Model Deployment Jobs in Mumbai

VP Global Delivery Head Location: Mumbai Experience: 20 25 Years Function: Delivery Leadership | Enterprise Software | BFSI Join VuNet Powering the Future of Digital Financial Experiences At VuNet, we're building the next frontier of Business Journey Observability a deep-tech platform that uses Big Data and AI/ML to radically transform digital experiences for banks, financial services, and enterprises. We monitor 28+ billion monthly transactions, empowering 300+ million users. VuNet is Series B funded, recognized by Gartner, Forbes, NASSCOM, and scaling fast across India, MEA, and global markets. Your Role: VP Global Delivery Head We are seeking a seasoned, high-impact leader to spearhead the global delivery of our mission-critical observability platform, with a primary focus on BFSI clients. As the Global Delivery Head, you will own the end-to-end lifecycle of customer implementations from onboarding and integration to adoption and long-term success in high-SLA, regulated, and large-scale environments. You ll lead multidisciplinary teams across delivery, engineering, SRE, support, and customer success, ensuring strategic execution, operational excellence, and measurable value for our clients. Key Responsibilities 1. Strategic Delivery Leadership Define and execute the delivery roadmap aligned with product strategy and GTM plans. Drive customer expansion through successful implementations and measurable business outcomes. Enable platform adoption at scale across complex environments like core banking, payments, hybrid cloud, and microservices. 2. End-to-End Customer Delivery Own the full delivery lifecycle onboarding, implementation, optimization, support. Lead complex integrations with Kubernetes, cloud-native stacks, enterprise systems. Ensure high-SLA go-lives, on-time rollouts, and outcome-driven execution. Travel as needed (domestic/international) to lead critical engagements and build trusted partnerships. 3. Program & Team Management Lead and mentor cross-functional teams: Implementation Engineers, TPMs, SREs, Expert Services, Support. Implement playbooks, KPIs, delivery frameworks, and standard operating procedures. Oversee resource planning, forecasting, and operational governance across accounts. 4. Executive Stakeholder Management Act as a trusted advisor to CXO-level client stakeholders CIOs, Infra Heads, SRE Leads. Present business value through dashboards, metrics, traces, and ROI models. Own delivery health reporting to internal leadership and drive continuous improvements. 5. Delivery Excellence & Process Innovation Champion observability best practices (APM, tracing, log analytics, synthetic monitoring, etc.). Institutionalize automation, monitoring, and proactive incident management. Ensure regulatory and audit compliance for BFSI and PSU deployments. What You Bring Technical Acumen Deep understanding of observability platforms (Grafana, Prometheus, Datadog, Splunk, Dynatrace, etc.). Hands-on knowledge of cloud-native, DevOps, and SRE ecosystems (Kubernetes, CI/CD, AWS/Azure/GCP). Exposure to enterprise architecture, telemetry pipelines, and platform instrumentation. Leadership & Delivery Experience 20 25+ years in enterprise software delivery; 10+ years in BFSI with direct exposure to mission-critical programs (e.g., core banking, real-time payments). Proven success in high-pressure, complex, multi-stakeholder implementations. Familiarity with PSU banks, regulated environments, audit cycles, and compliance standards. Strong grounding in Agile, ITIL, and program management best practices. Soft Skills & Presence Exceptional communication, leadership presence, and stakeholder influence. Ability to navigate executive-level conversations and drive strategic outcomes. Sharp analytical mindset with a passion for structured delivery and high performance. Success Metrics (KPIs) Time-to-onboard and customer satisfaction (NPS/CSAT). Platform uptime and telemetry coverage. SLA adherence and incident resolution TAT. Observability adoption (dashboards, alerts, integrations). Delivery team productivity and retention. At VuNet, you ll be at the forefront of a Made-in-India global tech movement. We re creating a category-defining observability platform, with a bold mission and a passionate team behind it. What You ll Experience: Ownership from Day 1: Drive critical programs, influence strategy, and shape success. Cutting-Edge Innovation: Work on AI/ML, telemetry, and next-gen enterprise software. Collaborative Culture: Work with mission-driven colleagues in a transparent and growth-focused environment. Leadership Opportunity: Build and scale global delivery for a high-impact platform. Perks & Benefits Comprehensive health insurance (including parents & dependents). Mental wellness support and 1:1 counselling access. Gen AI-enabled tech and collaboration workspaces. Career development support, training programs, and leadership coaching. High-trust, inclusive, and empowering workplace culture.

