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: AI/ML Engineer – AI Governance & Automation Company: Mantra Consultancy Services Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities * Develop and implement AI/ML solutions using Python. * Build and maintain automated workflows, data pipelines, and API integrations. * Implement AI governance, Responsible AI, and data governance practices. * Ensure AI solutions align with applicable regulatory and governance frameworks. * Work with cross-functional teams to improve AI automation and data processing. * Support AI model development, validation, monitoring, and compliance. * Contribute to GenAI and Agentic AI initiatives where applicable. Work Location: In person Work Location: 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: Senior Machine Learning Engineer Company: Ericsson Job Category: Machine Learning Roles & Responsibilities: * Design, build and maintain end-to-end ML pipelines for data ingestion, model training, evaluation, deployment and monitoring. * Deploy ML models as scalable microservices and APIs with high availability and low latency. * Automate infrastructure provisioning using Terraform, AWS CloudFormation or similar tools. * Build and manage CI/CD pipelines for model deployment, versioning and rollback. * Integrate ML models into cloud-native architectures using AWS services such as SageMaker, EKS, Lambda, S3, ECS and CloudWatch. * Work with DevOps and platform teams to improve consistency, observability and cost efficiency. * Implement monitoring and alerting for model performance, data drift and system health. * Develop reusable microservices, APIs and SDKs for ML model integration. * Maintain strong standards for code quality, testing and documentation. * Stay updated on developments in MLOps, cloud computing and distributed model serving. * 2-3 years of experience in ML Engineering, Software Engineering or DevOps, with a focus on machine learning systems. * Strong Python skills and experience with TensorFlow, PyTorch or Scikit-learn. * Strong experience with AWS services including SageMaker, Lambda, ECS/EKS, CloudWatch, S3 and IAM. * Experience deploying ML models into production using FastAPI, Flask, gRPC or similar frameworks. * Hands-on experience with Terraform and Infrastructure as Code. * Experience with Docker and Kubernetes. * Good understanding of CI/CD pipelines, model registries and artifact management. * Knowledge of model monitoring, logging and observability tools such as Prometheus, Grafana or Evidently AI. * Strong software engineering practices including version control, modular design, automated testing and code reviews. Work Location: Karnataka, India Availability: Full time
Job Title: Technical System Engineer (Cloud, Data & IoT) Company: IKEA Job Category: Machine Learning Roles & Responsibilities: Full Time Permanent * Department This is a technical role for someone who has delivered large projects end to end, combines a cloud architecture background with full-stack / back-end development, and is strong in data engineering with Databricks and Python. * Cloud architecture: implement and maintain secure, scalable cloud architectures for real estate and smart building solutions on GCP, Azure or AWS. * Data platform: Build and operate the data lake / lakehouse (e.g. Databricks, Delta Lake) for building, IoT, IWMS and business data, including ingestion, modelling and governance. * Data pipelines: Develop batch and streaming pipelines in Python / PySpark and SQL for time-series sensor data, BMS data and system integrations. * IoT & smart buildings: integrate IoT device connectivity and smart building systems (BMS, energy meters, occupancy and environmental sensors) using protocols such as MQTT, BACnet and OPC UA. * Back-end & full-stack development: Build APIs, microservices and, where needed, web front-ends that expose building data and insights to users and other systems (including the IWMS / Planon). * Large projects: Lead the technical workstream on large, multi-site projects – from solution design and estimation through build, rollout and handover to operations. * DevOps & quality: Set up CI/CD, infrastructure as code, monitoring and automated testing; ensure security, reliability and cost efficiency. * Analytics & AI enablement: Enable dashboards, KPIs and advanced analytics/ML use cases such as energy optimisation, predictive maintenance and space utilisation. * Follow engineering best practice specified within Ikea Digital organisation Key responsibilities (text) We believe you bring: The must-haves we see for this role are: * Hands-on experience in software and data engineering, with a track record of delivering large, complex projects. * Cloud architecture: background in cloud architecture on GCP and/or Azure / AWS (compute, storage, networking, security, serverless, managed data services). * Software engineering: Full-stack experience with back-end focus – designing and building APIs, services and integrations. * Python: Intermediate Python skills for data engineering and back-end development. * Databricks: Hands-on experience with Databricks (PySpark, Delta Lake, workflows, Unity Catalog). * Data background: Good data engineering experience – data lakes / lakehouses, ETL/ELT, streaming and time-series data. * IoT & smart buildings: