal conditions. Troubleshooting: Perform basic troubleshooting of hardware and network issues, escalating more complex problems as needed. Remote Hands Support: Provide support for remote hands requests and coordinate with internal teams for resolutions. Inventory Management: Maintain accurate inventory of IT assets and ensure proper documentation for all equipment. Patching & Cabling: Assist in the patching, cabling, and labeling of equipment for organization and efficiency. Incident Handling: Follow SOPs for incident handling, escalation, and reporting to ensure smooth operations. Security & Compliance: Ensure compliance with physical security and access protocols for the data center. Scheduled Maintenance & Upgrades: Participate in scheduled maintenance and upgrades of data center infrastructure. Technical Skills: Operating Systems: Basic understanding of Windows and Linux operating systems. Networking: Familiarity with networking concepts such as IP, DNS, DHCP. Virtualization: Exposure to virtualization platforms like VMware and Nutanix (preferred). Data Center Operations: Knowledge of data center hardware components and operations. Monitoring & Ticketing Tools: Experience working with monitoring tools and ticketing systems. Hardware Handling: Comfort with hardware handling, cabling, and labeling. Soft Skills: Communication: Good communication and interpersonal skills to effectively collaborate with internal teams and vendors. Willingness to Learn: Eagerness to learn and adapt to new technologies in the data center environment. Attention to Detail: Strong attention to detail with a focus on documentation and operational accuracy. Adaptability: Ability to work in shifts and handle pressure in a fast-paced environment. Team Player: Proactive and collaborative attitude to contribute effectively to team success. Preferred Qualifications: Education: Diploma or Bachelor s degree in Computer Science, IT, or a related field. Certifications: Certifications such as CCNA, CompTIA A+, or equivalent (preferred but not required). Dynamic Environment: Be part of a fast-paced and innovative data center team, supporting critical infrastructure operations. Learning Opportunities: Gain hands-on experience in both physical and virtual environments with exposure to cutting-edge technologies. Growth Potential: Opportunity to expand your skill set and grow within a rapidly evolving field. Qualification : Diploma or Bachelors degree in Computer Science, IT, or a related field

Job Title: Manager Compliance Location: Mumbai Experience: 1 3 Years Position Overview: We are seeking a highly motivated and detail-oriented Compliance Manager to join our team in Mumbai. This role will be responsible for ensuring full compliance with FEMA, RBI, and other regulatory guidelines, while proactively managing risk and maintaining robust internal controls. The ideal candidate will have a strong understanding of foreign exchange regulations, compliance frameworks, and risk assessment processes. Key Responsibilities: Ensure compliance with FEMA, RBI, and other applicable regulatory requirements for all foreign exchange operations Conduct risk assessments for foreign exchange products and transactions, identifying and mitigating potential compliance risks Implement and manage risk management frameworks, policies, and internal controls Oversee AML (Anti-Money Laundering) and KYC (Know Your Customer) compliance, including customer risk assessments and due diligence Prepare and submit timely and accurate regulatory reports to relevant authorities Monitor and update internal policies to remain compliant with evolving regulations and industry standards Serve as a point of contact for compliance-related queries from internal stakeholders, providing expert guidance Coordinate with regulatory bodies and auditors during inspections, reviews, and compliance audits Key Requirements / Skills: In-depth knowledge of FEMA, RBI guidelines, and foreign exchange regulations Experience in compliance, risk management, regulatory reporting, and data security Strong analytical and problem-solving skills with a keen eye for regulatory detail Ability to interpret complex regulatory requirements and design/implement necessary compliance controls Excellent communication and stakeholder management skills Proven ability to work independently and collaboratively across departments Preferred Qualifications: Degree in Finance, Law, Compliance, or a related field Prior experience in banking, NBFCs, forex, or financial services industry Qualification : Degree in Finance, Law, Compliance, or a related field

