3031 Open Source Jobs - Page 37

About Company Agilysys is well known for its long heritage of hospitality-focused technology innovation. The Company delivers modular and integrated software solutions and expertise to businesses seeking to maximize Return on Experience (ROE) through hospitality encounters that are both personal and profitable. Over time, customers achieve High Return Hospitality by consistently delighting guests, retaining staff and growing margins. Customers around the world include branded and independent hotels; multi-amenity resort properties; casinos; property, hotel and resort management companies; cruise lines; corporate dining providers; higher education campus dining providers; food service management companies; hospitals; lifestyle communities; senior living facilities; stadiums; and theme parks. The Agilysys Hospitality Cloud™ combines core operational systems for property management (PMS), point-of-sale (POS) and Inventory and Procurement (I&P) with Experience Enhancers™ that meaningfully improve interactions for guests and for employees across dimensions such as digital access, mobile convenience, self-service control, personal choice, payment options, service coverage and real-time insights to improve decisions. Core solutions and Experience Enhancers are selectively combined in Hospitality Solution Studios™ tailored to specific hospitality settings and business needs. Agilysys operates across the Americas, Europe, the Middle East, Africa, Asia-Pacific, and India with headquarters located in Alpharetta, GA. For more information visit www.agilysys.com. Mode: Work from Office Responsibilities Understand and review of requirements, specifications and technical design documents to come up with comprehensive well-structured test scenarios and test cases. Design, develop and execute automation scripts using open source tools. Perform different test like functional, regression, installation, integration, database, migration, upgrade, and compatibility. Identify, record and track bugs to closure. Collaborate with cross product teams and understand cross product integration to develop scripts. Collaborate with product/program management, development/QA peers to ensure complete test coverage. Requirements Bachelor’s degree with 1-5 years of experience in the field of software manual testing. Hands-on experience in test scenarios/cases preparation, reporting defects in tool, preparing flow based testing documents, integration flow documents. Hands-on experience in Functional, Database, Integration, Installation, Migration, Upgrade, Compatibility testing. Exhibit a strong passion towards software testing and has the zeal to learn new skills. Strong communication skills (verbal and written) and ability to work with corporate stakeholders as well and technical experts. Experience in Core Java programming, TestNG, Maven, Jenkins is a plus Other Desired Experience Good Exposure with Hospitality Domain is a Plus

Overview Automation lead(7 to 8yrs of Automation experience) responsibile for providing creating a framework based on the landscape of the applications, deeper understanding on open source technologies. he/she should be able to oversee automation testing activities across Web, API, and Mobile applications. The ideal candidate will have strong expertise in Selenium, Playwright, and BDD frameworks like Cucumber. This role involves designing robust automation frameworks, mentoring junior team members, and ensuring high-quality delivery in fast-paced agile environments Lead and drive automation strategy and implementation across Web, API, and Mobile platforms. Design, develop, and maintain scalable test automation frameworks using Selenium , Playwright , and Cucumber (BDD) . Collaborate with developers, QA, and product teams to identify test cases suitable for automation. Integrate automation tests into CI/CD pipelines for continuous testing. Conduct code reviews and ensure adherence to automation best practices. Analyze test results and report bugs using tools like JIRA or Azure DevOps. Mentor junior automation engineers and support skill development. Stay up to date with emerging test automation trends and tools. Responsibilities 78 years of hands-on experience in automation testing. Strong expertise in Selenium WebDriver and Playwright for functional test automation. Proficiency with BDD frameworks such as Cucumber or SpecFlow . Experience in API automation using tools like RestAssured , Postman , or similar. Exposure to mobile automation using Appium or equivalent tools. Solid understanding of Java Experience with test management tools (e.g., JIRA, TestRail, Zephyr). Working knowledge of CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps). Excellent problem-solving and communication skills. Ability to manage priorities and work independently or as part of a team Essential skills