Experience with IoT platforms and smart building systems, including device data ingestion and building protocols. * DevOps: Experience with CI/CD, Git, containers (Docker / Kubernetes) and infrastructure as code (e.g. Terraform). * Passion to write code and build solutions. * Balancing long-term design with pragmatic delivery. * Clear communicator who can explain complex technology to business stakeholders. * Curious and forward-looking mindset, with a willingness to explore and learn new technologies, identify their potential, and uncover business value through AI including opportunities to develop and work with agentic AI solutions * Fluent in English, written and spoken. Team vision (text) You will work in Group Function Digital Area. The Digital Area – Group Functions is a new area built to strengthen digital partnership and delivery across all Group Functions and Global Business Operations (GBO). We develop and deliver digital capabilities across key areas like Finance, People & Culture, Procurement, Legal, Business Risk & Compliance, Communications, Real Estate, Business Steering in Ingka's global organisation. You will be part of a team that is leading the foundational transformation in HR Tech — with a clear vision: to bring trustworthy data to business leaders so they can make informed decisions. We sit at the intersection of HR, data, and technology, and we believe that getting the foundation right is what makes everything else possible. IKEA has long been a global leader in home furnishing. We are proud of our vision to improve the everyday life of the many people. But our industry is quickly changing, and we need to adapt to stay competitive. At the heart of our business, are our wonderful co-workers representing diversity in all dimensions and passionate for life at home. We all contribute with our uniqueness and we want to grow and develop together. * Living our values * Being your unique self, while respecting and including others * A passion for home furnishing * Performing & delivering while learning & developing * Having fun! Work Location: 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 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
Job Title: Senior Manager - Customer Service - Supply Chain Projects Company: Diageo Job Category: Machine Learning Roles & Responsibilities: Job Description : Bring your talent, curiosity and ambition, and strive for your personal best alongside people who challenge, support and learn from each other. Together, as one outstanding team, we keep learning, improving and raising the bar for our brands, our business and each other. About the Role: * Supply Chain Transformation Projects Lead end-to-end technology and transformation projects across Planning, Logistics, and Customer Service. * Identify business pain points and translate them into scalable technology and automation solutions. * Drive multiple cross-functional initiatives simultaneously, ensuring delivery within scope, timelines, and expected business outcomes. * Develop business cases, implementation roadmaps, and value realization plans for transformation initiatives. * Digital Planning & Technology Enablement Support the implementation, enhancement, and optimization of Supply Chain Planning platforms such as o9, Kinaxis, SAP IBP, Anaplan, or similar tools. * Collaborate with business users to improve planning processes, system capabilities, and user adoption. * Recommend and implement digital solutions that enhance planning accuracy, operational efficiency, and customer service. * AI, Automation & Innovation Identify opportunities to leverage Agentic AI, Generative AI, machine learning, and automation to transform supply chain processes. * Design and develop AI-powered use cases that improve planner productivity, automate repetitive tasks, and enhance decision-making. * Build or coordinate the development of intelligent assistants, plugins, workflows, and digital tools to solve business problems. * Evaluate emerging technologies and recommend innovative solutions aligned with business priorities. Advanced Analytics & Process Improvement Analyze operational and planning data to identify trends, inefficiencies, and improvement opportunities. * Apply analytical techniques to support decision-making and quantify business impact. * Design KPI dashboards and digital reporting solutions that provide actionable insights. * Drive continuous process improvement through automation, analytics, and technology. * Technology & Vendor Management Evaluate technology vendors and digital solutions based on business requirements, technical fit, scalability, and return on investment. * Partner with internal Technology teams and external implementation partners to ensure successful delivery of projects. Where appropriate, develop lightweight in-house tools, utilities, or prototypes to accelerate business outcomes. Manage implementation governance, testing, deployment, and post-implementation stabilization. Functional Competencies: Supply Chain Planning Logistics & Customer Service Operations, Supply Chain Digital Transformation, Business Process Improvement Technology, Program Management, Advanced Analytics AI & Automation Strategy Vendor Evaluation & Management Product & Solution Design Change Management Business Case Development. value Realization