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 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.

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

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

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

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

Overview of Technology roles At BlackRock, technology has always been at the core of what we do and today, our technologists continue to shape the future of the industry with their innovative work. We are not only curious but also collaborative and eager to embrace experimentation as a means to solve complex challenges. Here you ll find an environment that promotes working across teams, businesses, regions and specialties and a firm committed to supporting your growth as a technologist through curated learning opportunities, tech-specific career paths, and access to experts and leaders around the world. Back to nav Job description About this role At BlackRock, we are looking forSoftware Engineerswho like to innovate and solve complex problems. We recognize that strength comes from diversity, and will embrace unique skills, curiosity, drive, and passion while giving the opportunity to grow technically and as an individual. At BlackRock, we are all connected by one mission: to helpmore and morepeople experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; andfacilitate innovations that drive progress. Being a developer at BlackRock meansgetting the best of both worlds: working for one of the most advanced financial companies and being part of a software development team responsible for next generation technology and solutions. You will be working on BlackRock's investment operating system called Aladdin. Aladdin is used both internally within BlackRock and externally by many financial institutions. Aladdin combines sophisticated risk analytics with comprehensive portfolio management, trading, and operations tools on a single platform to power informed decision-making and create a connective tissue for thousands of users investing worldwide. Our development teams reside inside the Aladdin Engineering group. We collaboratively build the next generation of technology that changes the way information, people, and technology intersect for global investment firms. We build and package tools that manage trillions in assets and supports millions of financial instruments. We perform risk calculations and process millions of transactions for thousands of users every day worldwide! You are: Curious and eager to learn new things, with a healthy disrespect for the status quo Willing to embrace work outside of your comfort zone, and open to guidance from others; you make mistakes but learn from them Passionate about technology, with personal ownership for the work Data-focused, with an eye for the details that matter to solve the problem We are: We are Passionate about building quality software and scaling technology to meet the needs of tomorrow Building solutions for BlackRock and over 100 organizations who use our technology Developing high quality software in Java and Golang using technologies like Cassandra, Solr, Redis, Kafka, K8s, and many others Committed to open source and contributing back to the community Writing testable software every day, with a focus on incremental innovation You have: Minimum of 8+ years software engineering work experience on large scale software development and deployment. Computer Science degree (BS/MS) or equivalent experience obtained from an accredited university. Modern web application development using JavaScript, Typescript, HTML5, CSS3, SaaS, React, and Angular. Contribute to all phases of the development lifecycle, ensuring high performance and responsiveness of applications. Strong problem solving and coding skills. Using Shell environments including Zsh, Git bash, and Bash. Grafana,Prometheus andInflux database for telemetry. Familiarity with Azure DevOps is advantageous. Knowledge aboutAPI design, gRPC/Protobuf, Kafka, Hashicorp Vault, Azure Pipelines, Docker and Kubernetes. Some level of knowledge would be nice to have on Okta and OAuth 2.0. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment the one we make in our employees. It s why we re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. Qualification : Computer Science degree (BS/MS) or equivalent experience obtai...

