2619 Open Source Jobs - Page 11

Sandisks High-Performance Computing environments are key to bringing new storage solutions to market. As a Senior High-Performance Computing (HPC) engineer in the IT Infrastructure team, you will be at the heart of Sandisk s engineering and product development process, delivering the IT HPC infrastructure and services that empowers engineering teams to develop new storage technologies and deliver high quality products to market quickly. As a member of the HPC as a service team HPCaaS, you will be responsible for establishing and executing strategic objectives focused on improving the effective utilization of the compute resources while meeting or exceeding customer service level agreements for job prioritization, job concurrency, and job throughput in our EDA compute clusters. This includes leading architectural innovation and path finding efforts to create and implement Sandisk s next generation Grid computing environment. As a member of the team, you will be expected to not only deliver on technical requirements and solutions but also be able to present your solutions to senior management. Responsibilities include but are not limited to working as an individual contributor, a team member and a technical team lead to explore, define, and pilot new solutions with little supervision. Develop solutions, scripts, and/or processes to automate management of services and tools as required. In this role, you will be collaborating closely with EDA and hardware design team stakeholders to define and deliver workload efficiency improvements in Sandisk s EDA HPC infrastructure globally. Role Overview: Join our global engineering product development team to support and enhance multi-site, high-performance computing (HPC) infrastructure and services. You will design, implement, and maintain automation solutions while driving continuous improvements in performance and reliability. Key Responsibilities: Manage and support distributed HPC environments across multiple locations, focusing on ASIC and GPU computing clusters. Design, deploy, and maintain Ansible automation for HPC and Unix systems. Troubleshoot complex issues within HPC clusters and file systems, performing root cause analysis and driving corrective actions. Develop and maintain comprehensive documentation for HPC infrastructure. Identify opportunities to automate repetitive tasks and improve system reliability. Recommend and implement performance enhancements for various workloads. Support a broad Engineering Design Automation (EDA) ecosystem including licensing and workflow management. Technical Environment: Workload managers: LSF, Slurm, NC EDA tools such as Cadence, Synopsys, and their workflows Automation of job submissions and workload management Monitoring and observability using Splunk and Grafana Infrastructure: RedHat/CentOS Linux, NFS storage, automounters VDI: Exceed TurboX, VNC Unix/Linux authentication integrated with Active Directory Infrastructure automation through scripting and open-source tools Qualifications Bachelor s degree in Computer Science or equivalent experience 10+ years of Linux systems administration, with strong expertise in RedHat/CentOS production environments Proven experience w

We are seeking a highly skilled and motivated GenAI benigner with a strong background in Natural Language Processing (NLP), Text Analytics, and Deep Learning. The successful candidate will join our team and contribute to cutting-edge research and development in the field of Generative AI. Roles & Responsibilities: Conduct applied research activities focused on Natural Language Processing, Text Analytics, and Deep Learning. Develop and fine-tune Large Language Models (LLMs) for various NLP tasks. Explore and implement Domain Adaptation techniques to enhance model performance in specific areas. Work on Retrieval-Augmented Generation (RAG) models and methodologies. Collaborate with cross-functional teams to integrate research outcomes into products and services. Publish research findings in Top-tier conferences and journals. Stay updated with the latest advancements in NLP, Deep Learning, and related fields. Qualifications Educational qualification: Master s or Ph.D. in Computer Science, Artificial Intelligence, or a related field. Experience:

Hyland Software is widely known as a great company to work for and a great company to do business with. Being a leader in providing software solution for managing content, processes and cases for organizations across the globe we enabled more than 20,000 organizations to digitalize their workplaces and transform their operations. Currently we are looking for a Developer 2 What you will be doing The Developer is responsible for the overall performance of the product through applying principles of software engineering to the design development maintenance testing and evaluation of the software. The Developer ensures timely delivery of high quality software within the release timelines and guidelines Develop code based on functional specifications and thorough understanding of product code; identify refactoring opportunities and architectural improvements Test code to verify it meets the technical specifications and is working as intended, before submitting to code review Create and apply automated tests and test principles to software changes, including (but not limited to) unit tests Contribute to standards and processes as applicable to software development methodology, including planning, work estimation, solution demos, and reviews Complete logic and algorithm design in alignment with established standards Perform moderately complex peer code reviews Read software requirements and understand impact on design specifications Contribute to the implementation of delivery pipeline, including test automation, security, and performance. Understand business, application, and coding tasks to make data-driven recommendations for internal process improvements and product documentation Provide troubleshooting support for moderately complex production issues or software code issues to ensure the stability of the application Comply with all corporate and departmental privacy and data security policies and practices, including but not limited to, Hyland s Information Systems Security Policy. What will make you successful Bachelors degree in Computer Science or related field and relevant work experience of 4+ years. Experience with data structures, algorithms, and software design Programming Language: C#, JavaScript, TypeScript Framework: ASP .NET, WPF and Angular Development experience with Databases like MS SQL Server and/or Oracle REST/SOAP API development Version control tools like Bitbucket, Git and/or TFS Knowledge with Azure DevOps, CI/CD pipeline, Jenkins Experience working in Windows/Linux development environment, working with open source tools/platforms Experience with build environments and delivery pipelines Experience with test automation and continuous integration tools Knowledge of software application testing tools, methodologies, and process framework Good oral and written communications skills that demonstrate a professional demeanor and the ability to interact with others with discretion and tact Good collaboration skills, applied successfully within team as well as with other areas Good critical thinking and problem solving skills Self-motivated with the ability to manage projects to completion with oversight Ability to work independently and in a team environment Good attention to detail Driven to learn and stay current professionally Passionate, competitive and intellectually curious Sharp, fast learner with technology curiosity and aptitude Ability to provide technical and constructive feedback to team members Up to 10% travel time required Hyland s Offering We re proud of our culture and take employee engagement seriously. By listening to employees feedback, we re able to provide meaningful benefits and programs to our workforce. Learning & Development - development budget (used for certifications, conferences ect.), tuition assistance program, 4,000+ self-paced online courses, instructor-led webinars, mentorship programs, structured on-boarding experience full of trainings, dedicated Learning & Development department supporting our employees R&D focus cutting edge technologies, constant modernization efforts, dynamic and innovative environment, dedicated R&D Education Services department to help you grow Work-life balance culture flexible work environment and working hours (we are working in task-based system!), possibility to work from home, we value trust and we believe efficiency does not depend on your actual location, however we would like to spend time together in the office! Well-being - private medical healthcare, life insurance, gym reimbursement. Community Engagement Volunteer time off (12h/year) Diversity & Inclusion employee resource groups, inclusion benefits and policies Niceties & Events quarterly profit sharing, culture & outings budgets, snacks and beverages, employee referral program, Christmas, birthday, baby gifts. If you would like to join the company where honesty, integrity and fairness lie in the bottom of values, where people are truly passionate about technology and dedicated to their work connect with us! We are committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, marital status, gender identity, or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. The information collected by this application is solely to determine suitability for employment, verify identity and maintain employment statistics on applicants.

