ResponsibilitiesDevelop, test, and deploy Copilot based AI agents using Microsoft AI frameworks and APIs. Collaborate with business stakeholders to implement requirements with agent capabilities. Integrate Copilot agents with enterprise data sources and SaaS platforms. Ensure agents comply with security, privacy, and ethical AI standards. Monitor agent performance and implement continuous improvements. Document agent architectures, workflows, and best practices. Troubleshoot and resolve issues in production environments. Stay current with advancements in AI, LLM, and Microsoft 365 technologies. Ownership of agent development lifecycle and delivery of robust solutions.Effective cross-functional collaboration with product, IT, and business teams. Deployment of agents that drive measurable productivity or process improvements. Proactive identification and resolution of technical challenges. Clear documentation and knowledge sharing. Qualification & Experience Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 3+ years f experience in software development. 1-3 years of experience in AI development, preferably with Microsoft technologies. Proficiency in Python, Copilot SDKs , and experience with Azure AI, OpenAI, or other LLM frameworks. Familiarity with enterprise data integration and API development. Strong problem-solving and communication skills. Ability to work independently and drive strategic initiatives.

ResponsibilitiesDevelop, improve, and maintain the MLOps platform to support scalable, reproducible, and observable machine learning and generative AI workflows. Design and operate core ML infrastructure including feature stores, model registries, CI/CD pipelines, and data pipelines using AWS services such as SageMaker, ECS/EKS, Lambda, and Step Functions. Enable and support AI and ML development teams, providing best practices, tooling, and technical guidance on leveraging the platform for training, fine-tuning, and deployment. Drive architecture and technology decisions across the ML stack, including frameworks, orchestration, data processing, and observability tools. Collaborate with AI engineering teams to integrate LLMs and generative AI capabilities into products using secure, standardized, and auditable infrastructure. Continuously evaluate and adopt emerging tools and technologies such as LangChain, Ray, MLflow, Kubeflow, and Hugging Face to improve platform capability and developer productivity. Qualification & Experience Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. 5+ years of experience in ML/AI platform engineering, infrastructure engineering, or MLOps, preferably in enterprise or SaaS environments. Strong hands-on experience with AWS cloud services, including SageMaker, ECS/EKS, S3, Lambda, Step Functions, and Terraform/CloudFormation. Proficiency in Python, Docker, and Kubernetes for building and operating scalable ML infrastructure. Experience with MLOps tools/frameworks such as MLflow, Kubeflow, Vertex AI, Azure ML, or equivalent, along with familiarity in LLM infrastructure, vector databases, and RAG-based systems.

ResponsibilitiesDevelops, documents, and configures systems specifications that conform to defined architecture standards, address business requirements, and processes. Involved in planning of system and development deployment as well as responsible for meeting hardware and software compliance and security standards. Evaluates interface between hardware and software, operational requirements and characteristics of overall system. Establishes and documents system design, parameters and formats, ensures hardware and software systems functionality, performance and compatibility, and coordinates and/or modifies system parameters in terms of configurations, such as existing and projected computer capacity and capabilities. Actively identifies system functionality or performance deficiencies, executes changes to existing systems, and tests functionality of the system to correct deficiencies and maintain more effective data handling, data integrity, conversion, input/output requirements, and storage. May document testing and maintenance of system updates, modifications, and configurations. May act as a liaison with key technology vendor technologists or other business functions. Function Specific: Strategically design technology solutions that meets the needs and goals of the company and its customers/users. Leverages platform process expertise to assess if existing standard platform functionality will solve a business problem or customization solution would be required. Gather and prioritize integration requirements. Test the quality of a product and its ability to perform a task or solve a problems. Perform basic maintenance and performance optimization procedures in each of the primary operating systems. Technology: Using computational thinking to define technological solutions to real life problems. Design technology that allows for the optimal user experience and broad accessibility. Ability to document detailed technical system specifications based on business system requirements.Expeirence14+ years of experience or advanced degree and 12+ years of experience

ResponsibilitiesDesign, develop, and optimize ETL workflows using Informatica PowerCenter to ingest and process data from SAP and other enterprise systems. Perform advanced data extraction from SAP modules such as APO, R/3, and GTS, ensuring high data quality and performance. Maintain and support existing ETL pipelines running on Oracle backends, ensuring availability and minimal downtime. Drive and support the transition to Databricks, modernizing ETL pipelines and contributing to architecture evolution. Collaborate with business stakeholders, data architects, and BI developers to define data requirements and deliver scalable data solutions. Implement and monitor job scheduling using Tivoli and Airflow. Troubleshoot and optimize Unix shell scripts involved in data movement and job orchestration. Ensure compliance with data governance, quality, and security policies.Expeirence7+ years of IT experience with a bachelor’s degree in Engineering, MCA, or MSc. ETL Tools: Informatica PowerCenter (advanced) 4+ years experience in snowflake and IICS. Databases: Oracle (strong SQL), basic understanding of Delta Lake (Databricks) Cloud/Data Platforms: Databricks (preferred or willingness to learn) SAP: Strong understanding of SAP APO, R/3, and GTS data structures Scheduling Tools: Tivoli Job Scheduler, Airflow Scripting: Basic Unix shell scripting