Job description About this role About this Role At the heart of BlackRock, the largest investment management firm in the world, is the Aladdin Product team. Being a member of Aladdin Product means working with the industry s thought leaders to build innovative and forward-looking products that shape the financial markets. We build next-generation technology that changes the way global investment firms manage their investments. Sitting at the intersection of business and technology, Product Managers work closely with Aladdin developers and other stakeholders to innovate, conceptualize, design and pilot new capabilities to simplify our clients biggest problems. As a Product Manager passionate about Aladdin Accounting, you will be responsible for leading, managing, and executing on our product vision. About Aladdin & Aladdin Accounting Aladdin is our operating platform to manage financial portfolios. It unites client data, operators, and technology needed to manage transactions in real time through every step of the investment process. Aladdin exists so that every financial professional can understand investment decisions and act with clarity. Aladdin combines sophisticated risk analytics with comprehensive portfolio management, trading, and operations tools on a single platform to power informed decision-making. Aladdin Accounting extends the scope of Aladdin, providing our clients a single, front-to-back investment platform with comprehensive investment accounting. The platform builds a connective tissue for thousands of users investing worldwide. Key Responsibilities: Define best practices for investment accounting processing Communicate accounting concepts to internal and external (client) stakeholders Work closely with Aladdin Accounting and product build teams to efficiently build workflows Analyze and research accounting data, working with partner teams to mitigate client challenges Explain accounting calculations to internal and external stakeholders Configure and establish system elections, client ledgers, and accounting elections Lead with a data driven mindset that tracks and measures usage and metrics to advise product strategy and deployment strategy Be a market structure expert - stay attuned and be ahead of industry, market, and technology trends to build opportunities for BlackRock and better serve our clients Desired Qualifications: 3-7 years of work experience in the financial services industry, Chartered Accountant (CA) is a plus Full professional proficiency in written/spoken English Experience with a variety of accounting standards (e.g., IFRS, US GAAP, Local GAAPs) as they pertain to investment accounting Experience using OMS / Accounting systems and/or successful track record in technology implementations of investment software Experience with accounting processes including reconciliation, ledger/trial balances, income analysis, accounting elections or accountinginterfaces/reporting. Deep understanding of asset classes (Securities, Alternatives, Mortgage Loans, or Derivatives) Well-organized with the ability to prioritize with a hands-on approach, ability to schedule and manage tasks effectively, conflict resolution, problem solving, risk management Familiarity with product and software development lifecycles is a plus Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment the one we make in our employees. It s why we re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

Job Title: Tech Delivery Subject Matter Expert Project Role: Tech Delivery Subject Matter Expert Location: Mumbai Experience: Minimum 7.5 years in SAP for Retail Education: 15 years of full-time education Job Summary: We are looking for an experienced Tech Delivery Subject Matter Expert specializing in SAP for Retail to drive innovation, optimize business processes, and enhance Accenture s marketplace reputation. In this role, you will act as a trusted advisor, working directly with clients to analyze, design, and implement technology best practices that align with business objectives. Key Responsibilities: Serve as an SAP Retail expert, delivering innovative solutions to meet client needs. Collaborate with cross-functional teams to identify business requirements and translate them into SAP Retail functional specifications. Analyze and document business processes, identifying areas for improvement and recommending solutions to optimize operations. Design, configure, test, and deploy SAP Retail solutions to enhance business performance. Provide end-user training and support, ensuring seamless adoption of SAP Retail solutions. Stay updated with the latest trends in SAP Retail and integrate innovative strategies for competitive advantage. Work closely with stakeholders to assess business models and their integration with technology. Skills & Qualifications: Must-Have: Expertise in SAP for Retail. Strong understanding of business processes, systems, and process optimization. Experience in designing and implementing SAP Retail solutions (configuration, testing, and deployment). Excellent communication and stakeholder management skills. Ability to deliver data-driven solutions that optimize business operations. Good-to-Have: Knowledge of SAP MM, SD, and FICO modules. Experience in process mapping and optimization. Additional Information: The candidate must have a minimum of 7.5 years of experience in SAP for Retail. A strong educational background in business, technology, or a related field is preferred. This role is based in Mumbai and requires a proactive approach to driving technology and business transformation. If you are passionate about SAP for Retail and have the expertise to drive innovation in business processes, we invite you to apply and become part of Accenture s high-performing team!

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

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.

