Job Title: AI/ML Company: Infosys Job Category: Machine Learning Roles & Responsibilities: Python, SQL, Data Structures \& Algorithms Machine Learning, Deep Learning, TensorFlow, PyTorch, Scikit\-Learn Generative AI, LLMs, LangChain, RAG, Prompt Engineering AWS/Azure/GCP, Docker, Kubernetes, MLOps, CI/CD NLP, Vector Databases (FAISS/Pinecone/ChromaDB), Pandas, NumPy, API Development Design, develop, train, test, and deploy Machine Learning models for business use cases. Build and optimize predictive, classification, recommendation, and forecasting models. Develop and implement NLP, LLM, and Generative AI solutions. Perform data collection, cleaning, feature engineering, and exploratory data analysis. Fine\-tune and optimize pre\-trained models for domain\-specific applications. Develop APIs and microservices to expose AI/ML models. Implement MLOps practices for model deployment, monitoring, versioning, and retraining. Work with large datasets and distributed processing frameworks. Collaborate with cross\-functional teams to understand business requirements and translate them into AI solutions. Monitor model performance, accuracy, and drift in production environments. Create technical documentation and best practices for AI/ML implementations. Work Location: Bengaluru East, Karnataka, India Availability: Full time

Job Title: Forward Deployed Data Scientist Company: SAP Job Category: Machine Learning Roles & Responsibilities: Job Description What you'll bring You have hands\-on experience in data science, machine learning, and applied AI in enterprise environments. What You'll Build You'll develop and deploy data science and AI solutions within customer\-embedded delivery teams. * Translate business challenges into data\-driven solutions — exploring data, engineering features, and developing models for classification, forecasting, anomaly detection, and recommendation scenarios. * Design, train, evaluate, and optimize ML models and statistical solutions for enterprise use cases of moderate complexity. * Develop generative AI components using LLMs, RAG pipelines, embeddings, vector databases, and agentic AI frameworks. * Define evaluation metrics, validate model performance, monitor deployed solutions, and implement improvements to accuracy and reliability. * Collaborate with AI Engineers, Data Engineers, Product Managers, and UX teams to deliver components and communicate technical findings to customer stakeholders. About SAP With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Principal Machine Learning Engineer Company: Zscaler Job Category: Machine Learning Roles & Responsibilities: Role We are looking for a Principal Machine Learning Engineer to join our team. This is a hybrid role based in Bangalore, reporting to the Director, Software Development Engineering in the Exposure Management \& Security Operations department In this role, you will be responsible for leading the development and implementation of advanced machine learning models, mentoring junior team members, and driving strategic AI and data science initiatives. You will have a deep understanding of various stages of an end\-to\-end Machine Learning project and will be capable of translating business problems into data\-driven solutions What You’ll Do (Role Expectations) * Architect, implement, and evaluate advanced machine learning models and innovative technical solutions directly aligned with strategic business objectives * Guide and support data science team members through hands\-on project direction, technical best practices, and structured professional development * Partner with cross\-functional teams to define project roadmaps and translate complex technical concepts into actionable insights that drive data\-informed decision\-making * Champion organization\-wide strategic initiatives, proactively identifying high\-impact opportunities for process optimization and technological innovation * Monitor emerging advancements in machine learning and data science, translating state\-of\-the\-art research into practical, high\-value applications Who You Are (Success Profile) * You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful * You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high\-level strategy and hands\-on execution * You are a problem\-solver. You love running towards the challenges because you are laser\-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact * You are a high\-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust * You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy\-related support. Work Location: Bengaluru East, Karnataka, India Availability: Full time

Job Title: AI Senior Developer Company: MRI Software Job Category: Machine Learning Roles & Responsibilities: AI Developer/Sr Developer (5\+ Years Experience) Role Overview As an experienced AI Developer and Team Lead, you will design, develop, and deploy AI/ML models across natural language processing (NLP), computer vision, and structured data. You will also architect AI services on Azure, integrate with MRI's global platform, and mentor junior AI engineers. Key Responsibilities * Design and build LLM\-based applications and Retrieval\-Augmented Generation (RAG) systems. * Develop and deploy traditional ML models (classification, regression, clustering) for property and financial data analytics. * Implement multi\-modal AI solutions combining text, vision, and tabular data. * Architect Azure\-based AI services using Kubernetes (AKS), serverless APIs, and MLOps best practices. * Lead AI experiments in Vision AI (OCR, layout analysis, document intelligence). * Mentor junior AI developers and participate in technical reviews. * Contribute to AI R\&D for internal patents and innovations. * Collaborate with product, engineering, and cloud teams globally. About MRI Software \& AI At MRI MRI\-Software is a global leader in Prop Tech, delivering AI\-powered solutions that transform Real estate operations, decision\-making, and tenant experiences. As part of our AI\-first strategy, our AI team develops advanced solutions including LLMs, Vision AI, machine learning models, and Agentic AI workflows. At MRI, one of our core values is to strive to amaze.