Req ID: 311115 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Network-Data Center-Datacenter ManagementSystems Integration Advisor to join our team in Bangalore, Karn taka (IN-KA), India (IN). SolarWinds Subject Matter Expert (SME) Responsibilities Serve as the Subject Matter Expert (SME) on SolarWinds and other Open-Source Monitoring products. Oversee the daily SolarWinds execution and maintain an expert view of the current SolarWinds State of Operations. Configure SolarWinds to meet the specific needs of the organization. Use SolarWinds to monitor the performance and availability of network and systems. Update and maintain the SolarWinds platform to ensure it is running smoothly and efficiently. Provide training and support to other users on the proper use of SolarWinds. Collaborate with other IT professionals to develop and implement strategies for improving network and system performance using SolarWinds. Act as Point of Escalation for any critical outages of the SolarWinds Monitoring System, including but not limited to, resolving availability issues, restoration of failed systems, and invoking disaster recovery procedures, during BCP invocation. Provide mentoring and coaching to Level 1 and Level 2 engineers. Participate in team reviews. Service improvements/enhancements by way of Service Improvement Plans, which include, but are not limited to, automation of routine activities, optimization of resources. Participate in capacity planning and capacity improvements. Provide Tier 3 Level Support on tickets escalated by level 2 engineers. Keep stakeholders updated through SOP, on business-critical incidents. Skills Good communication skills Strong analytical skills Ability to troubleshoot technical issues Relevant Experience 8+ Years

Location: Bangalore/Chennai Experience: 10+ Years Technical / Behavioural Strong background in several of the following: Python, Go, JavaScript, RESTful services, Jenkins CI/CD, Configuration Automation (Chef, Ansible), AWS Preferred background in: Angular, Bootstrap, HTML/CSS, Shell Scripting, messaging frameworks (MQ), Service Oriented/Micro-service Architectures, OpenStack, Relational Databases (PostgreSQL). Comfortable working in both Linux, and Windows environments. Experience with deploying and utilizing open source tools, utilities and applications. Working experience with Agile, 10-factor CI/CD, 12-factor applications, and testing environments/frameworks (Unit, Integration, TDD). Understands the Spotify model for agile development and delivery. Experience working in a highly collaborative, ever-evolving DevOps environment. Preferred Cloud Certification, e.g. AWS certified Associate Developer and/or Solution Architect The Skills that are Good To Have for this role Drive for continuous improvement and enjoys solving complex problems across all areas, including outside of the current role. Knowledge designing scalable, cloud-friendly systems. Ability to quickly adapt to evolving needs of the business and deliver timely results. Awareness of both current and developing technologies. Strong desire to innovate and develop future technology. Ability to create clear and compelling arguments to communicate decision using available information and assumptions.

Model Development Implement and fine-tune moderndetection/classification architectures like YOLOv8, Faster/Mask RCNN,EfficientNet, ConvNeXt, and Vision Transformers. Conduct ablation studies,hyperparameter tuning, and model optimization experiments (e.g., pruning,quantization, distillation). Data Pipeline Define labeling guidelines,manage annotation QA loops, and handle class imbalance strategies likere-sampling or focal loss. Build data loaders andaugmentation pipelines using libraries such as Albumentations or TorchVision,tailored to challenging industrial imagery. Evaluation & QA Design reproducible experimentswith clear metric dashboards (mAP, F1 score, PR curves). Perform error analysis andmodel debugging to uncover edge-case failure modes. Deployment Package models for deploymenton cloud services (e.g., Azure, AWS). Integrate models intoproduction workflows using REST APIs, Docker, and CI/CD pipelines. Collaboration Work closely withcross-functional teams to translate real-world use cases into model specs. Document code and experimentsthoroughly and contribute to weekly research reviews. Requirements Key Requirements for the Role : 13 years hands-on experience in computer vision ordeep learning roles Experience with industrial/safetyinspection datasets (e.g., PPE detection, visual defect classification). Familiarity with MLOps tools likeMLflow, DVC, or ClearML. Experience with model optimizationand deployment frameworks (ONNX, TensorRT, OpenVINO). Exposure to real-time or edgeinference performance constraints. Contributions to open-source,research publications, or competitive CV challenges (e.g., Kaggle). Technical Qualification: Proficiency in Python and deep learning frameworks (PyTorch /Tensorflow). Good understanding of CNNs, transfer learning, data augmentation, and overfitting mitigation. Familiarity with basic software engineering practices (git, code reviews, unit testing). Mathematical Background: Solid grasp of linear algebra, probability, and optimization as applied in ML . Languages/Frameworks: Python, PyTorch, Tensorflow, TorchVision, FastAPI, OpenCV Model Tools: ONNX, TensorRT, Albumentations DevOps : Docker, Git, Azure/AWS Infra: Jetson devices, cloud APIs, SQL/NoSQL databases

5 - 8 Years of experience in Java, Servlets, JSP, jQuery, SOA Services, Spring Frameworks, Angular, Bootstrap, and Tomcat servers. Good knowledge of Maven and CI/CD pipeline. Experience in developing Java back-end logic and HTTPS/REST APIs. Exposure to automated testing, including JUnit. Experience with servlets, JSP, and JavaScript. Experience with relational databases. Experience with open-source software, APIs, and frameworks. Experience with modern JavaScript Single Page Application (SPA) frameworks or libraries (e.g., Angular / React) Job Description: Overall responsible and accountable for the work assigned to the developer. This includes the following activities: Ownership of assigned tasks and adherence to release schedule. Should have good problem-solving skills. Code and unit testing of the features assigned. Able to understand High-level / Low-level designs. Responsible for educating and following the process. Implement technical solutions from designs. Quickly learn new technologies to support product road map. Effective in object-oriented programming. Work closely with the Architect team for any POC work during UI/UX modernizations. Use reusable components. Work independently and seek less help from the Lead. Experience with tools like Jira, and GitHub.