ResponsibilitiesDesign and Develop Leadership Curricula – Design and develop scalable leadership curricula for over 10,000 leaders, from supervisors to executives, ensuring alignment with the Leadership Essentials model: Care, Inspire, Deliver. Incorporate Leadership Development Research – Stay current on best practices, models, and frameworks in leadership development and apply them to learning solutions in a practical, business-relevant way. Apply Adult Learning Principles – Utilize evidence-based adult learning theories and methodologies to effectively transform leadership behaviors, ensuring that learning experiences are engaging, relevant, and impactful for leaders at all levels. Develop Multi-Modal Learning Solutions – Create and maintain effective, engaging, and interactive learning experiences across multiple modalities (workshops, virtual instructor led training, job aids, toolkits, simulations, case studies, etc.).Support Performance-Based Learning – Design tools and resources that go beyond training events, such as coaching guides, on-the-job assignments, action learning projects, and peer learning experiences. Ensure High-Quality, On-Time Delivery – Manage multiple projects simultaneously, meeting deadlines while maintaining high standards for instructional design, learner engagement, and business impact. Design & Creative Development - Translate complex learning concepts into clear, engaging brand-aligned visual assets that enhance understanding and learner engagement. Leverage Advanced Design Tools – Utilize software and technology, such as Microsoft 365 (PowerPoint, Word, Excel) Canva, Articulate Storyline, Camtasia, and other digital authoring tools, to create learning materials. Collaborate with SMEs - Work closely with subject matter experts to understand learning objectives and content requirements, and translate complex information into clear and compelling learning materials. Align Visual Design with Medtronic Brand – Ensure course materials, presentations, and digital assets adhere to Medtronic’s branding guidelines and visual identity for consistency and professionalism.ExpeirenceMust have overall 8-12 years of experience. Full time Bachelor's degree from a recognized University, instructional design, or a related field. Master's degree preferred. Proven experience (5+ years) in instructional and visual design role or a related field, with a focus on enterprise leadership development. Working knowledge of leadership development research, theories, and business application.

Responsibilities As part of the KGS Global Customer Operations (GCO) - Global Business Service (GBS) team, the job role is: To provide 2nd/3rd Level Web/Technical Production Support of eBusiness Web Tools for our Keysight customer base. Design, Development, Testing and general technical Support / maintenance of web applications/portals. Work with different businesses, vendors and internal customers to provide effective and timely support. Should act as a Technical and Business consultant for the projects assigned. Should be flexible to work 24 x 5 as per job requirements. To provide end to end support on customer queries over email/phone. Work with deadlines and should meet 100% SLA. Co-ordinate and manage end to end delivery.   Qualification & ExperienceB.E/B.Tech/MCA/GNIIT in computers, EC, telecommunications or other related streams with minimum 3-5 years of working experience in web domain with following skills: Strong coding/development knowledge of one or more of the server-side technologies [ASP, ASP.Net, C#, JSP, Servlets, ColdFusion, Python] and front-end technologies/frameworks like Bootstrap, HTML, DHTML, VBScript, JavaScript, CSS, Angular JS, NodeJS is must. Prior working experience on ReactJS framework is highly preferred.

Responsibilities  Hands-on experience in languages: C, C++, Python.  Good to have knowledgein networking domain  Good to have understandings of AI/ML  Experience in using opensource and commercial tools for development  Well versed and habituated to work in an agile product development model using CI/CD practices  Knowledge of software builds, build system and CI/CD pipelines  Experience with test driven development through unit tests and integration tests would be a big plus  Dedication to work on customer issue reproduction and debugging of customer issues.  Excellent verbal/written communication skills, Teamwork, and interpersonal skills.  Ability to interface and collaborate directly with various stakeholders, business partners, and vendors.  Must have a can-do attitude towards continuous learning and delivery challenges.  Very good command of English

Responsibilities Collaborate with ML engineers, data scientists, and product teams to gather requirements and translate ML models into production-ready software components. Design and implement scalable software architectures, including: Model inference microservices Backend libraries and APIs for ML components Feature serving and data pipelines for model inputs/outputs Write production-grade code in C++, Python, and Java with strong emphasis on performance, maintainability, and modularity. Develop custom C++ and CUDA kernels where necessary to accelerate model inference, preprocessing, or data transformations. Implement CI/CD pipelines, automated testing suites, and containerized deployments (Docker, Kubernetes). Profile and optimize latency, memory footprint, and GPU utilization for high-throughput, low-latency inference. Ensure software components are versioned, observable, and maintainable (logging, monitoring, rollback strategies). Work with business and product teams to integrate ML components into Keysight’s commercial software and measurement platforms. Document APIs, integration patterns, and deployment guidelines for internal and external consumption. Qualification & ExperienceBachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical discipline. 5+ years of experience developing backend systems or production ML components. Proficiency in C++, Python, and Java, with demonstrated ability to deliver performant, reliable code.