* From the intelligent solutions we create to the culture we cultivate, that’s our goal every day. Because that’s what industry leaders do. Whether you’re joining as a new Pride member or rejoining us after a short time away, your talent is vital to us, our partners and our clients. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Forward-Deployed AI Engineer Company: Bottomline Job Category: Machine Learning Roles & Responsibilities: The Role We're looking for an Forward\-Deployed AI Engineer (FDE) who can take a business problem and solve it natively in Snowflake — from feature engineering through model training to deployment as a live service. This is not a platform\-building role. You won't be designing schemas or managing pipelines. You'll be the person who turns business questions into working AI solutions that run in production. What You Will Do * Take business problems (e.g. churn risk, propensity to buy, anomaly detection, document intelligence) and design AI solutions using Snowflake\-native capabilities * Build and evaluate ML models using Snowflake ML Functions, Snowpark ML, and Cortex AI * Design and implement Cortex Agents that combine structured data queries with unstructured document intelligence * Create evaluation frameworks (golden datasets, LLM\-as\-judge, human review loops) to prove solutions meet success metrics * Work with Cortex Analyst semantic views to enable natural language access to business data * Build Cortex Search services over unstructured documents (contracts, support tickets, product docs etc.) * Collaborate with AI and Data Engineers who handles platform infrastructure, you focus on the science, they handle the plumbing * Present findings and recommendations to business stakeholders in plain language * Contribute to the AI project lifecycle: framing problems, running spikes, evaluating results, and iterating Why This Role Is Different * AI\-native, not AI\-assisted: You will build solutions where the AI IS the product, not a feature bolted onto something else * No ML infrastructure tax: Everything runs natively in Snowflake — no Docker, no Kubernetes, no model serving endpoints to manage * You will have business impact from day one: with a prioritised backlog of Quick Win candidates waiting for someone to build them * Direct line to stakeholders: No layers of middle management between you and the business problem. * Modern AI engineering practices: Lifecycle\-governed (Framing \> Spikes \> Build \> Evaluate \> Governance \> Adoption), evaluation\-driven, with a real governance plane Work Location: Greater Bengaluru Area Availability: Full time

Job Title: Software Engineer Company: Lowe's Home Improvement Job Category: Machine Learning Roles & Responsibilities: JOB DESCRIPTION Innovate in Bengaluru Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India Lowe’s Demand Forecasting team, commonly known through its Lowe’s Internal Forecast Tool (LIFT), develops and operates data\-driven forecasting capabilities that improve demand\-planning accuracy and reduce manual intervention. The team applies time\-series analysis and AI/ML models to support supply\-chain efficiency, inventory optimization, and fulfillment decisions. Its forecasts span weekly item\-location demand across Lowe’s stores, store\-level sales for labor planning, new\-store sales estimates, truck arrivals, and transportation shipment volumes. The team’s work is central to inventory ordering, allocation, replenishment, and exception management. By incorporating trends, seasonality, and market intelligence, it creates demand and sales forecasts that support planning partners across supply chain, merchandising, inventory fulfillment, and transportation. The primary purpose of this role is to design, build, and operate scalable software and machine learning solutions that enable Data \& AI\-driven products. The role combines strong software engineering fundamentals with ML/MLOps, data engineering, cloud\-native development, and AI\-enabled engineering practices. The engineer will contribute across the full Software Development Lifecycle (SDLC), from solution design and development through testing, deployment, production support, and continuous improvement. Key responsibilities include building robust data and feature pipelines, productionizing and scaling ML models, optimizing model training and inference, and implementing model monitoring and lifecycle management. Key Responsibilities * Design, develop, test, deploy, and support scalable, secure, and maintainable software and ML solutions, including backend services, APIs, cloud\-native applications, data integrations, and ML\-enabled services supporting Forecasting and AI products. * Translate business and functional requirements into technical designs and high\-quality implementations, contributing across the full Software Development Lifecycle (SDLC). * Build and maintain data ingestion, transformation, preprocessing, feature engineering, and post\-processing pipelines to support ML model training, experimentation, and inference. * Partner with Data Scientists and Data Engineers to translate model requirements