Technical Competencies: o9 Solutions / Kinaxis / SAP IBP / Anaplan / Blue Yonder SAP ERP Power BI SQL (preferred) Python (preferred) Data Analytics & Visualization API Integration Concepts Workflow Automation Platforms Low-code/No-code Development Agentic AI & Generative AI Platforms AI Assistants, Plugins & Workflow Development Microsoft Power Platform (desirable) Success Measures. Successful delivery of digital transformation projects Business value realized through technology implementations. Reduction in manual effort through automation Adoption and utilization of planning platforms AI use cases successfully deployed and scaled Improvement in planning efficiency and customer service KPIs Stakeholder satisfaction and project delivery performance Vendor implementation success and ROI achievement Number of innovative solutions deployed, and business impact delivered Working with us: Flexibility is key to our success. Talk to us about what flexibility means to you, so that you’re supported to manage your wellbeing and balance your priorities from day one. We recognise and value performance, offering our people a highly competitive Rewards and Benefits package including: Work Location: Karnataka, India Availability: Full time
Job Title: Data Engineer Company: Moody's Job Category: Machine Learning Roles & Responsibilities: If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. * 1-2 years of experience in developing and managing large-scale data infrastructure and AI applications * Proficiency in designing and implementing scalable, fault-tolerant data infrastructure on AWS using services such as AWS Redshift, RDS, Glue, EMR, and other related tools * Advanced skills in Python, PySpark, and SQL for efficient data manipulation and processing along with experience with data modelling and database design (SQL and NoSQL) * Familiarity with big data technologies (e.g., Apache Spark, Hadoop) and real-time data processing solutions * Understanding of data governance, data quality, and security best practices * Knowledge of data streaming technologies such as Kafka, AWS Kinesis, or equivalent * Ability to work directly with data scientists, analysts, and cross-functional teams to understand business requirements and translate them into technical solutions * Excellent communication, leadership, and problem-solving skills Responsibilities As a Data Engineer, you will play a pivotal role in designing, building, and maintaining reliable data infrastructure, including pipelines and workflows that support business functions and advanced analytics. This role is crucial in ensuring the seamless integration and operation of our AI and data infrastructure. * Design, implement, and maintain robust, scalable, and fault-tolerant ETL/ELT processes leveraging AWS services (e.g., Redshift, RDS, Glue, EMR) * Develop and optimize data workflows using Python, PySpark, and SQL, ensuring top performance * Work closely with data scientists, analysts, and stakeholders to gather data requirements while delivering effective solutions * Ensure adherence to best practices related to data governance, quality, and security across all data pipelines * Automate and optimize data processing tasks to improve reliability and reduce manual intervention * Drive adoption of emerging big data technologies, cloud engineering, and automation practices * Provide technical mentoring and guidance to junior team members as required * Foster a culture of teamwork, openness, and innovation within and across teams Moody’s Ratings’ AI Analytics group develops advanced machine learning (ML) and generative AI solutions for high-profile data science initiatives. The successful candidate will guide teams in building robust, scalable, and secure solutions on AWS. The successful candidate will strive to meet Moody’s values: openness, diversity, inclusivity, respect, and a willingness to learn. Work Location: Karnataka, India Availability: Full time
Job Title: AI Risk Engineer Company: Ananta Services Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities * Build, maintain, and enhance automation scripts, workflows, and tools supporting AI impact assessments and Responsible AI reviews. * Configure and maintain AI governance platforms, including risk scenarios, controls, review workflows, and evidence documentation. * Design and manage AI review and approval checkpoints, including pre-production assessments and periodic reviews. * Support model review processes for foundation models and custom-built machine learning models. * Maintain inventories of AI models, agents, and enterprise AI use cases. * Conduct AI ethical risk assessments and impact analyses. * Assess AI solutions and vendors for fairness, security, transparency, accountability, and policy compliance. * Identify potential bias, model drift, and unintended consequences in machine learning and generative AI systems. * Collaborate with cybersecurity, legal, data privacy, and engineering teams to implement Responsible AI controls. * Support training, documentation, FAQs, and awareness initiatives related to AI governance. * Help integrate Responsible AI practices into AI product development and deployment workflows. Work Location: Hybrid remote in Bengaluru City, Bengaluru, Karnataka Work Location: Karnataka, India Availability: Full time