Jul 19, 2025 Location: Bengaluru Designation: Senior Consultant Entity: Deloitte Touche Tohmatsu India LLP Your potential, unleashed. India s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The team As a member of the Operation, Industry and domain solutions team you will embark on an exciting and fulfilling journey with a group of intelligent and innovative globally aware individuals. We work in conjuncture with various institutions solving key business problems across a broad-spectrum roles and functions, all set against the backdrop of constant industry change. Your work profile Job Title: Backend Developer (Node.js/Java) Location: Bangalore Experience: 6 to 8 years About the Role: We are seeking a highly skilled Backend Developer with expertise in JavaScript (Node.js/TypeScript) and/or Java (Spring Boot) to build and optimize scalable backend applications. The ideal candidate should have a strong grasp of microservices architecture, RESTful API development, database technologies, caching solutions, messaging queues, and security best practices. Key Responsibilities: Develop, maintain, and optimize scalable backend services and microservices using Node.js (Express.js/NestJS) or Java (Spring Boot, Spring Cloud) . Design and implement RESTful APIs and Web Services for seamless system integration. Work with relational (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra, Elasticsearch) databases to design efficient schemas and queries. Implement caching solutions (Redis, Memcached) to enhance performance. Utilize messaging queues (Kafka, RabbitMQ) for event-driven architectures. Write and maintain unit and integration tests using frameworks like Jest, Mocha, Chai, JUnit, Mockito, or TestNG . Apply asynchronous programming principles and event-driven architectures for efficient backend operations. Ensure security best practices by implementing OAuth, JWT, CORS , and protecting against vulnerabilities (e.g., XSS, SQL injection, CSRF). Use Git for version control, managing branches, pull requests, and merges. Monitor and troubleshoot applications with tools like Prometheus, Grafana, ELK Stack, Splunk, or Datadog . Follow Agile/Scrum methodologies using tools like Jira, Confluence, or Trello . Required Skills & Qualifications: Programming Languages: Proficiency in JavaScript (ES6+/TypeScript) and/or Java (8+) . Backend Frameworks: Experience with Node.js (Express.js/NestJS) or Java (Spring Boot, Spring Cloud, Spring Security) . Microservices Architecture: Strong understanding of containerization (Docker, Kubernetes) and distributed system design. Database Technologies: Expertise in SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra, Elasticsearch) . Caching & Messaging: Hands-on experience with Redis, Memcached, Kafka, RabbitMQ . Testing & CI/CD: Experience with TDD, unit testing frameworks , and CI/CD pipelines. Security Best Practices: Knowledge of OAuth, JWT, SSL/TLS , and secure API development. Monitoring & Logging: Familiarity with ELK Stack, Prometheus, Grafana, or Splunk . Good to Have: Experience with GraphQL . Exposure to Serverless Architectures (AWS Lambda, Azure Functions). Active contributions to open-source projects or participation in developer communities. How you ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report . Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone s welcome entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you re applying to. Check out recruiting tips from Deloitte professionals.

The Role: A Software Development Engineer at Razorpay is well-grounded smart, quality-focused, product thinker, business-conscious not mere coders. You bring deep technical context and the ability to write and build high-quality software. Razorpay Engineering creates massive impact at scale, and we expect you to help shape the engineering culture in the right direction. We re looking for someone who can build a platform layer on top of a Langframework to create a robust orchestration system for AI models (e.g., GPT-4, Claude, etc.), enabling scalable and flexible integration across multiple use cases and downstream systems. You should either have a solid understanding or direct hands-on experience working with AI systems and models in production environments. Roles and Responsibilities: Be involved in and drive product and design discussions. Design and build a platform layer using Langframework for orchestrating multi-agent AI workflows. Architect extensible systems that enable efficient communication with LLMs and downstream APIs. Help us scale our payment infrastructure to get every Indian to pay online. Shape Razorpay s public REST APIs used by developers worldwide. Contribute to open source as we set new standards in fintech and AI tooling. Brainstorm and explore new AI-first products and features for onboarding, support automation, and internal ops. Be a mentor to junior engineers and drive engineering best practices. Mandatory Qualifications: 1 - 3 years of experience in technology, ideally in a product company. Prior experience or strong understanding of building with LLMs (e.g., GPT-4, Claude, Gemini) and AI model orchestration. Experience working with or building on LangChain, LangGraph, LlamaIndex, or similar frameworks. Strong product design sense and attention to quality. Proficient in one or more backend languages: Python, Golang, Java, PHP, Django, C++. Experience with REST APIs and building scalable web backends. Ability to build features from scratch and take full ownership. Strong problem-solving and debugging skills. Open to learning new technologies fast. Active GitHub profile, weekend projects, or contributions to open-source AI tooling. Location: Bangalore

Location: Chennai Experience: 6 - 9 Years The Expertise You Have A solid and strong foundation in software engineering bachelor s degree + preferred, 6+ years experience A full stack developer needs a strong foundation in Java, Spring Boot, Microservices API development, Design patterns, Open-source libraries, Kubernetes and frameworks with proficiency in Angular, TypeScript, Node, HTML/CSS Familiar with cloud providers, preferably AWS, to deploy and manage applications utilizing services such as S3, EC2, EKS, Lambda Functions. Knowledge of building RESTful services with Java/NodeJS and related frameworks Should also be familiar with version control, web performance optimization, and command-line tools. Experience with functional testing frameworks such as Cucumber, Karate, etc. Working knowledge of Kafka Producer / Consumer Development Experience building and deploying applications using continuous integration pipelines and automated deployment tools such as Jenkins Experience in developing and maintaining robust and scalable digital services using 12 factor principles, containerization technologies such as ECS & Docker. Passionate and committed to learning new things and developing with the latest technologies and frameworks The Skills You Bring Excellent and effective communication required Strong problem resolution skills required Ability to work in an agile environment required.