into production\-ready engineering solutions and ensure high\-quality, reliable data is available for model development and execution. * Support the end\-to\-end ML lifecycle, including experimentation, model registration and versioning, testing, deployment, orchestration, inference, and ongoing model management using enterprise AI/ML platforms. * Develop and maintain CI/CD and automation pipelines for software, data pipelines, and ML models to enable reliable and repeatable testing and deployments. * Implement monitoring and observability for applications, data pipelines, and ML models, including system health, data quality, model performance and drift, and operational metrics. * Optimize software, ML workloads, and data pipelines for performance, scalability, reliability, and cost efficiency across cloud and enterprise platforms. * Apply engineering best practices including secure coding, code reviews, automated testing, documentation, performance optimization, data governance, security, and compliance. * Support production systems through monitoring, incident resolution, root\-cause analysis, troubleshooting, and continuous reliability improvements. * Collaborate with Product, Data Science, Data Engineering, Architecture, Security, Infrastructure, and business teams to deliver reliable Forecasting and AI capabilities that support business decision\-making. * Participate in technical design discussions and code reviews, contribute to engineering standards, share knowledge with team members, and evaluate modern technologies, AI\-enabled development tools, and automation to continuously improve software quality and engineering productivity. * 0-1 years of experience writing technical documentation in a software environment and developing and implementing business systems within an organization * Apache Airflow, Cloud Composer * GCP cloud experience, Big Query * Trino/Presto * Experience working on Data Quality/Integrity theme, Tools like Great Expectations. * Domain experience on retail forecasting or any other business forecast predictions/time series forecasting. Work Location: Karnataka, India Availability: Full time

Job Title: Applied Scientist Company: Amazon Job Category: Machine Learning Roles & Responsibilities: Description Help millions of authors around the world get their books published, discovered, and supported. As one of the first scientists on our new team in Bengaluru, you'll help turn ideas into models authors rely on every day, building agentic solutions with large language models (LLMs), multimodal models, and fine\-tuning. Key job responsibilities * Build the multi\-agent system behind KDP's author support assistant: orchestration across specialized agents and tools, personalization, and the evaluation that drives its continuous improvement. * Build multimodal models of book attributes, and use them for similar\-book search across languages, catalog quality, and category and keyword recommendations. * Post\-train open models on KDP expertise (for example with supervised fine\-tuning and reinforcement learning), and deploy them where they beat general\-purpose models on accuracy, cost, or speed. * Work closely with our scientists in the US and with engineering partners to take your work to production, design rigorous offline and online experiments, and write clear readouts with recommendations. About The Team Kindle Direct Publishing (KDP) lets anyone publish a book. We are the science organization for Amazon's Books business, now building our science teams in Bengaluru. Our team works in three connected areas: a support assistant that answers authors' questions from their own account data, in every language KDP supports; multimodal models that use book attributes to keep the catalog trustworthy and help authors reach the right readers; and fine\-tuned models that power the assistant and catalog models with KDP expertise. We serve authors, from first\-time writers to full\-time publishers. You will work closely with engineering, product, and policy partners. We value safety before speed and shared foundations over one\-off fixes. Scientists here get dedicated time for innovation, which can lead to patents and conference papers. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: AI/ML Engineer (Data Engineering + AI Focus) Company: A.P. Moller - Maersk Job Category: Machine Learning Roles & Responsibilities: A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. In this role as an AI/ML Engineer within the Global Data \& Analytics (GDA) team, you will build and scale data\-intensive AI/ML solutions that power intelligent decision\-making across Maersk’s supply chain ecosystem. This role combines strong data engineering foundations with applied AI/ML expertise, enabling the development of robust data pipelines, scalable ML systems, and production\-grade AI applications. Key Responsibilities: * Partner with business, product, and engineering teams to define scalable data and AI/ML solutions aligned with measurable business outcomes. * Design, build, and maintain robust data pipelines and data platforms using Python, Spark/PySpark, and cloud\-native services. * Develop and deploy end\-to\-end AI/ML solutions, including data ingestion, feature engineering, model training, evaluation, and production deployment. * Architect and optimize large\-scale data processing systems on cloud platforms (Azure/AWS), ensuring performance, reliability, and cost efficiency. * Implement and manage MLOps and DataOps practices, including CI/CD pipelines, model versioning, monitoring, and automated retraining. * Work with LLMs and Generative AI systems, integrating them into production workflows