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

Job Title: Deputy Manager IT Governance Location: Mumbai Experience: 6 10 Years Employment Type: Full-Time Education: Graduate in any discipline Designation: Deputy Manager Position Summary We are looking for a highly skilled and experienced Deputy Manager IT Governance to lead and support IT governance, risk management, and compliance initiatives. The ideal candidate will have a solid foundation in IT audit, risk lifecycle management, compliance frameworks (e.g., PCI-DSS, COBIT, NIST, GDPR), and demonstrated experience in aligning IT strategy with organizational goals. Key Responsibilities Governance, Risk & Compliance (GRC) Oversee risk assessments, remediation, monitoring, and governance activities across IT processes. Implement and manage risk mitigation plans and ensure periodic reviews of entitlement and access. Maintain risk registers and risk heat maps; track closure of identified risks within set timelines. Collaborate with cross-functional teams (IT, Legal, HR, Admin, etc.) to ensure strong internal controls. Conduct and support internal and external IT audits, including those required by CAG and under Companies Act 2013. IT Governance Framework Implementation Assist in deploying IT governance frameworks such as COBIT and ITIL to define roles, accountability, and decision-making across IT. Develop, maintain, and communicate IT policies, ensuring alignment with business objectives and compliance requirements. Contribute to lifecycle management of IT policies and procedures creation, approval, communication, and revision. Strategic Planning & Performance Management Align IT initiatives and investments with business strategy and measurable objectives. Track key IT performance indicators (KPIs) and drive value through IT performance and service delivery. Identify opportunities for continuous improvement in IT governance and operations. Compliance & Regulatory Alignment Ensure compliance with internal policies and external regulations such as GDPR, RBI, SEBI guidelines, and PCI-DSS. Provide support during regulatory audits and ensure timely closure of compliance gaps. Work on financial, HR, corporate governance, and administrative audits to ensure holistic risk coverage. Stakeholder Management & Communication Liaise with business units and senior management to communicate IT governance priorities and risks. Prepare governance meeting materials, track action items, and ensure alignment across business and IT functions. Educate internal stakeholders on risk awareness, compliance best practices, and IT governance principles. Required Experience & Skills Experience: 6+ years of experience in IT, including 3+ years in IT Governance, Risk Management, Compliance, or IT Audit. Preferred exposure to both public sector and private enterprise audits. Technical Knowledge: Deep understanding of frameworks such as COBIT, ITIL, NIST, PCI-DSS, ISO27001, SOX. Familiarity with application security, data privacy, identity & access management, and information security domains. Knowledge of GDPR, IT regulatory compliance, and internal controls. Skills: Strong communication and presentation abilities with the capability to influence stakeholders across all levels. Analytical, structured thinking with experience in MIS reporting, governance documentation, and RCA preparation. Familiarity with security incident response and entitlement management. Ability to manage cross-functional projects and drive change. Desirable Certifications (Preferred but not Mandatory) CISA, CISM, CRISC, CGEIT, ITIL, ISO 27001 Lead Auditor/Implementer, PMP Play a pivotal role in shaping IT governance and compliance frameworks. Contribute to strategic business planning by aligning IT with enterprise risk goals. Gain exposure to regulatory and statutory audit processes, including CAG and Companies Act compliance. Qualification : Graduate in any discipline

Job Title: Executive CRM MIS Location: Mumbai Experience: 2 3 Years Role Overview: We are seeking a detail-oriented CRM MIS Executive to manage and analyze CRM data, generate insightful MIS reports, and support the CRM team in driving data-backed decision-making. The role is critical in maintaining accurate customer data and providing timely reports that enhance customer relationship strategies and sales performance. Key Responsibilities: Manage and maintain the CRM database to ensure data accuracy, completeness, and timely updates. Generate regular and ad hoc MIS reports on customer interactions, sales metrics, and CRM campaign performance. Analyze CRM data to identify trends, customer behavior patterns, and opportunities for business growth. Collaborate with the CRM team and other departments to support data-driven strategies and improve customer engagement. Assist in troubleshooting and resolving CRM system issues in coordination with IT and software vendors. Ensure compliance with data privacy and security standards while handling customer information. Continuously improve reporting templates and processes for efficiency and clarity. Qualifications & Skills: Bachelor s degree in Business Administration, Marketing, IT, or a related field. 2 3 years of experience working with CRM systems and MIS reporting, preferably in real estate or related industries. Proficiency in CRM software (e.g., Salesforce, Zoho CRM) and MS Excel (advanced level). Strong analytical skills with the ability to interpret data and generate actionable insights. Excellent attention to detail and organizational skills. Good communication and teamwork abilities. Basic understanding of data privacy regulations and best practices. Qualification : Bachelors degree in Business Administration, Marketing, IT, or a related field

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.