We are looking for a data scientist who will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver AI/ML based Enterprise Software Products. Develop solutions related to machine learning, natural language processing and deep learning & Generative AI to address business needs. Your primary focus will be in applying Language/Vision techniques, developing llm based applications and building high quality prediction systems. Analyze Data: Collaborate with cross-functional teams to understand data requirements and identify relevant data sources. Analyze and preprocess data to extract valuable insights and ensure data quality. Evaluation and Optimization: Evaluate model performance using appropriate metrics and iterate on solutions to enhance performance and accuracy. Continuously optimize algorithms and models to adapt to evolving business requirements. Documentation and Reporting: Document methodologies, findings, and outcomes in clear and concise reports. Communicate results effectively to technical and non-technical stakeholders. Work experience background required Experience building software from the ground up in a corporate or startup environment. Essential skillsets required: 5-15 years experience in software development Educational Background: Strong computer science and Math/Statistics Experience with Open Source LLM and Langchain Framework and designing efficient prompt for LLMs. Proven ability with NLP and text-based extraction techniques. Experience in Generative AI technologies, such as diffusion and/or language models. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Familiarity with cloud computing platforms such as GCP or AWS. Experience to deploy and monitor model in cloud environment. Experience with common data science toolkits, such as NumPy, Pandas etc Proficiency in using query languages such as SQL Good applied statistics skills, such as distributions, statistical testing, regression, etc. Experience working with large data sets along with data modeling, language development, and database technologies Knowledge in Machine Learning and Deep Learning frameworks (e.g., TensorFlow, Keras, Scikit-Learn, CNTK, or PyTorch), NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development. Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly. Excellent verbal and written communication skills

Data Engineering Data Engineer Strong Middle India Hybrid Apply now Refer a friend now Explore the future of FinTech! With superb engineering, we help the finance industry to change just in one click! Join the global Intellias team to develop top-of-the-line solutions for the world s leading FinTech companies. What project we have for you Nomo Fintech is a unique, Sharia-compliant digital banking and wealth proposition in the heart of London. We are not just another digital bank offering seamless banking experience with certainty, security and simplicity but more. Our mission is to help people sustain and grow their wealth for future generations. We do this by solving problems people have instead of just selling boring banking products. We achieve this in a socially responsible way, driven by innovation and backed by a leading financial institution who are in it for the long run. What you will do Work as part of a team to develop and implement procedures for secure and effective data management. Implement data definitions, data mappings, and provide support across ongoing integration activities. Work collaboratively with our Product Owners and Software Engineering teams to understand and define application and platform data requirements. Demonstrate an in-depth understanding of database structures and principles. Be an advocate for the work done by the team and share achievements both at a technical and business level with the wider technology group. Translate non-technical requirements to technical requirements Provide clean, transformed data ready for analysis Maintain data documentation and definitions Train business users on how to use data visualisation tools What you need for this Working as part of our Data Engineering team, you ll be working closely with internal stakeholders to implement new technology and strategies to further leverage data across the business. You will help further develop the vision on how data and metrics can support nomos ongoing growth, whilst also providing expert advice and best practices in data life-cycle management. You ll have previous experience of working within a Data Engineering function designing, managing, and supporting the associated toolsets and infrastructure to ensure the platforms remain highly automated, self-servicing and able to scale as we continue to grow. Required Technical Knowledge: Good working knowledge of AWS data analytics services (Kinesis, Redshift, DataDog) Experience with scripting languages such as Python Familiar with serverless, event-driven technology such as AWS Lambda Experience with AWS S3 bucket and AWS Glue Experience working with both SQL and NoSQL databases Familiar working with Gitlab CI/CD to support the deployment of applications across cloud infrastructure Good working knowledge of JIRA and Confluence Familiar working with cloud log management and monitoring data platforms Good understanding of Terraform The ability and appetite to learn and use a wide variety of open-source technologies and tools Nice to have: Extensive hands-on experience working with AWS DynamoDB Experience working with AWS Athena Familiarity with AWS Lake Formation Experience with RESTful services and GraphQL Experience troubleshooting app What it s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills AWSGlue AWSLambda AWSS3Bucket Gitlab NoSQL Python Redshift SQL Terraform