Requisition #: 16747 Ansys is now a part of Synopsys. Synopsys, Inc. (Nasdaq: SNPS) accelerates technology innovation from silicon to systems. Catalyzing the era of pervasive intelligence, we deliver design solutions, from electronic design automation to silicon IP, to system design and multiphysics simulation and analysis. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. Learn more at www.synopsys.com. Summary / Role Purpose The R&D DevOps Engineer II will support the designing, implementing, and maintaining all phases of software build management and supporting systems for the Meshing Development Unit. This role will closely work with distributed cross functional teams developing next generation engineering software products and create & maintain build scripts, integrate open-source and third-party tools. The DevOps Engineer II uses automation to minimize manual intervention and enhance system stability and reliability. In this role, the DevOps Engineer II will use advanced technical and problem-solving skills to help the team tackle complex issues, satisfy customer requirements, and accomplish development objectives. Key Duties and Responsibilities Perform DevOps activities, including the maintenance, monitoring, documenting, and testing of product builds and packaging to provide quality production builds Configure and maintain tools for generating, deploying and monitoring ANSYS product builds on Windows and Linux platforms within Cloud and On-Premises hardware infrastructure Develop, implement, and maintain fully automated build chains using Continuous Integration and Continuous Delivery (CI/CD) tools Be an expert in investigating, debugging, and resolving platform-specific build failures and issues in development, testing and production environment to maintain high system reliability Collaborate with members of the software development, infrastructure and testing teams to brainstorm best techniques to reduce and resolve complex technological infrastructure, build or packaging problems Measure and monitor metrics and alarms extensively to ensure the performance and reliability of systems. Execute acceptance tests to ensure product build stability and conformance to company quality standards Minimum Qualifications Bachelor s degree in Computer Science, Computer Engineering, or related field 3 to 5 Yrs of work experience in DevOps Experience with building C/C++ programs on Linux or Windows operating systems Experience with build systems including CMake and SCons Experience with build project configuration and dependency management Experience with programming languages such as C/C++, C#, Fortran, Java Experience with IDEs such as Microsoft Visual Studio and compiler suites such as Intel and GNU Experience with scripting languages such as Python, JavaScript, Windows batch and Linux shell scripts Experience with source code version control systems such as Git Experience with Azure DevOps for managing source code repositories, CI/CD pipelines and agents Experience with pipeline configuration languages like YAML Passion for crafting robust and efficient automated build systems with exceptional debugging and troubleshooting skills Extremely strong in written and interpersonal communication skills Preferred Qualifications and Skills Master s degree in Computer Science, Computer Engineering or related field Experience working with open-source software, software development tools, compilers, and packaging software Experience working with GitHub Experience with dependency management software such as Conan and NuGet Experience with virtualization and cloud technology such as Docker and container orchestration tools like Kubernetes Knowledge of cloud security Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. At Ansys, part of Synopsys, we want talented people of every background to feel valued and supported to do their best work. We consider all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Work in coordination with Test Lead & Project Manager to design and implement test scenarios that will insure product functionality and robustness. As a test engineer you will be responsible for analyzing the product requirements, designing test parameters, designing test procedures, writing code and scripts to automate tests, executing test cases manually and/or automatically through scripts In This Role, Your Responsibilities Will Be: Defining test strategies, writing detailed, comprehensive, and well-structured test plans for white as well as black box testing. Review requirements in details and ensure those are complete and testable. Develop positive and negative test cases. Develop automation scripts using open source tools or industry standard tools. [ Must Have] Participate in code reviews for the test scripts and automation framework Execute test cases manually and/or through automated scripts. Troubleshooting any errors and streamlining the testing procedures. Develop Product Domain Knowledge, participate / conduct in team meetings and Knowledge Sharing Sessions. Who You Are: Quickly and decisively takes action in fast-changing, unpredictable situations Good analytical and problem-solving skills. Ability to work in a complex team structure, including distributed (I. e. global) teams. Readiness to work in flexible work timing For This Role, You Will Need: Bachelor s Degree in Electronics / Electronics & Telecommunication / Instrumentation Engineering or M. Sc. Electronics with 2 to 4 year experience in Embedded Test and Software Quality Assurances. Understanding of Industrial communication protocol Strong problem solving / interaction management skills. Strong organizational and collaboration skills. Preferred Qualifications That Set You Apart: Experience in Industrial Protocol. Modbus, Bluetooth, Profinet , Ethernet-IP etc Hands on experience on one or more Programming Like C/C#/ Python Awareness of Test-Driven Development (TDD) ISTQB certification Our Culture & Commitment to You: . .

Work in coordination with Test Lead & Project Manager to design and implement test scenarios that will insure product functionality and robustness. As a test engineer you will be responsible for analyzing the product requirements, designing test parameters, designing test procedures, writing code and scripts to automate tests, executing test cases manually and/or automatically through scripts In This Role, Your Responsibilities Will Be: Defining test strategies, writing detailed, comprehensive, and well-structured test plans for white as well as black box testing. Review requirements in details and ensure those are complete and testable. Develop positive and negative test cases. Develop automation scripts using open source tools or industry standard tools. [ Must Have] Participate in code reviews for the test scripts and automation framework Execute test cases manually and/or through automated scripts. Build customized test setup and maintain the same. Troubleshooting any errors and streamlining the testing procedures. Prepare traceability report, bug log, and quality metrics. Develop Product Domain Knowledge, participate / conduct in team meetings and Knowledge Sharing Sessions. Take responsibility for multiple tasks in multiple projects simultaneously. Report / communicate project progress to stakeholders periodically. Adherence to CMMi / ISO quality process. Assume additional roles and responsibilities as required Who You Are: Quickly and decisively takes action in fast-changing, unpredictable situations Strong analytical and problem-solving skills. Ability to work in a complex team structure, including distributed (I. e. global) teams. Readiness to work in flexible work timings For This Role, You Will Need: Bachelor s Degree in Electronics / Electronics & Telecommunication / Instrumentation Engineering or M. Sc. Electronics with 5 to 7 year experience in Embedded Test and Software Quality Assurances. Knowledge of Industrial communication protocol Strong problem solving / interaction management skills. Strong organizational and collaboration skills. Familiar with Microsoft Office tools for effective communications and information management. Ability to organize, prepare and make compelling presentations. Preferred Qualifications That Set You Apart: Experience in Industrial Protocol. Modbus, Bluetooth, Profinet , Ethernet-IP etc Hands on experience on one or more Programming Like C/C#/ Python Awareness of Test-Driven Development (TDD) Agile Scrum certification Our Culture & Commitment to You: . .

