Job Title: Data Scientist Company: SAP Job Category: Machine Learning Roles & Responsibilities: This is an early\-career role for engineers and scientists who are sharp, curious, and ready to do real work on hard problems from day one. * Support the design and maintenance of enterprise ontologies and semantic models that give AI agents accurate, grounded understanding of SAP and connected business landscapes — learning how data from SAP, Salesforce, Workday, ServiceNow, MES/IoT systems, and external providers gets harmonized into unified semantic layers. * Contribute to AI capabilities including RAG pipelines, embeddings, vector databases, and enterprise knowledge grounding that make SAP's agents accurate and reliable in production. * Develop and iterate on AI solutions — including generative AI and LLM\-based approaches — using enterprise business data, knowledge graphs, business process intelligence, and structured and unstructured data assets. * Learn SAP's deep data and process context — data models, metadata structures, and business process semantics across Order\-to\-Cash, Procure\-to\-Pay, Record\-to\-Report, and Plan\-to\-Produce — and apply that context to ground AI solutions in real enterprise reality. * Work with modern cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP, gaining hands\-on experience with scalable AI workflows. * Collaborate across product, engineering, and business teams to understand how ambiguous business challenges get translated into concrete AI solutions, and contribute meaningfully to that process from early stages through deployment. * Apply machine learning, deep learning, and statistical modeling to build and evaluate AI solutions using real\-world enterprise datasets. Where you belong Join SAP SuccessFactors at a pivotal point in the evolution of enterprise AI, where we are moving beyond traditional applications and analytics toward intelligent, autonomous agents that can understand HCM context, reason over trusted business data, and help customers make better workforce decisions. As part of the SuccessFactors Line\-of\-Business, you will work at the intersection of HCM domain expertise, enterprise data, applied AI, and agentic technologies—helping shape how employees, managers, HR leaders, and businesses interact with SAP through intelligent experiences. You will collaborate with product, engineering, data, and research teams to ground autonomous agents in SuccessFactors business processes, semantics, policies, and data, while building solutions that are accurate, responsible, secure, and scalable. This is an opportunity to work on high\-impact problems across the employee lifecycle, from recruiting and talent to workforce planning, analytics, and people intelligence, and to play a foundational role in defining the next generation of AI\-powered HCM at SAP. 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: 459679 \| 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: AI/ML Engineer (5+ Years) | Remote | 15 days to Immediate Joiners Only Company: YMinds.AI Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities * Design, develop, and deploy machine learning and AI models for business applications. * Build Generative AI applications using LLMs and RAG architectures . * Develop and optimize data pipelines, model training workflows, and inference systems. * Analyze large datasets to identify patterns, generate insights, and improve model performance. * Implement predictive models, classification algorithms, and deep learning solutions. * Integrate AI/ML models and GenAI applications into production systems. * Evaluate model performance and improve accuracy, scalability, and reliability. * Implement model monitoring, testing, and maintenance processes. * Collaborate with data engineering and software teams to deliver scalable AI solutions. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: STAFF, DATA SCIENTIST Company: Walmart Global Tech India Job Category: Machine Learning Roles & Responsibilities: About Team The Corporate Technology Services data science team at Walmart Global Tech leverages advanced machine learning, agentic AI, and optimization methodologies to address complex business challenges. The team conducts comprehensive data analyses, develops predictive models, and implements machine learning algorithms, while also creating intelligent AI agents that support autonomous, data\-driven decision\-making. Collaborating closely with engineering teams, we design and execute scalable machine learning pipelines, agentic workflows, and resilient reference architectures on large\-scale data platforms to deliver production\-grade solutions. As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Each time an associate turns on their laptop, a customer makes a purchase, a new supplier is onboarded, the company closes the books, physical and legal risk is avoided, and when we pay our associates consistently and accurately, that is CTS. Joining CTS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart. What you will do Design , develop and deploy AI\-enabled products to build solutions in Fintech domain Play a key role to solve complex problems, pivotal to Walmart's business and drive actionable insights Promote and support company policies, procedures, mission, values, and standards of ethics and integrity Strong stakeholder\-management skills, with the ability to work closely with both technical and non\-technical partners. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people\-led and tech\-empowered. Walmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our \[Bangalore/Chennai] office for daily work, with the flexibility for associates to manage their personal lives. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Junior AI Engineer – Applied AI (Non-Clinical) Company: Teleradiology Solutions (TRS) Job Category: Machine Learning Roles & Responsibilities: Teleradiology Solutions (TRS), founded in 2002 by two Yale\-trained physicians and headquartered in Ardmore, PA, provides 24x7 diagnostic radiology reporting to over 150 hospitals across 21 countries, through a network of radiologists (US, Indian certified) and technology\-driven workflows. Daignostix, the AI arm of TRS based in Whitefield, Bengaluru, builds clinical AI for medical imaging and healthcare workflows. TRS also maintains an active academic and research focus, including AI in radiology (www.radguru.net). Role Summary As a Junior AI Engineer – Applied AI (Non\-Clinical), you will build and ship operational ML algorithms and AI\-enabled mobile features end to end under the guidance of senior engineers, using AI\-assisted development tools such as Claude Code to move quickly without compromising quality. This role does not work on clinical diagnostic models. Roles and Responsibilities * Operational algorithms. Build, train and evaluate models for case routing and worklist prioritisation, TAT prediction, radiologist scheduling and RVU/volume forecasting, and anomaly detection on operational data. * Mobile AI features. Build AI\-enabled features in mobile apps (React Native, Flutter or native iOS/Android) and integrate them with backend model services. * On\-device inference. Convert, optimize, and deploy machine learning models such as LightGBM, XGBoost, and scikit\-learn models for production use, balancing accuracy, inference latency, memory usage, and model size. * Data and evaluation. Build data pipelines from operational systems, define success metrics with operations stakeholders, and measure model impact against baselines in production. * AI\-assisted development. Use Claude Code and similar agentic coding tools in day\-to\-day development, while owning the review, testing and correctness of everything you ship. * Production engineering. Package models as tested services (Python, Docker, FastAPI) with unit and regression tests, logging and monitoring. Senior engineers lead architecture and deployment. * Stakeholder collaboration. Work with operations, product and engineering teams to turn workflow problems into measurable AI solutions. Python \| scikit\-learn \| XGBoost / LightGBM \| Time\-Series Forecasting \| Optimisation / OR\-Tools \| React Native / Flutter \| Swift / Kotlin \| PyTorch \| Core ML / TensorFlow Lite / ExecuTorch \| Claude Code / AI\-Assisted Development \| FastAPI / REST APIs \| Docker \| Git \| pytest \| CI/CD \| MLflow / Weights \& Biases Work Location: Bengaluru, India Availability: Full time
Job Title: Senior AI/ML Data Scientist I (P3) Company: Nielsen Job Category: Machine Learning Roles & Responsibilities: Company Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content \- wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Description At Nielsen, we are seeking a Data Scientist to join our team. Are you passionate about pushing the boundaries with the latest advancements in AI/ML? Does the prospect of applying Cutting\-edge AI research to develop industry\-defining software solutions for audience measurement excite you? In this role, you will be at the forefront of our mission, leveraging sophisticated machine learning and AI to deliver a comprehensive understanding of audience behavior. You will architect and implement AI/ML systems that unlock novel insights from complex audience data. Problem \-Solving: Excellent analytical and problem\-solving skills with the ability to break down complex problems into manageable components. Exploratory Data Analysis (EDA): Conduct thorough EDA to understand data characteristics, identify patterns, anomalies, and relationships, and inform model selection and development. Model Evaluation \& Optimization: Implement rigorous model evaluation techniques (e.g., cross\-validation, hyperparameter tuning) and metrics (e.g., accuracy, precision, recall, F1\-score, ROC\-AUC, RMSE, MAE) to assess model performance and optimize models for production. Production Deployment (MLOps Fundamentals): Collaborate with MLOps/DevOps teams to integrate, deploy, and monitor classical ML models in production environments. Understand basic concepts of model serving and API development. Deep Learning and Neural Networks: Move beyond traditional ML algorithms to understand and implement deep learning architectures (CNNs, LSTMs, Transformers) for tasks like image recognition, natural language processing, and sequence modeling. Experience with developing simple UIs for model interaction or data annotation (e.g., using Streamlit, Gradio, Flask/Django). Good understanding of MLOps principles and experience with tools for model deployment, monitoring, and lifecycle management (e.g., Docker, Kubernetes, Kubeflow, MLflow). Demonstrated ability to lead technical projects and mentor team members. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: GenAI Engineer Company: EXL Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities * 3 years of experience as a NLP and Python developer. * Experience with Pandas, NumPy, Scikit, NLP a must have * Key fundamentals in object-oriented design, data structures and systems. * Ability to integrate multiple data sources into a single system. * Familiarity with testing tools. * Ability to collaborate on projects and work independently when required. * Working knowledge of GitHub and Jira * Ability to document requirements and specifications. * Develop and maintain advanced Python-based applications in the Generative AI domain, ensuring high performance, reliability, and scalability. * Implement and optimize Generative AI models, including GPT, LLAMA, Mistral, FLAN T5 and other cutting-edge AI technologies, to create innovative solutions and knowledge graph. * Development of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation * Collaborate with cross-functional teams to integrate AI functionalities into broader systems and applications. * Utilize AWS/Azure/Databricks GPU machines to manage GPU memory effectively, maximizing performance and efficiency. * Stay updated on the latest advancements in Generative AI, Python development practices, and cloud services to continually enhance our AI capabilities. * Assist delivery leads in delivering Generative AI solutions to clients in a timely manner, ensuring client satisfaction and project success. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior Data Scientist Company: Ericsson Job Category: Machine Learning Roles & Responsibilities: Join our Team About the Opportunity: Ericsson Enterprise Wireless Solutions (BEWS) is responsible for driving Ericsson's Enterprise Networking and Security business. Our expanding product portfolio covers wide area networks, local area networks, and enterprise security. We are the #1 global market leader in Wireless-WAN enterprise connectivity and are rapidly growing in enterprise Private 5G networks and Secure Access Services Edge (SASE) solutions. What Will You Do: Lead the design and implementation of machine learning and statistical models to solve complex business problems across multiple domains. Collaborate with cross-functional teams - data engineers, product managers, and architects - to identify high-impact opportunities for AI-driven solutions and translate them into production-grade systems. Perform data exploration, feature engineering, and dataset curation to support both classical ML model development and LLM grounding/context pipelines. Stay at the forefront of AI/ML research - actively tracking arXiv, open-source releases, and industry developments Experience deploying and scaling AI models in production with robust monitoring, observability, and performance management. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Assistant Director, DAAI Company: HSBC Job Category: Machine Learning Roles & Responsibilities: HSBC International Wealth and Premier Banking (IWPB) business aims to be the international bank of choice for affluent customers, supporting their domestic and international banking, and holistic wealth management needs. We provide a leading premium proposition through Premier Banking and, together with our Global Private Bank, are present across the world’s most important markets, booking centres, and corridors most valued by our clients. Our wealth offering is further enhanced through our best-in-class manufacturing capabilities in Asset Management and Insurance. IWPB Data, Analytics and AI team in Global Service Centre (GSC) is an innovative community leveraging the best of data and analytics capabilities to enable smarter decisions and drive profitable growth for the business. The work done within this team forms a vital input towards strategic planning by the senior management and enables effective decision making along with addressing unforeseen challenges. Rightly positioned in the two major intellectual hubs of India (Bengaluru and Kolkata), China, Mexico and Malaysia, it attracts a rich mix of data, analytics and AI talent across locations. Being in these locations also enables HSBC to leverage talent from the rich academic and start-up ecosystem to keep up to date with the latest in the industry. Address business problems with quantitative solutions like building of predictive algorithms / forecasting / scenario simulations etc.. Converting a business problem into a quantitative construct, solve it with available statistical / mathematical methods (following the right rigour), engage with IT to implement and finally interpret the outcomes in business language. The range of business problems may cover areas of business growth, improving customer experience, limiting risk exposure, capital quantification, enhancing internal business processes etc. They are required to, as necessary, embed agile & exploratory practices into their approach, justify the choice of appropriate methods to various internal and external reviewers. The role holder would be required to, as necessary, embed agile & exploratory practices into their approach as needed, and retain the flexibility to change track to adopt other solutions based on changed scenarios, to deliver on effective results. This talent group is expected to keep themselves apprised of latest developments and industry practices around emerging methodologies, techniques etc. and bring those in-house by applying them for better outcomes. The talent group can also be tapped into for providing solutions for varying areas including improving existing processes, technology, and approaches by embedding exploratory & analytics & taking it forward. In this role, you will: Principal Accountabilities and Responsibilities (e.g., for Business, Customers and Stakeholders; internal control environment, etc.) * Deep understanding of network topology,centrality metrics and preferred hands-on experience with graph-DBs like Neo4j/TigerGraph etc * Efficiency in graph query languages and sound concept of graph machine learning is preferred * Ability to translate business issues into concrete graph problems. * Act as an SME/consultant on a functional area, conceptualise analytical solution for the business problem at hand for multiple businesses/region * Lead/mentor a team of individuals to provide analytical and strategic solutions to business with clear articulation of recommendations * Partner with the business effectively to drive data driven decisions and generate value. * Good understanding of business domain, functional goals, and the required technical expertise * Owns delivery of high quality analytical solutions for the business stakeholders across one of more regions * Partner with business leaders in developing & owning analytical strategies to achieve business goals. * Translate key analytical solutions as generic and re-deployable across regions / markets * Supports innovative analytical thinking & solutions that results into improved business performance * Identifying the training & development needs of the team & self to ensure required upskilling happens to stay relevant. * Interact with senior management and communicate and synthesize information in a simple form * Strict adherence to the HSBC Core Values, always upholding the HSBC culture. * Being part of the IWPB Fraud Analytics team the candidate needs to deliver and deploy suit of Fraud controls across markets by designing Fraud and Risk typologies and building graph network solutions . * Knowledge and exposure to cloud analytics platform such as GCP, AWS Redshift , Azure etc. will be preferred * Prior hands-on experience in Banking domain and Fraud/Financial Crime tools and platforms will be preferred Management of Risk/Internal Controls/Compliance: * The jobholder will continually reassess the operational risks associated with the role and inherent in the business, taking account of changing economic or market conditions, legal and regulatory requirements, operating procedures and practices, management restructurings, and the impact of new technology. * The jobholder will also adhere to and be able to demonstrate adherence to internal controls. This will be achieved by adherence to all relevant procedures, keeping appropriate records and, where appropriate, by the timely implementation of internal and external audit points, including issues raised by external regulators. * The jobholder will implement the Group compliance policy by containing compliance risk in liaison with Global Head of Compliance, Global Compliance Officer, Area Compliance Officer or Local Compliance Officer. The term ‘compliance’ embraces all relevant financial services laws, rules and codes with which the business has to comply. * This will be achieved by adhering to all relevant processes/procedures and by liaising with Compliance department about new business initiatives at the earliest opportunity. Also and when applicable, by ensuring adequate resources are in place and training is provided, fostering a compliance culture and optimising relations with regulators. Leadership & Teamwork * Effectively engage in a matrix structure to drive transformation goals for the organization * Collaborate with leaders to drive usage of analytics services by various business communities * Build a culture committed to the delivery of outstanding customer service and open, tran * Develop and enhance the capability and expertise of the team by providing the effective coaching and on-job training (For People Manager role) * The role holder shall also be expected to guide and lead team members from a functional perspective and help them build up a strong business understanding. (For People Manager role ) HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Work Location: Karnataka, India Availability: Full time
Job Title: Ai Ml Engineer Company: Experis Job Category: Machine Learning Roles & Responsibilities: The source did not clearly identify a separate responsibilities section. Refer to the original job posting. Work Location: Hyderabad, Chennai, Bengaluru, India Availability: Full time
Job Title: AI Engineer - T&I Company: WSP Job Category: Machine Learning Roles & Responsibilities: WSP is seeking an AI Engineer to develop and support production-oriented Generative AI solutions for the Middle East AI portfolio from the Bengaluru GCC. The role will work across AI products, agents, automation workflows and enterprise integrations, with emphasis on secure engineering, measurable quality and responsible AI. * Develop GenAI applications, agents and automation workflows using approved designs and engineering standards. * Implement retrieval-augmented generation, function calling, structured outputs and prompt patterns to improve solution reliability and usability. * Integrate AI components with enterprise systems, APIs, approved vector search services and governed data sources. * Build and maintain ingestion, chunking, embedding, indexing and retrieval pipelines for structured and unstructured content. * Create evaluation datasets and execute repeatable testing for accuracy, grounding, safety, latency and solution quality. * Apply responsible AI controls including validation, guardrails, content filtering, traceability and human oversight. * Develop clean, reusable and well-documented Python components and participate in code reviews. * Support deployment, monitoring, incident resolution and continuous optimisation of AI solutions. WSP-Aligned Technology Stack The role will use and support the approved enterprise stack below. Equivalent technologies may be considered only where formally approved through WSP architecture, security and governance processes. Azure DevOps, Git, CI/CD, automated testing, Azure Monitor and approved observability services * Deliver maintainable AI components that progress from prototype through controlled production deployment. * Improve solution quality through structured evaluation, monitoring and iterative optimisation. * Contribute to reusable AI capabilities and patterns across the Middle East portfolio. * Collaborate effectively with Middle East stakeholders, GCC delivery teams, product owners, engineering specialists and enterprise technology functions. * Work within WSP standards for architecture, cybersecurity, data protection, responsible AI, quality assurance and delivery governance. * Communicate clearly, document decisions and support transparent delivery reporting across distributed teams. WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation & Infrastructure, Property & Buildings, Earth & Environment, Power & Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come. * Maximize collaboration. * Maintain product quality and cultural integrity. Balance community, collaboration, opportunity, productivity, and efficiency. WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service. Work Location: Karnataka, India Availability: Full time