The Market Logistics Specialist is accountable for market logistics activities in market in support of the market logistics vision. They contribute as technical/functional expert providing guidance and support to both colleagues within GSC and stakeholders, internal and (under manager guidance as needed) external. Requires strong understanding of the principles of the discipline and applies these skills and departmental knowledge to achieve assigned work . Begins to apply experimentation and use of new ideas guided by the IMEx eco-system in response to operational issues, opportunities, and / or customer feedback. Contributes to completion of moderately complex projects as project team member. Makes decisions to resolve moderately complex problems with short term impact within work team. Works under general supervision using own judgment where needed. Exercises own judgment leveraging knowledge and experience. Works independently on standard work and with instruction on complex problems. Identifies existing process/capability improvements and raises these referencing the IMEx eco-system framework. They may share or develop innovative, advanced new concepts that improve the department s work processes and capability solutions. Decisions primarily impact own team & department short-term to midterm KPI s and goals. Dock to Stock Responsible for management of customs clearance, processing of incoming and outgoing shipments; prepares product for shipping; maintains records; checks invoices and bills of lading. Responsible for compliance with customs laws and regulations. Oversee the accurate processing of free trade agreements and pursue maximum financial returns whilst navigating local and global limitations. In collaboration with Customs Broker, Logistics Service Provider (LSP), Market Planning Hub, and/or Global Logistics & Network Services (GL&NS); plan, schedule, and route inbound and outbound domestic and international shipments of freight, using knowledge of regulations, customs, tariffs, and company policy. Ensure appropriate use of transport units including trucks, vans, planes, ships, and/or trains to transport finished, and/or semi-finished goods on public or private infrastructure between various locations. Initiates and organizes the movement of product between Pfizer locations for routine deployment (replenishment model) or exception-based Market-To-Market transfers. Collects and receives information that can be used to provide supply insight to stakeholders in Market, in support of our Pfizer purpose and market logistics vision. Manage recovery activities related to stock damages and insurable losses. Partners with Pfizer functions and external partners to drive continuous improvement of logistic operations and customer experience through the IMEx framework. Store & Protect Responsible for storage and protection of finished and semi-finished goods. Collaborate with Customer Supply Chain, Market Planning Hub, Global Logistics & Network Services, and Supply Chain Quality, ensuring first time right inbound supply processing to maximize product availability for the patients we serve. Responsible for safeguarding all inventory including, but not limited to, segregation of duty, material destruction, audits, inventory count & reconciliation, and authority to store and distribute. Responsible to process inventory write-offs in a country regulator and Pfizer compliant way. Monitor material destruction, and actively improve processes to avoid damage, leakage, and obsolescence write-offs. Ensure market inventory expired or short dated is appropriately, securely, compliantly, and expeditiously disposed of on a physical and financial level. Partner with Pfizer functions and external partners to drive continuous improvement of logistic operations and Pfizer s customer experience through the IMEx framework. Ensure optimal inventory to meet financial performance targets considering agreed distributor inventory requirements and revenue operating plans. Coordinate market redressing/relabeling activities. Accountable for the timely inventory removal of approved material destruction requests adhering to local regulations, practices, and Pfizer policy. Last Mile Coordinates the delivery of customer orders, ships, and delivers product to first paying customer locations. Coordinate material movements between dock, warehouse and first paying customer locations. Collaborates with sales, marketing, customer service/trade, customer supply chain, supply chain quality, market planning hub, purchasing, warehouse, and forwarder personnel to ensure appropriate scheduling, procurement, and movement of product. Ensure appropriate use of transport units including trucks, vans, planes, ships, and/or trains to transport finished, and/or semi-finished goods on public or private infrastructure between various locations. Act as Pfizer representative toward the first-paying customer collecting and handling complaints, continuous improvement, and relationship in our quest to deliver industry leading customer experience. Partner with Pfizer functions and external partners to drive continuous improvement of logistic operations and customer experience through the IMEx framework. Sales & Operations Planning Support Customer Supply Chain with information and insights that allows delivery of an effective and valued Sales & Operations Planning cycle. Support as needed the Market Sales & Inventory Planning with MPH, Commercial & Finance to ensure the short-term management of the product life cycle and the balancing of demand and supply. Asset Management Responsible for optimizing all electronic assets (SAP ECC, WMS, IBP, UDH, 3PL interfaces, Supply IQ and others) through master and transactional data management. Responsible for Business Process Management (BPM) applying the IMEx CI Loop, conduct Gemba s to ensure fresh and capable processes to manage activities for self and others. Responsible for Data Management ensuring mas...