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: Senior Manager Data Analytics Department: PDM Strategy & International Business Base Location: Mumbai Reporting To: Head Strategy & Analytics / Senior Leadership Team Experience Required: 10 12 Years (Relevant experience in BI, data analytics, and team management) Qualification: Bachelor's or Master s Degree in Computer Science, Data Engineering, or related field Role Overview: The Senior Manager Data Analytics will lead end-to-end Business Intelligence (BI) initiatives, with a focus on building a robust and scalable reporting platform using Power BI and the MSBI stack. The role requires deep expertise in data visualization, team leadership, ETL development, and data architecture design. This position plays a key strategic role in transforming how data is used across the organization empowering faster, data-driven decisions across functions like Sales, Investments, Risk, Compliance, and HR. Key Responsibilities: 1. BI Project Delivery & Visualization Lead and ensure timely execution of BI and data analytics projects. Deliver actionable, real-time dashboards and reports for internal business teams. Transform existing Power BI platform into a world-class analytics and visualization hub. Create dashboards that are intuitive, engaging, and built for decision support. 2. Stakeholder Engagement & Strategy Alignment Collaborate with senior leadership and functional heads to understand business problems and convert them into analytical models and reporting tools. Serve as a thought partner and SME for business users across the SBIFM landscape. Present visualizations and insights to senior stakeholders to influence strategy. 3. Team Management Lead, mentor, and manage a team of 15 20 developers and analysts focused on MSBI and Power BI. Oversee day-to-day development tasks, performance reviews, and upskilling initiatives. Foster a data-driven culture and best practices in dashboard design and reporting. 4. Data Architecture & Engineering Design and optimize backend architecture for scalability and agility using ETL tools and data warehousing techniques. Ensure strong data governance, security, and quality standards across reporting systems. Implement real-time data pipelines and integration with cloud technologies such as Azure and Snowflake (desirable). 5. Cross-Functional Collaboration Work closely with multiple departments: Sales, Operations, Finance, Compliance, Risk, and HR. Drive continuous improvement in data access, quality, and utility for all functions. Create and maintain a centralized reporting infrastructure aligned with enterprise data strategy. 6. Business Impact & Decision Support Enable smarter and faster decision-making by delivering meaningful insights. Drive revenue growth and deal conversions through better business intelligence. Support predictive analytics, customer segmentation, and performance dashboards. Mandatory Technical Skills: MSBI Stack (SSIS, SSRS, SSAS) Power BI Advanced Dashboarding and Visualization ETL Development Tools Experience with report automation, KPI frameworks, and interactive dashboards Desirable Technical Skills: SQL Programming & Data Modeling Cloud Data Platforms: Azure, Databricks, Snowflake Familiarity with data lake concepts, CI/CD pipelines, and DevOps for data analytics Key Competencies: Leadership & Team Building Strong ability to manage cross-functional data teams Business Acumen Ability to understand and align data solutions to business strategy Communication Strong presentation and stakeholder management skills Analytical Thinking Problem-solving mindset with attention to data accuracy Project Management Ability to handle multiple projects in an agile environment Job Summary: The Senior Manager Data Analytics is a strategic leadership role focused on building and managing a robust data reporting ecosystem within SBIFM. This role blends technical expertise with business intelligence to deliver impactful analytics, drive operational efficiency, and support senior leadership in data-driven decision-making. A critical enabler of growth and innovation, this position is ideal for a high-performing individual who thrives at the intersection of technology, data, and business. Qualification : Bachelor's or Masters Degree in Computer Science, Data Engineering, or related field