Learn more about our culture and how we make our employees happier through The Sprinklr Way. Job Description Responsibilities Set Research Direction: Define and execute a forward-looking ML research agenda aligned with company strategy and business objectives and technological innovation. Drive Key Research in relevant areas of Sprinklr: Self-learning AI Agents, Auto Evaluation of AI Agents, Taxonomy discovery and quality, End-to-end voice models, Multi- linguality , Multi-modality, Domain-Specific finetuning and alignment , etc. Advance the State of the Art: Guide research initiatives in areas such as deep learning, generative models, NLP, and reinforcement learning. Encourage and support filing patents and publications in top-tier venues ( NeurIPS , ICML, ACL, CVPR, IEEE etc.). Bridge Research and Product: Collaborate with engineering and product teams to transition research into real-world applications. Champion best practices in experimentation, reproducibility, and scalability. Lead and Grow the Team: Mentor and manage a high-performing team of ML researchers and engineers. Foster a culture of curiosity, rigor, and excellence. Act as a Thought Leader: Stay ahead of emerging trends and shape the companys position in the global AI landscape. Evangelism : Serve as a subject matter expert internally and externally. Represent the company in academic and industry events, talks, and panels. Qualifications Deep expertise in modern ML techniques, especially large-scale learning, generative models, or foundational models. Experi enced with synthetic dataset generation for production and quantization. PhD in Computer Science, Machine Learning, or a related field. 8 + years of experience in ML/AI, including 4 + years in a leadership role. Proven track record of impactful research contributions, including publications, patents, or open-source work. Strong knowledge of cloud platform technologies and MLops tools such as CUDA, K8s, Docker, PyTorch , TensorRT , etc. Strong leadership and communication skills, with experience managing senior researchers and cross-functional collaboration. Ability to align research investments with business strategy and measurable outcomes. Why Youll Love Sprinklr: Were committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the worlds largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we re more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr s EEO Policy and EEO is the Law.

Whats this role about? Design and Development : Create, develop, and deploy RPA bots using UiPath. Process Analysis : Work closely with stakeholders to analyze and define business processes for automation. Testing and Quality Assurance : Conduct unit testing and end-to-end testing of RPA bots to ensure quality and functionality. Maintenance and Troubleshooting : Monitor and maintain deployed RPA bots, troubleshoot issues, and implement fixes promptly. Documentation : Maintain clear and concise documentation for all automation processes, including bot design, configuration, and validation. Training and Support : Provide training and support to end-users on the effective use of RPA bots. Collaboration : Collaborate with IT and business teams to ensure the RPA infrastructure is secure and stable. Heres how youll contribute: Youll do this by: Proven experience as an RPA developer, preferably with UiPath. 4+ years of IT development experience 3 years of experience in RPA UIPath development In-depth knowledge and exposure of RPA and UIPath tool along with Orchestrator Experience throughout the entire RPA project lifecycle Certifications in UIPath Able to handle entire process independently. Knowledge of Agile Methodology Must have RDBMS knowledge or open source DB Experience in working on any Process/Sub-process workflows like AP, AR, Insurance, Banking, Healthcare AI and ML knowledge will be an added advantage. Core Skills: Experience with other RPA tools like Power Automate or Blue Prism. Familiarity with cloud services such as AWS or Azure. Certification in RPA UiPath Desired Skills: How we d like you to lead: Good Communication Skill, Lead level capabilities Advantage Zensar We are a technology consulting and services company with 11, 800+ associates in 33 global locations. More than 130 leading enterprises depend on our expertise to be more disruptive, agile and competitive. We focus on conceptualizing, designing, engineering, marketing, and managing digital products and experiences for high-growth companies looking to disrupt through innovation and velocity. Zensar Technologies is an Equal Employment Opportunity (EEO) and Affirmative Action Employer, encouraging diversity in the workplace. Please be assured that we will consider all qualified applicants fairly, regardless of race, creed, color, ancestry, religion, sex, national origin, citizen status, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veterans status. Zensar is a place where you are free to express yourself in an environment that values individuality, nurtures development and is mindful of wellbeing. We put our people and customers at the center of everything that we do. Our core values include: Putting people first Client-centricity Collaboration Grow. Own. Achieve. Learn. with Zensar