Automation Engineer (RPA) Experience: 3+ Years Location: Mumbai Employment: Full-Time About Fynd Fynd is India s leading omnichannel platform and a tech pioneer in retail technology, AI, ML, big data, and image editing. We empower over 2,300 brands by providing a unified platform that seamlessly connects online and offline sales, store operations, inventory management, and customer engagement transforming retail experiences across industries. Role Overview We are looking for a skilled Automation Engineer / Implementation Engineer with strong expertise in RPA (UiPath preferred) to design, develop, and deploy workflow automation solutions. The ideal candidate will also leverage AI/ML to optimize processes, working closely with business and IT teams to identify automation opportunities and deliver innovative, efficient solutions that drive operational excellence. Key Responsibilities Collaborate with stakeholders to analyze and document business processes. Identify automation opportunities and integrate AI/ML enhancements where applicable. Design, develop, and maintain RPA workflows using UiPath and similar platforms. Test, debug, and deploy automation and AI/ML solutions ensuring reliability. Integrate automated workflows with existing systems and analytics tools. Provide ongoing support and improvements based on feedback and performance monitoring. Stay updated on RPA, AI, and ML trends, recommending best practices for continuous improvement. Qualifications & Skills Bachelor s degree in Computer Science, IT, Engineering, or related fields. 3+ years of experience in automation engineering or process automation roles. Proficient with RPA tools such as UiPath, Automation Anywhere, etc. Strong programming skills in VB.NET, C#, Python, or similar languages. Familiarity with AI/ML concepts and experience integrating AI/ML into automation workflows. Excellent analytical, problem-solving, and communication skills. Understanding of software development lifecycle and agile methodologies. Experience in system integration is a plus. Preferred RPA certifications. Experience or certifications in AI/ML projects. Background in implementation or consulting roles handling end-to-end automation projects. Growth: Opportunities to learn, innovate, and lead as we expand into new markets and product lines. Flex University: Access to in-house courses and reimbursement for external upskilling programs. Culture: Regular community and team-building events, plus annual celebrations. Wellness: Comprehensive mediclaim covering family, plus access to mental health support for work-life balance. We work from our Mumbai office 5 days a week to foster collaboration and teamwork. Join us to make a real impact in a dynamic, innovative environment! Qualification : Bachelors degree in Computer Science, IT, Engineering, or related fields

Manager IT Projects & Development Location: Mumbai Experience Required: 10 15 Years Employment Type: Permanent Functional Area: IT Project Management Role Summary: We are seeking an experienced and proactive Manager IT Projects & Development to lead and manage end-to-end IT projects across departments. This role involves establishing a Project Management Office (PMO), ensuring timely delivery of high-quality software solutions, managing resources efficiently, and maintaining alignment with organizational goals, budgets, and timelines. The ideal candidate will have a strong understanding of project management methodologies, software development life cycle (SDLC), and techno-functional coordination. Key Responsibilities: Establish and manage a Project Management Office (PMO) to oversee multiple concurrent IT projects Collaborate with stakeholders, including internal teams, vendors, and end-users, to define and document project requirements Initiate projects with well-defined objectives, timelines, budgets, and resource allocations Implement standardized document control policies and templates across all projects Maintain up-to-date knowledge of component projects and ensure alignment with organizational priorities Evaluate standards and performance of deliverables to ensure consistency and quality Monitor and manage project progress, making adjustments as necessary to ensure on-time delivery Track project budgets and ensure all expenditures are within approved limits Ensure compliance with internal policies, standard operating procedures (SOPs), PMO guidelines, and industry best practices Compile detailed project reports and communicate progress, issues, and risks to senior management Support user documentation and assist with final product testing and deployment Foster collaboration, accountability, and effective communication across all levels of the organization Desired Candidate Profile: 10 15 years of experience in IT project management, with a proven track record of delivering complex projects Strong understanding of project management principles and methodologies (e.g., Agile, Waterfall, PMP/Prince2 certified preferred) In-depth knowledge of the software development life cycle (SDLC) Strong techno-functional expertise, capable of bridging technical and business requirements Excellent leadership, organizational, and time management skills Exceptional communication and stakeholder management abilities Demonstrated ability to manage multiple projects and cross-functional teams Strong problem-solving mindset with attention to detail