At YASH, we re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire UIPath Professionals in the following areas : Key Responsibilities: Design and develop applications using LangChain to integrate Large Language Models (LLMs) for use cases like chatbots, summarization, and content generationBuild scalable back-end systems using Python, integrating LLMs with external APIs, databases, and vector storesImplement Retrieval-Augmented Generation (RAG) pipelines for context-aware responsesDevelop prompt templates and memory modules to optimize LLM interactionsCollaborate with cross-functional teams to deliver end-to-end AI solutionsEnsure performance, scalability, and reliability of deployed applications. Required Skills: Strong proficiency in Python and object-oriented programmingHands-on experience with LangChain, including chains, agents, memory, and callbacksFamiliarity with LLMs like GPT-4, Claude, PaLM, or open-source alternativesExperience with Vector Databases (e. g. , FAISS, Pinecone, Weaviate)Knowledge of AWS services (Lambda, S3, EC2) and workflow automation tools like N8nSolid understanding of software development lifecycle and best practices Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

About The Role Skills: OSS inventory / Cramer/ Granite, Network planning and configuration Java, Oracle PLSQL Developers with knowledge of 4G/ 5G networks. - Grade Specific GradeB2 Experince4 to 6 Years Loc BLR- Preferred HYD/GGN/CHN - optional

As a Project Manager at Morningstar, you will play a crucial role in ensuring the smooth operation within a dynamic and global environment, while adhering to Morningstar's development framework and operational best practices. Your primary responsibility will involve collaborating closely with product owners, various technology and business leads across Morningstar to drive and implement cross-team technical projects. An essential aspect of your role will be your proficiency in Scrum Agile methodologies, including conducting Sprint planning, daily stand-ups, and Sprint reviews. You are expected to excel in critical thinking throughout the project management cycle, imparting project management knowledge to others, and consistently seeking enhancements and efficiencies during the data collection process. This position is based at our Mumbai office. Your responsibilities will include conceptualizing, defining, and overseeing technology projects from inception to completion, working closely with development and business teams. You will actively participate in estimations alongside tech and business teams, utilizing standard templates. Communication and tracking of project progress to cross-functional teams will be a key aspect to ensure overall success. It will be your duty to monitor the progress of multiple projects against schedule, within budget, and meeting high-quality standards. Furthermore, you will be tasked with defining, managing, and refining the development process, as well as mentoring and educating team members and peers in project management methods and best practices. You will be instrumental in driving change where necessary to core operational processes, adapting to evolving client needs and competing priorities. Additionally, you will oversee major and minor platform releases globally, gather and share crucial lessons learned, and assist global teams in managing schedules and resources efficiently. Effective communication of objectives and updates to key stakeholders is paramount in this role. The ideal candidate for this position should possess over 10 years of overall Project Management experience, with 3-5 years leading projects in Java or .NET, JavaScript, and MS SQL/Oracle/MySQL, including a minimum of five years in large-scale system project management. A minimum of 2 years hands-on experience in working with Scrum methodology as a Scrum Master is required, along with familiarity with Kanban methodology. Experience in cloud computing and open source technologies will be considered advantageous. You should have a background in planning, executing, and monitoring Sprints of at least two weeks, and be well-versed in agile planning techniques like poker planning. Proficiency in reporting fortnightly and monthly project statuses to stakeholders is essential. As a self-starter, you should be comfortable implementing and executing Agile development processes and taking responsibility for project completion. Previous experience as a technical lead or development manager is highly desirable, along with proficiency in dealing with code, batch scripts, databases, and servers. Excellent communication, interpersonal, analytical, and management skills are a must, and experience using issue tracking software is preferred. Morningstar DBRS is a global credit ratings business, committed to empowering investor success through leading-edge technology and industry standards. As an equal opportunity employer, we value diversity and strive to provide a transparent and inclusive work environment. If you join our team, you will be part of a forward-thinking organization that values collaboration, innovation, and employee well-being. Our hybrid work environment offers flexibility and opportunities for both remote work and in-person collaboration, ensuring a balanced and engaging work experience.,

AI Developer/Lead Position Overview Lead the development and implementation of AI-powered solutions to enhance nonprofit operational efficiency. This role combines technical leadership with hands-on development, driving our aggressive 6-week implementation cycles and multi-modal development approach. Key Responsibilities: Technical Leadership ? Lead technical design and architecture decisions for AI applications across all classification categories ? Oversee PoC development, bug fixes, iteration, and production builds ? Implement and maintain open-source AI foundations (Llama, Haystack, LlamaGuard) ? Design and manage synthetic data pipelines for training and analytics ? Ensure deployment and go-live support for all AI applications Development Strategy Execution ? Drive accelerated creation using AI-powered development tools (Replit, Windsurf, Cursor) for rapid prototyping Manage complete development lifecycle: initial AI-assisted development ? manual code refinement ? user feedback integration ? production deployment ? Deploy applications directly on organizational servers with robust CI/CD processes ? Collaborate with global contributor network through GitHub ? Contribute insights back to the nonprofit technology community ?Integrate OSINT information into research and analytics workflows Application Development Focus Areas ? Basic automation for meeting reports, eCourts monitoring, administrative workflows ? Custom data management platforms replacing Excel-based systems ? Specialized LLM chatbots with domain knowledge across multiple functions ? Multi-modal tracking solutions (image, video, audio, location data) ? ML/NLP tools for hotspot prediction, translation services, investigative tools ? Compliance applications with automated DPDP and regulatory adherence ? Cybersecurity integration with secure communication frameworks Required Qualifications ? 5+ years experience in AI/ML development and deployment ? Proficiency in Python, JavaScript, React and modern AI frameworks ? Experience with LLM integration, fine-tuning, and safety models ? Hands-on experience with inference engines (like Groq/Cerebras) and API integration ? Strong background in server deployment and infrastructure management ? Experience with AI-assisted development tools (Replit, Cursor, Windsurf) ? Strong background in open-source development and GitHub collaboration ? Experience transitioning from rapid prototypes to production-ready applications ? Proven ability to deliver production applications in aggressive timelines ? Experience working with distributed international teams across multiple time zones Preferred Qualifications ? Experience with multi-modal AI applications ? Knowledge of both cloud-based inference services and self-hosted model deployment ? DevOps experience with server management and deployment automation