using frameworks such as LangChain, LlamaIndex, or similar. * Design and maintain data models (batch and streaming) that support analytics, reporting, and AI use cases. * Ensure data quality, governance, and observability across pipelines and ML systems. * Optimize infrastructure and workloads for cost, scalability, and performance, including efficient use of compute and storage. * Collaborate with engineering teams to deploy solutions using containerization and orchestration (Docker, Kubernetes). * Mentor junior engineers and contribute to engineering excellence through code reviews and best practices. * 7\+ years of experience across Data Engineering and AI/ML engineering in production environments. * Strong programming skills in Python and SQL, with hands\-on expertise in Spark/PySpark for large\-scale data processing. * Deep experience with cloud platforms (Azure or AWS), including services for data engineering, ML, and distributed systems (e.g., Databricks, Synapse, EMR, S3, ADF, etc.). * Hands\-on experience in building and deploying scalable data pipelines and ML systems. * Strong understanding of data modeling (data lakes, lakehouse, warehouse, medallion architecture). * Experience with MLOps frameworks (e.g., MLflow) and production model lifecycle management. * Practical experience with LLMs / Generative AI applications, including RAG, document processing, or workflow automation. * Experience with containerization (Docker) and orchestration (Kubernetes). * Strong understanding of system design, scalability, and cost optimization in cloud environments. * Experience with data quality, observability, and monitoring frameworks. * Ability to translate business problems into scalable technical solutions with measurable impact. * Prior experience in logistics, supply chain, or operations is a plus. * Experience in simulation, optimization, or operations research is an added advantage. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com. CORE SKILLS Programming: Writing code to manipulate, analyze, and visualize data, often using languages like Python, R, and SQL. Proficiency Level: Proficient AI \& Machine Learning: Creating systems that can perform tasks that typically require human intelligence. Using Machine learning (ML), a subset of AI that uses algorithms to learn from and make predictions based on data Proficiency Level: Proficient Data Analysis: Inspecting, cleansing, transforming, and modeling data to discover useful information, draw conclusions, and support decision\-making Proficiency Level: Foundational Machine Learning Pipelines: Using automated workflows that manage the end\-to\-end process of training and deploying machine learning models. Proficiency Level: Proficient Model Deployment: Making a trained machine learning model available for use in production environments. Proficiency Level: Proficient SPECIALIZED SKILLS Big Data Technologies: Using continuous integration and continuous delivery (CI/CD) pipelines to automate the process of software development, including building, testing, and deploying code Natural Language Processing (NLP): Focusing on the interaction between computers and humans through natural language. Data Architecture: Designing and structuring of data systems, ensuring that data is stored, managed, and utilized efficiently Data Processing Frameworks: Using tools and libraries to process large data sets efficiently, such as Apache Hadoop and Apache Spark. Technical Documentation: Creating and maintaining documentation that explains the functionality, use, and maintenance of software or systems. Deep Learning: Using a subset of machine learning involving neural networks with many layers, used to model complex patterns in data. Statistical Analysis: Collecting and analyzing data to identify patterns and trends, and to make informed decisions. Data Engineering: Designing and building systems for collecting, storing, and analyzing data at scale. Definition of Proficiency Levels: Foundational: This is the entry level of the skill, typically expected when starting a new role or working with the skill for the first time. You rely on strong manager support, coaching, and training as you build the capability to progress to higher proficiency levels. Proficient: This is the level at which you are considered effective in the skill. You demonstrate more than just functional competence—you begin to have a noticeable impact in your role by applying the skill consistently and meaningfully. You require only minimal support, coaching, or training to apply the skill successfully. Advanced: This is the level where you move beyond meeting expectations to actively leading, influencing, and delivering considerable impact across the wider business. You are seen as a role model, demonstrate the skill independently, and require little to no manager support. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Data and Applied Scientist -(AIREE) ARC - AI Research to Capability Company: SAP Job Category: Machine Learning Roles & Responsibilities: The Role * Design, build, and deploy scalable machine learning services and APIs on SAP Business * Technology Platform (BTP) and other cloud platforms. * Productionize experiments and PoCs — taking research prototypes from the ARC team to * production\-ready state with high availability, performance, and reliability. * Build and maintain reusable AI engineering foundations: agent harnesses, SDKs, MCP * servers and tools, and common components that other teams can adopt. * Operationalize evaluation tooling and observability at scale, so teams know whether their AI * is ready before release and stays healthy after it ships. * Develop and maintain CI/CD pipelines, infrastructure\-as\-code, and MLOps workflows to * streamline model deployment, versioning, and monitoring. * Collaborate with data and applied scientists to productionize models, optimize inference * performance, and integrate capabilities seamlessly into enterprise applications. * Build robust, secure, and compliant cloud\-native applications, leveraging containerization * (Docker, Kubernetes) and serverless architectures. * Contribute to architectural decisions for ML and AI platforms, balancing scalability, cost,and developer experience. * Stay current with advances in MLOps, cloud engineering, Generative AI, and agentic * systems — and bring what works back into the team's foundations. Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end\-to\-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose\-driven and future\-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Requisition ID: 451384 \| Work Area: Software\-Design and Development \| Expected Travel: 0 \- 10% \| Career Status: Professional \| Employment Type: Regular Full Time \| Additional Locations: Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Senior Data Scientist Company: LSEG Job Category: Machine Learning Roles & Responsibilities: The Emerging Tech Standard Delivery Team drives the adoption of advanced technologies and develops enterprise‑ready solutions for D\&A Operations. In this role, the individual partners with Operations and Technology teams to design data‑driven solutions that deliver clear business and customer value. Role, Responsibilities \& Key Accountabilities: * Own the product vision for an industry‑leading data management framework, covering data acquisition, cleaning, transformation, and related workflows. * Support Lead Data Scientist on end\-to\-end AI/ML lifecycle: problem definition, design, experimentation, deployment, and continuous improvement. * Define an optimized user experience for financial analytics data pipelines, unifying multiple tools and services into an integrated workflow. * Partner with analytics domain experts to understand business data needs and translate them into a practical platform and framework strategy. * Lead the execution of this strategy in close collaboration with engineering and project delivery teams. * Communicate product goals, progress, and achievements to product, engineering, business leaders, sales, proposition, support, and other internal stakeholders. * Stay informed on financial analytics market trends to maintain a forward‑looking, future‑ready strategy. * Continuously learn and adapt to emerging technologies and techniques in financial analytics. * Develop and deploy production‑grade AI models and data‑driven solutions aligned with strategic objectives. * Tune and optimize AI models to improve accuracy, performance, and scalability. * Evaluate third‑party AI capabilities using both functional and non‑functional criteria. * Establish and enforce coding standards to ensure a maintainable, robust codebase. * Collaborate with Software Engineers and cross‑functional teams to define requirements, set direction, and shape development roadmaps. * Hands‑on experience in data science, including Natural Language Processing, Large Language Models, prompt engineering, and Retrieval‑Augmented Generation (RAG). * Skilled in training, testing, and validating deep learning models as well as classical machine learning models. * Ability to design and implement evaluation frameworks for automation solutions based on business requirements. * Experience building solutions and onboarding workloads on AWS or other cloud platforms. * Expertise in web crawling and scraping techniques, entity identification and extraction, and advanced pre‑ and post‑processing methods using emerging technologies such as prompt engineering. * Proficient in processing structured, semi‑structured, and unstructured data from PDFs and scanned documents. Required Skills: * 0-1 years of experience in data science, analytics, or statistical modelling roles. * Strong foundation in data analytics, feature engineering, NLP, predictive modelling, LLMs, and RAG workflows. * Expertise in Python and core ML/DL libraries (TensorFlow, PyTorch, Scikit‑learn), with demonstrated experience in developing and productionizing AI models. * Proven ability to apply strong statistical analysis skills, including probability and applied statistics, to model development and evaluation. * Experience with Git‑based version control and CI/CD pipelines (GitLab/GitHub runners). * Strong understanding of relational databases, large‑scale data processing, and statistical programming. * Familiarity with MLOps principles and experience deploying solutions on cloud platforms (AWS and/or Azure). * Hands‑on experience with commercial or open‑source data management tools. * Excellent communication and presentation skills, capable of simplifying complex technical concepts for both technical and business audiences. * Strong influencing and collaboration skills, supporting cross‑team execution and alignment. * Ability to diagnose and resolve complex technical and business problems using deep analytical and industry knowledge * Ability to set and uphold coding standards. * Hands\-on experience with leading commercial or open\-source data management tools. * Excellent written, verbal, and presentation skills, with the ability to present to peers, senior management, and cross\-functional partners. * Broad business awareness and understanding of relevant internal business relationships. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice. Work Location: Bengaluru, Karnataka, India Availability: Full time