Position: Software Test Engineer Location: Mumbai, India About LRN: At LRN, we help over 2,500 organizations including some of the world s most recognized brands navigate complex regulatory environments and build ethical, responsible, and inclusive workplace cultures. As a leading SaaS-based eLearning provider with a global presence across the US, EMEA, APAC, and Latin America, we empower companies to turn their values into measurable business practices that drive performance. About the Role: We re looking for a skilled and motivated Software Test Engineer to join our team. In this role, you will be responsible for designing, executing, and maintaining test plans for custom-developed applications, with a strong focus on automation testing. You will work independently and collaboratively in an Agile environment to ensure our software meets the highest quality standards. Key Responsibilities: Design and execute functional, system, integration, regression, and performance tests Develop and maintain automated test scripts using Selenium (mandatory), Protractor, and Postman Participate in planning, requirement analysis, and test strategy discussions with cross-functional teams Prepare test estimates, schedules, and documentation (test cases, test plans, QA checklists) Collaborate closely with developers and project managers to ensure alignment and quality goals Identify, log, track, and validate defects; perform root cause analysis Own end-to-end quality for assigned applications, proactively resolving testing issues Promote continuous improvement by identifying gaps and implementing automation where possible Provide timely updates and escalations on project status, risks, and blockers Requirements: Bachelor s degree with 4 5 years of software testing experience Minimum 2+ years in automation testing Strong knowledge of SDLC, STLC, and Agile methodologies Hands-on experience with Selenium (mandatory); familiarity with Protractor and Postman Working knowledge of at least one programming language (e.g., Java, Python, or Perl) Experience with SQL and relational databases Excellent written and verbal communication skills Ability to work independently in high-pressure, fast-paced environments Experience in LMS/eLearning domains is a plus Preferred Skills: Deep understanding of web applications and data flow Strong test planning and estimation skills Working knowledge of HTML5 Experience creating reusable automation frameworks Why Join LRN: Be part of a mission-driven company with global impact Collaborate with talented teams building ethical cultures worldwide Grow your career in a fast-paced, values-led SaaS environment LRN is an equal opportunity employer. We value diversity and are committed to fostering an inclusive workplace for all employees. Qualification : Bachelors degree with 45 years of software testing experience

Position: Full Stack Developer Location: Mumbai, India About LRN: LRN provides ethics and compliance e-learning solutions to over 2,500 companies across US, EMEA, APAC, and LatAm, helping them navigate complex regulatory environments and build ethical, responsible, and inclusive cultures. Partnering with LRN, organizations translate their values into concrete actions, training, and leadership behaviors that create sustainable competitive advantages. Your Responsibilities: Build and maintain web applications using the Single Page Application (SPA) paradigm Develop secure, performant software solutions in a web and Service-Oriented Architecture (SOA) environment Write clean, well-structured, and maintainable code following best practices Participate in full Software Development Life Cycle (SDLC) from requirements to solution design, development, and QA Provide accurate estimates and timelines for assigned tasks Follow coding standards and develop unit tests, integration tests, and deployment scripts Assist in defining software architectures and collaborate with leads to identify risks and complexities Communicate regularly with project teams on development progress Own the success of your deliverables and take responsibility for on-time delivery Suggest improvements to UI, software architecture, and new technologies for continual enhancement Requirements: Minimum 6 years of experience with JavaScript, Angular 2+ and Node.js Experience working in distributed Agile teams with continuous integration Proficient in Test Driven Development (TDD) techniques Strong hands-on experience building APIs Solid understanding of web technologies, frameworks, and industry trends Experience with databases such as MongoDB and PostgreSQL Familiarity with Git version control system Good understanding of Object-Oriented Programming (OOP) principles AWS knowledge is a plus Benefits: LRN is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.