Job Description: 1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem b. Improve Model accuracy to deliver greater business impact c. Estimate business impact due to deployment of model 2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge 3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch 5. Experience in using Deep learning models with text, speech, image and video data a. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc b. Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV c. Knowledge of State of the art Deep learning algorithms 6. Optimize and tune Deep Learnings model for best possible accuracy 7. Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau 8. Work with application teams, in deploying models on cloud as a service or on-prem a. Deployment of models in Test / Control framework for tracking b. Build CI/CD pipelines for ML model deployment 9. Integrating AI&ML models with other applications using REST APIs and other connector technologies 10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

About Marvell . Your Team, Your Impact Marvell is a leading provider of innovative technologies, including ultra-fast read channels, high-performance processors, leading edge transceivers, highly efficient analog designs, and powerful cryptographic engines. These solutions address all segments of the hard disk drive (HDD) and solid-state drive (SSD) electronics markets, providing complete solutions including controllers, product firmware, and reference board designs. Many of the same technologies have been utilized in Marvell system solutions products, powering PCs, servers, cloud, and enterprise systems. What You Can Expect Develop next-generation switching and DPU-based solutions tailored for enterprise and cloud-scale environments. Implement and optimize control plane and data plane functionalities for switch platforms and DPUs. Enhance Layer 2/3 networking capabilities including VLANs, VXLAN, L2GRE, MPLS, BGP, OSPF, and multicast for scalable, resilient infrastructure. Design and optimize high-performance switching fabrics with advanced packet processing, QoS, congestion control, and telemetry. Build and integrate robust security features such as 802. 1X, MACsec, NAC, micro-segmentation, and threat detection mechanisms. Contribute to open-source initiatives (e. g. , SONiC, SAI, OVS, DPDK, ODP, Linux kernel) and help define future networking standards. Collaborate with hardware teams to bring up new Switch SoC platforms and ensure seamless hardware-software integration. Participate in code reviews, design discussions, and continuous integration processes. What Were Looking For Bachelor s/Masters degree in Computer Science, Electrical Engineering, or a related field with 4 20 years of relevant experience. Proficiency in C, C++, Python, and Lua scripting. Deep understanding of Ethernet switching, Layer 2/3 protocols, DPUs, and networking standards. Understanding of RoCE, RDMA, and DPU concepts. Strong hands-on experience with SONiC, SAI, Cumulus Linux, OVS, DPDK, ODP, and DPU technologies. Familiarity with ARM multicore SoC architecture and high-speed packet I/O. Solid grasp of networking constructs such as ACLs, LPM, EM, routing, MAC learning, QoS, bridging, and load balancing. Exposure to cloud networking, SDN, or network virtualization technologies. Strong analytical and problem-solving abilities. Excellent communication and collaboration skills, especially in distributed team environments. Proven ability to independently plan, execute, and deliver complex technical projects. A passion for continuous learning and thriving in fast-paced, innovation-driven settings. Additional Compensation and Benefit Elements With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it s like to work at Marvell, visit our Careers page. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. #LI-RS1

Some careers shine brighter than others. If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist In this role, you will: Design, develop, and deploy machine learning models and algorithms especially in classical algorithms to solve business problems. Preprocess and analyze large datasets to extract meaningful insights. Build and optimize data pipelines (Extract data from Oracle, Elasticsearch, storage buckets, etc. ) for training and deploying ML models. Collaborate with ML engineers, and stakeholders to integrate ML solutions into production systems. Research and implement state-of-the-art machine learning techniques and tools. Document processes, experiments, and results for reproducibility and knowledge sharing. Stay up to date with tech, prototype with and learn new technologies, proactive in technology communities Develop & maintain ML models for Credit monitoring domain. E. g. Perpetual credit monitoring Develop innovative solutions in areas such as machine learning, Natural Language Processing (NLP), advanced and semantic information search, extraction, induction, classification and exploration Create products that provide a great user experience along with high performance, security, quality, and stability Requirements Minimum 10 years of software development experience. 5+ years of relevant experience in ML technologies mentioned below. Excellent problem-solving and communication skills. Strong experience in Python (3. x). Excellent working knowledge on scikit-learn, classical ML Model development Good experience of SQL, Oracle/PostgreSQL, any NoSQL database, File buckets. Experience in using data from data lake Excellent knowledge and demonstrable experience in using open-source NLP packages such as NLTK, Word2Vec, SpaCy. Experience in setting up supervised & unsupervised learning models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization Solid understanding of ML algorithms, ML statistics, and data structures. Excellent interpersonal, presentation and analytical skills. Familiarity with MLOps practices for model deployment and monitoring. Experience working in banking domain with exposure credit monitoring Experience in automating the continuous integration/continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement Location : Pune and Bangalore