Responsibilities Perform integration configuration – mapping, loading, transforming and validating data required to support our customer’s unique system landscape on moderate to complex projects.  Design customized technology solutions to address specific business challenges or opportunities, considering the customer’s technological ecosystem and based on the integration approach (Kinaxis-led vs. customer-led).  Assist with the implementation and deployment of technology solutions, including project management, system integration, configuration, testing, and training.  Demonstrate knowledge and deep proficiency in both the Kinaxis Integration Platform Suite, Maestro data model, REST based API Integration capabilities, and support the client in identifying and implementing solutions best suited to individual data flows.  Collaborate with Kinaxis Support and/or Cloud Services teams to address client queries around security risks or security incidents.  Participate in deep-dive customer business requirements discovery sessions and develop integration requirements specifications.  Drive data management and integration related activities including validation and testing of the solutions.  Support deployment workshops to help customers achieve immediate value from their investment.  Act as the point person for Kinaxis-led integrations and coach and guide more junior and/or offshore consultants through the tactical deliverables for data integration requirements, ensuring a smooth delivery of the end solution.  Liaise directly with customers and internal SMEs such as the Technology Architect through the project lifecycle.  Technologies we use  Strong integration knowledge especially in extracting and transforming data from enterprise class ERP systems like SAP, Oracle, etc.  Experience with ERP solutions such as SAP, Oracle, Infor, MS Dynamics etc.  Hands on experience and expertise with ETL tools such as Talend, Informatica, SAP CPI / SAP BTP, OIC, MuleSoft, Apache Hop etc.  Technical skills such as SQL, JAVA, JavaScript, Python, etc.  Strong understanding of data modelling.  Knowledge of Cloud Service Providers like GCP, Azure, AWS and their offerings is an advantage.  Experience with configuration of data integration from / to SAP through BAPI / RFC, ABAP Programs, CDS Views, or ODATA is an advantage. Qualification & Expetience Bachelor’s degree in Computer Science, Information Technology, AI/ML or a related field.  3-10 years of relevant experience in business software consulting, ideally in supply chain.  Minimum 3 years of experience in data integration across complex enterprise systems.  Passion for working in customer-facing roles and able to demonstrate strong interpersonal, communication, and presentation skills. 

Responsibilities  All aspects of the machine learning software development life cycle are familiar to you. You are passionate about shipping large-scale software systems in a fast-paced environment, but you can balance longer term issues such as maintainability, scalability and quality. You’re fluent in Python object-oriented development and in the cloud. In addition to working with modern data storage, familiarity with Kubernetes, docker and have hands-on experience with big data technologies. You have the ability and enthusiasm to learn new technologies whether they are infrastructure language or platform and easily adapt to change.  You will define, drive, design, and build/ship end-to-end solutions that not only solve real customer problems but also create automated AI/ML-based solutions specifically tailored for building a cutting-edge application leveraging LLM to orchestrate our customers’ supply chains, including architectural design, relevant design documentation, test planning and execution.  You will contribute to the end-to-end AI/ML software development lifecycle, ensuring reproducible research and state-of-the-art results for our customers. You will drive architecture, design, and delivery of advanced ML systems in the Product R&D team. Oversee the work of junior developers and actively engage team members to develop their skills and build shared ownership across the code base. Proactively engages outside of team to unblock other team members while progressing their own technical assignments.  You are a team player, a quick starter and a problem solver, as well as comfortable talking requirements with product managers. You work well in a cross-functional team and can listen and contribute to discussions. Ideally provide readily available solutions while considering technical aspects, effort, and risk. Qualification & Experience  Education: Bachelor’s degree or higher in Computer Science or a related field.  Strong software engineering skills with a minimum of 10+ years’ experience in enterprise software development.  Agentic & Modern AI Frameworks: Practical experience building solutions using agentic AI patterns, RAG, vector databases, and orchestration frameworks like LangGraph/Google ADK/OpenAI Agent SDK, including prompt engineering and context engineering for production of the agentic workflows.  End-to-End ML/AI Software Development: Extensive experience developing robust ML-driven systems with Python and modern data tooling. Skilled in debugging, optimizing, testing, and delivering production-quality software.  System Design & Architectural Thinking: Strong ability to design scalable, resilient, and modular systems, applying deep engineering judgment to ensure correctness, performance, and long-term maintainability.  AI Driven Software Development: Experience in leveraging agentic software development tools - such as GitHub Copilot, Claude Code or other autonomous agents - to accelerate delivery of new features and resolution of issues.  Technical Leadership & Collaboration: Ability to guide architecture, mentor developers, and drive high-quality engineering decisions across teams.  Technical Communication: Strong written and verbal communication skills suitable for both technical and non-technical audiences. Operate as a technical advisor to managers/leaders.  Demonstrated experience in designing comprehensive test plans, including functional, integration, system, and acceptance testing, with strong hands-on expertise in automation frameworks such as PyTest and continuous testing using GitHub Actions.