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

Position: Data Analyst Location: Mumbai, India Division: Data & Analytics / Marketing About the Role As a Data Analyst within the Blenheim Chalcot portfolio and Oakbrook, you will be crucial in driving data-driven insights for our consumer lending business. You will analyze marketing performance across direct and third-party aggregator channels, helping optimize spend and strategy. Your work will involve building and maintaining dashboards (SQL, Power BI), monitoring campaign and product performance, and ensuring channel efficiency. Key Responsibilities Campaign & Channel Performance Analysis Track and analyze marketing campaigns (paid search, social, email, display, aggregators). Measure key conversion metrics: impressions → clicks → applications → approvals → disbursals. Identify underperforming campaigns/channels and recommend improvements. Aggregator Performance Monitoring Monitor lead volume, quality, and conversion rates from aggregators (e.g., Clear Score, Compare the Market). Benchmark aggregator ROI and provide actionable insights for partner management. Product Performance Tracking Analyze application, approval, and disbursal trends by product type. Segment performance by demographics, channel, and credit risk tiers (prime, near-prime, non-prime). Identify opportunities for product/pricing optimization. Dashboard Development & Reporting Design and maintain interactive dashboards using SQL and Power BI. Ensure data accuracy and real-time performance tracking. Present weekly/monthly reports and insights to marketing, finance, and product teams. Customer Journey & Funnel Analysis Analyze drop-off points in the customer journey. Collaborate with CRO and UX teams to improve application flows. Support A/B testing with data analysis. Marketing Data Governance Ensure campaign tagging and data standards across platforms (GA, CRM, ad networks). Collaborate with data engineering on data quality and pipeline improvements. About You Technical Skills: Advanced SQL skills (complex queries, joins, CTEs) on relational databases (Snowflake, Big Query, Redshift). Proficient in Power BI (dashboard design, KPI visualization, DAX calculations). Strong Excel/Google Sheets skills (pivot tables, VLOOKUP/XLOOKUP, array formulas). Data cleaning and preparation expertise; familiarity with Alteryx or Python/Pandas is a plus. Understanding of UTM tracking, campaign attribution models, and analytics platforms (Google Analytics, Adobe Analytics). Experience with A/B testing and statistical analysis. Familiarity with CRM and marketing platforms (Google Ads, Meta, email/SMS tools). Awareness of GDPR and data governance best practices. Non-Technical Skills: Commercial awareness in lending context (customer acquisition cost, ROI, bad debt rates). Ability to translate data insights for non-technical stakeholders (marketing, finance, compliance). Strong attention to detail and problem-solving mindset. Excellent time management balancing regular reporting and ad-hoc analysis. Curious and proactive in identifying trends and opportunities. Collaborative working style across marketing, product, risk, and data teams. About Blenheim Chalcot & Oakbrook Blenheim Chalcot is a world-leading digital venture builder with over 26 years of experience creating disruptive businesses in FinTech, EdTech, GovTech, and more. Our India team plays a vital role in our success, fostering innovation and entrepreneurship since 2014. Oakbrook, a fast-scaling FinTech venture in our portfolio, leverages advanced analytics and technology to provide personalized consumer lending solutions. We aim to simplify borrowing with fair, data-driven credit access tailored to individual customers. Join the world s leading digital venture builder. Work with a diverse, talented team in a culture of continuous learning and innovation. Opportunity to work on Gen AI-enabled cutting-edge solutions. A fun, open, and cricket-enthusiast environment (home of Rajasthan Royals IPL team!). 24 days annual leave + 10 public holidays. Private medical insurance for you and your family & life insurance coverage. Our Commitment We value diversity and inclusion, fostering a culture where everyone s skills and talents can thrive. We recruit, develop, and promote based on merit and competence, driven by curiosity and collaboration. Join us to make an impact in a data-driven, fast-paced environment.

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.