Some careers shine brighter than others. If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist The individual in this role as ML Engineer will be accountable for Design, develop, and deploy machine learning models and algorithms to solve business problems. Below are the key responsibilities / activities that need to be planned, attested and executed under the remit of this role by working effectively and collaboratively with the different delivery teams. In this role, you will: Design, develop, and deploy machine learning models and algorithms to solve business problems. Preprocess and analyze large datasets to extract meaningful insights. Build and optimize data pipelines (Extract data from Oracle, Elasticsearch, storage buckets, etc. ) for training and deploying ML models. Collaborate with data scientists, software engineers, and stakeholders to integrate ML solutions into production systems. Monitor and maintain deployed models to ensure performance and accuracy over time. Research and implement state-of-the-art machine learning techniques and tools. Document processes, experiments, and results for reproducibility and knowledge sharing. Stay up to date with tech, prototype with and learn new technologies, proactive in technology communities Develop & maintain ML models for Credit monitoring domain. E. g. Perpetual credit montiroing Develop innovative solutions in areas such as machine learning, Natural Language Processing (NLP), advanced and semantic information search, extraction, induction, classification and exploration Create products that provide a great user experience along with high performance, security, quality, and stability Requirements Minimum 10 years of software development experience. 5+ years of relevant experience in ML technologies mentioned below. Excellent problem-solving and communication skills. Strong experience in Python (3. x). Excellent working knowledge on scikit-learn, TensorFlow / PyTorch, Docker/Kubernetes. Good experience of SQL, Oracle/PostgreSQL, any NoSQL database, File buckets. Experience in using data from data lake Excellent knowledge and demonstrable experience in using open-source NLP packages such as NLTK, Word2Vec, SpaCy. Experience in setting up supervised & unsupervised learning models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization Solid understanding of ML algorithms, ML statistics, and data structures. Excellent interpersonal, presentation and analytical skills. Familiarity with MLOps practices for model deployment and monitoring. Experience working in banking domain with exposure credit monitoring Experience in automating the continuous integration/continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement Location : Pune and Bangalore

Some careers shine brighter than others. If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist The individual in this role as ML Engineer will be accountable for Design, develop, and deploy machine learning models and algorithms to solve business problems. Below are the key responsibilities / activities that need to be planned, attested and executed under the remit of this role by working effectively and collaboratively with the different delivery teams. In this role, you will: Design, develop, and deploy machine learning models and algorithms to solve business problems. Preprocess and analyze large datasets to extract meaningful insights. Build and optimize data pipelines (Extract data from Oracle, Elasticsearch, storage buckets, etc. ) for training and deploying ML models. Collaborate with data scientists, software engineers, and stakeholders to integrate ML solutions into production systems. Monitor and maintain deployed models to ensure performance and accuracy over time. Research and implement state-of-the-art machine learning techniques and tools. Document processes, experiments, and results for reproducibility and knowledge sharing. Stay up to date with tech, prototype with and learn new technologies, proactive in technology communities Develop & maintain ML models for Credit monitoring domain. E. g. Perpetual credit montiroing Develop innovative solutions in areas such as machine learning, Natural Language Processing (NLP), advanced and semantic information search, extraction, induction, classification and exploration Create products that provide a great user experience along with high performance, security, quality, and stability Requirements Minimum 10 years of software development experience. 5+ years of relevant experience in ML technologies mentioned below. Excellent problem-solving and communication skills. Strong experience in Python (3. x). Excellent working knowledge on scikit-learn, TensorFlow / PyTorch, Docker/Kubernetes. Good experience of SQL, Oracle/PostgreSQL, any NoSQL database, File buckets. Experience in using data from data lake Excellent knowledge and demonstrable experience in using open-source NLP packages such as NLTK, Word2Vec, SpaCy. Experience in setting up supervised & unsupervised learning models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization Solid understanding of ML algorithms, ML statistics, and data structures. Excellent interpersonal, presentation and analytical skills. Familiarity with MLOps practices for model deployment and monitoring. Experience working in banking domain with exposure credit monitoring Experience in automating the continuous integration/continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement Location : Pune and Bangalore

You belong to the top echelon of talent in your field. At one of the world s most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role. As an Infrastructure Engineer III at JPMorgan Chase within the Chief Technology Office team, you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope. Job Responsibilities Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving the data and systems running at scale, and ensures end to end monitoring of applications Resolves most nuances and determines appropriate escalation path Executes conventional approaches to build or break down technical problems Drives the daily activities supporting the standard capacity process applications Partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses Considers upstream/downstream data and systems or technical implications Be accountable for making significant decisions for a project consisting of multiple technologies and applications Adds to team culture of diversity, equity, inclusion, and respect. Required Qualifications, Capabilities, and Skills Formal training or certification on Infrastructure Engineering concepts and 3+ years applied experience Hands on streaming data applications with data pipeline open source products, and experience in Hadoop data platform; strong critical thinking, communication, and teamwork skills are essential Collaborate with line of business users and technology teams to design, develop, and test full stack cloud data solutions. Lead and ensure the craftsmanship, security, availability, resilience, and scalability of solutions. Drive Innovation, conduct proof of concept, and implement cutting-edge technologies. Serve as an expert practitioner in one or more technology domains, solving complex and mission-critical problems. Design, analyze, develop, test, debug, and deliver software enhancements and new products. Preferred Qualifications, Capabilities, and Skills Bachelors degree in Computer Science or Engineering. Familiar with Linux systems. Hadoop administration experience. Proficient in managing Hadoop distributions (e. g. , Hortonworks, Cloudera) and performance tuning. Experience with Java, Python, and Scala. Experience working with cloud platforms. Ability to collaborate with high-performing teams and individuals to accomplish common goals in cross-functional teams. You belong to the top echelon of talent in your field. At one of the world s most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role. As an Infrastructure Engineer III at JPMorgan Chase within the Chief Technology Office team, you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope. Job Responsibilities Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving the data and systems running at scale, and ensures end to end monitoring of applications Resolves most nuances and determines appropriate escalation path Executes conventional approaches to build or break down technical problems Drives the daily activities supporting the standard capacity process applications Partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses Considers upstream/downstream data and systems or technical implications Be accountable for making significant decisions for a project consisting of multiple technologies and applications Adds to team culture of diversity, equity, inclusion, and respect. Required Qualifications, Capabilities, and Skills Formal training or certification on Infrastructure Engineering concepts and 3+ years applied experience Hands on streaming data applications with data pipeline open source products, and experience in Hadoop data platform; strong critical thinking, communication, and teamwork skills are essential Collaborate with line of business users and technology teams to design, develop, and test full stack cloud data solutions. Lead and ensure the craftsmanship, security, availability, resilience, and scalability of solutions. Drive Innovation, conduct proof of concept, and implement cutting-edge technologies. Serve as an expert practitioner in one or more technology domains, solving complex and mission-critical problems. Design, analyze, develop, test, debug, and deliver software enhancements and new products. Preferred Qualifications, Capabilities, and Skills Bachelors degree in Computer Science or Engineering. Familiar with Linux systems. Hadoop administration experience. Proficient in managing Hadoop distributions (e. g. , Hortonworks, Cloudera) and performance tuning. Experience with Java, Python, and Scala. Experience working with cloud platforms. Ability to collaborate with high-performing teams and individuals to accomplish common goals in cross-functional teams.