Data Scraping Specialist 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 in all major liquid asset classes. We are a data and technology-driven firm applying a scientific and collaborative approach to investing. By integrating data science, engineering, and quantitative research, we solve complex financial challenges and deliver robust investment strategies. Role Overview As a Data Scraping Specialist, your primary objective will be to design, develop, and maintain scalable web scraping systems to support QRT s quantitative research and trading efforts. You will be responsible for managing a diverse range of data sources and working closely with researchers and traders to ensure seamless data availability and integration. Key Responsibilities Web Scraping Development: Build and maintain robust, scalable web scraping tools to extract structured and unstructured data from diverse online sources. Data Integration: Contribute to integrating internal and third-party datasets into QRT s research and trading platforms. Monitoring & Maintenance: Monitor data pipelines, ensure data health, and address failures or inconsistencies in data ingestion workflows. User Support: Collaborate with quantitative researchers and traders to understand their data requirements and provide customized data solutions. Best Practices: Apply software engineering best practices, including code quality, version control, and modular design, to scraping systems. Requirements & Qualifications Experience: 4+ years of hands-on experience in developing and maintaining web scraping frameworks. Proven ability to handle complex scraping projects at scale. Technical Skills: Strong Python proficiency is essential. Experience with scraping tools and libraries (e.g., Scrapy, Selenium, BeautifulSoup, Puppeteer). Familiarity with headless browser automation and CAPTCHA-solving techniques. Working knowledge of RESTful APIs and data pipelines. Soft Skills: Strong communication skills in English, both verbal and written. Ability to work independently and collaboratively across global teams. Demonstrated intellectual curiosity and willingness to learn new technologies. Bonus Points: Experience handling structured and unstructured data at scale. Knowledge of financial market data, including equities or derivatives. Familiarity with version control (e.g., Git), Docker, and cloud infrastructure. What QRT Offers An opportunity to work at the intersection of technology, data, and finance in a high-impact role. A collaborative and innovation-driven environment where your ideas are valued. Professional growth with access to new technologies and research applications. Competitive compensation and benefits tailored to attract top-tier talent. Work-life balance initiatives and a commitment to diversity and inclusion.

Job Title: Associate Customer Experience Location: Mumbai, India Department: Customer Operations Industry: FinTech Employment Type: Full-Time About the Role: We are hiring a Customer Experience Associate to join our dynamic FinTech venture, Salary Finance, part of the Blenheim Chalcot portfolio. In this role, you will be responsible for delivering world-class customer support via email and live chat, ensuring exceptional service and operational efficiency. You will also collaborate with teams in London and India, contributing to building GenAI-enabled, next-gen digital solutions that make a real impact on people s lives. Key Responsibilities: Respond promptly and professionally to customer queries via live chat and email, providing accurate and empathetic support. Resolve queries related to loan applications, payments, and account updates while maintaining high customer satisfaction. Clearly explain policies, product features, and service terms to customers. Log and maintain detailed records of all customer interactions in the CRM system. Escalate unresolved or complex issues to the appropriate departments, ensuring timely follow-ups. Troubleshoot basic tech issues (e.g., login errors, upload failures) and report bugs to the tech team. Adhere to GDPR and data privacy regulations while handling customer information. Meet or exceed SLAs and quality benchmarks. Identify recurring issues and share insights with the product and operations teams to enhance service efficiency. Update and contribute to the internal knowledge base and customer FAQs. Actively promote a positive brand image and foster customer retention. Share best practices and contribute to team training initiatives. Stay current with product updates and compliance standards through regular training. Qualifications & Skills: 1 3 years of experience in a customer support or client servicing role (preferred, but not mandatory for exceptional candidates). Strong written and verbal communication skills in English. Familiarity with CRM tools and support platforms (e.g., Zendesk, Freshdesk). Knowledge of FinTech, loan processing, or financial services is a plus. Proactive problem-solving ability with strong attention to detail. Adaptable and comfortable working in a fast-paced, dynamic environment. Stakeholder management experience is a strong plus. About Salary Finance: Salary Finance is a purpose-led FinTech organization that empowers employees to improve their financial health through affordable loans, earned wage access, savings tools, and financial education. Our mission is to help millions of people reduce financial stress and live happier, more productive lives. About Blenheim Chalcot: Blenheim Chalcot (BC) is the UK s leading digital venture builder. For over 26 years, we ve built, scaled, and invested in disruptive businesses across FinTech, EdTech, HealthTech, GovTech, and beyond. Our India operations, headquartered in Mumbai, serve as a vital engine for innovation and delivery, enabling the global success of our ventures. What You ll Get: Be part of the world s leading digital venture builder. Opportunity to work with cutting-edge GenAI technologies and international teams. Learning and development opportunities through real-world challenges. Inclusive and open culture we celebrate diversity, merit, and innovation. 24 annual leave days + 10 public holidays. Private medical insurance (for you and your immediate family). Life insurance coverage. Fun, flexible, and cricket-loving workplace we own the Rajasthan Royals IPL team! If you're passionate about delivering excellent customer service and want to grow in a collaborative, purpose-led organization, apply now to join us at the forefront of FinTech innovation.

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!