At YASH, we re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire MDM Professionals in the following areas : Experience 4-6 Years Job Title: Profisee MDM Developer. Experience Required : 4 to 6 Years. Employment Type : Full-Time / Contract. Job Summary: We are seeking a skilled and motivated Profisee MDM professional to join our data management team. The ideal candidate will have hands-on experience with Profisee MDM and a strong understanding of master data management principles, data governance, and data integration. You will play a key role in designing, implementing, and maintaining MDM solutions that support business operations and data quality initiatives. Key Responsibilities: Design and configure Profisee MDM solutions including data models, business rules, workflows, and user interfaces. Collaborate with business and IT stakeholders to gather requirements and define master data domains. Implement data quality rules and validation processes to ensure data accuracy and consistency. Integrate MDM solutions with enterprise systems using ETL tools and APIs. Monitor and maintain MDM performance, troubleshoot issues, and optimize configurations. Support data governance initiatives and ensure compliance with data standards and policies. Provide training and support to end-users and contribute to documentation and best practices. Required Skills: 4 6 years of experience in Master Data Management, with at least 2 3 years of hands-on experience in Profisee MDM . Strong understanding of data modeling, data governance, and data quality principles. Proficiency in SQL and experience with ETL tools and data integration techniques. Familiarity with enterprise data architecture and systems (e. g. , ERP, CRM). Excellent problem-solving, communication, and collaboration skills. Required Technical/ Functional Competencies Domain/ Industry Knowledge: Basic knowledge of customers business processes- relevant technology platform or product. Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members. Requirement Gathering and Analysis: Working knowledge of requirement management processes and requirement analysis processes, tools and methodologies. Able to analyse the impact of change requested / enhancement / defect fix and identify dependencies or interrelationships among requirements and transition requirements for the engagement. Product/ Technology Knowledge: Working knowledge of technology product/platform standards and specifications. Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation. Analyse various frameworks/tools, review the code and provide feedback on improvement opportunities. Architecture tools and frameworks: Basic knowledge of architecture Industry tools & frameworks Able to analyse available tools and frameworks for review by the SME and plan for tool configurations and development. Architecture concepts and principles: Basic knowledge of architectural elements, SDLC, methodologies. Able to apply various architectural constructs in the projects and identify various architectural patterns and implement. Analytics Solution Design: High-level awareness of a wide range of core data science/analytics techniques, their advantages, disadvantages, and areas of application. Tools & Platform Knowledge: Familiar with wide range of mainstream commercial and open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application. Required Behavioral Competencies Accountability: Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team. Collaboration: Participates in team activities and reaches out to others in team to achieve common goals. Agility: Demonstrates a willingness to accept and embrace differing ideas or perceptions which are beneficial to the organization. Customer Focus: Displays awareness of customers stated needs and gives priority to meeting and exceeding customer expectations at or above expected quality within stipulated time. Communication: Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision. Drives Results: Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets. Certifications Good To Have Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

We are hiring a Lead, Data Engineer to join our team. At Kroll, we are building a strong Data practice with artificial intelligence, machine learning practice and analytics, and we re looking for you to join our growing portfolio. You will be involved in designing, building, and integrating data from various sources and working with an advanced engineering team and professionals from the world s largest financial institutions, law enforcement, and government agencies. The day-to-day responsibilities include but not limited to: Design and build organizational data infrastructure and architecture Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes for data delivery. Choose the best tools/services/resources to build robust data pipelines for data ingestion, connection, transformation, and distribution Design, develop and manage ELT applications. Working with global teams to deliver fault tolerant, high quality data pipelines Requirements: Advanced Experience writing ETL/ELT jobs Advanced Experience with Azure, AWS and Databricks Platform (Mostly data related services) Advanced Experience with Python, Spark ecosystem (PySpark + Spark SQL), SQL database Ability to develop REST APIs, Python SDKs or Libraries, Spark Jobs, etc Proficiency in using open-source tools, frameworks, python libraries like FastAPI, Pydantic, Polars, Pandas, PySpark, Deltalake Tables, Docker, Kubernetes, etc Experience in Lakehouse Medallion architecture, Data Governance, Data Pipeline Orchestration Excellent communication skills Ability to conduct data profiling, cataloging, and mapping for technical data flows Ability to work with an international team Desired Skills: Strong cloud architecture principles: compute, storage, networks, security, cost savings, etc. Advanced SQL and Saprk query/data pipeline performance tuning skills. Experience and knowledge of building Lakehouse using technologies including Azure Databricks, Azure Data Lake, SQL, PySpark etc. Programing paradigm like OOPPs, Async programming, Batch processing Knowledge of CI/CD, Git About Kroll In a world of disruption and increasingly complex business challenges, our professionals bring truth into focus with the Kroll Lens. Our sharp analytical skills, paired with the latest technology, allow us to give our clients clarity not just answering all areas of business. We value the diverse backgrounds and perspectives that enable us to think globally. As part of One team, One Kroll, you ll contribute to a supportive and collaborative work environment that empowers you to excel. Kroll is the premier global valuation and corporate finance advisor with expertise in complex valuation, disputes and investigations, MA, restructuring, and compliance and regulatory consulting. Our professionals balance analytical skills, deep market insight and independence to help our clients make sound decisions. As an organization, we think globally and encourage our people to do the same. Kroll is committed to equal opportunity and diversity, and recruits people based on merit. In order to be considered for a position, you must formally apply via careers.kroll.com #LI-Remote #LI-AT1