Summary At Novartis, were reimagining medicine through the transformative power of AI and data science. As Director, AI Product Innovations (iLabs), you will be at the forefront of building scalable, intelligent products that reshape how we engage with healthcare professionals, accelerate decision-making, and personalize commercial strategies globally. This is a high-impact leadership role within the Data Digital & Technology (DD&IT) organization, where you ll drive the intersection of AI/GenAI innovation, data science, and global commercial execution. You ll not only shape the product vision you ll lead a talented team, connect deep technology with real-world impact, and help Novartis deliver better outcomes, faster About the Role AI Product Leadership : Define and execute the product strategy for AI/GenAI-powered solutions across commercial domains including field force effectiveness, omnichannel engagement, patient services, content enablement, and intelligent automation. Data Science Integration : Partner with data scientists to translate models (e.g., LLMs, NLP, machine learning) into scalable, user-centric products. Ensure rigorous data-driven experimentation, evaluation, and optimization. Team & Talent Development : Build, lead, and mentor a global team of product managers, technologists, and AI specialists. Foster a high-performance culture grounded in innovation, agility, and continuous learning. Innovation Pipeline Ownership : Identify and incubate high-value AI/GenAI opportunities. Run rapid prototyping, lead pilots, and drive industrial-scale adoption across countries and business units. Cross-Functional Collaboration : Work closely with engineering, architecture, commercial strategy, field teams, and legal/compliance to ensure delivery of robust, secure, and compliant AI solutions. Business Impact & Adoption : Define success metrics, drive adoption, and measure ROI of AI products. Ensure solutions deliver clear, data-validated value across markets and therapeutic areas. Technology Thought Leadership : Act as an internal and external champion for responsible AI innovation in pharma. Stay at the cutting edge of GenAI tools, open-source models, and emerging frameworks Essential Requirements: 10+ years of experience in product management, digital transformation, or AI innovation, with at least 3-5 years leading AI/ML or GenAI products at scale Strong applied experience with machine learning, large language models (LLMs), NLP, vector search, and prompt engineering Proven ability to partner with data science and engineering to design, validate, and deploy AI solutions Innovation mindset to drive experiments and evaluate go/no go decision for PoCs Solid understanding of pharma commercial operations, including CRM platforms, omnichannel engagement, field force tech, and analytics Demonstrated success in building and leading high-performing product teams across geographies and functions Strong storytelling, stakeholder management, and executive communication skills Bachelor s degree in computer science, Data Science, Engineering, or a related technical field; Master s, MBA, or PhD is a plus Desirable Requirements: Applied Mathematics Artificial Intelligence (AI) Generative AI AWS(Amazon Web Services). Data Science Python (Programming Language). R (Programming Language). Product Innovation Product Management Benefits and Rewards: Read our handbook to learn about all the ways we ll help you thrive personally and professionally:

Project Role : Full Stack Engineer Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset. Must have skills : Java Full Stack Development Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Full Stack Engineer, you will be responsible for developing and engineering the end-to-end features of a system, from user experience to backend code. Your typical day will involve collaborating with cross-functional teams to design, implement, and optimize innovative solutions that enhance client services. You will leverage new technologies and methodologies to address complex business challenges, all while maintaining a cloud-first and agile mindset. Engaging in continuous learning and adapting to evolving technologies will be key components of your role, ensuring that you remain at the forefront of industry advancements. Roles & Responsibilities:- Writing high-quality, testable, maintainable, and well-documented code.- Work with the Scrum team to develop small to complex features and functionality sticking to sprint timelines and prescribed development processes based on Agile.- Own features and cloud production issues until resolution.- Manage conflicting priorities and still focus on the task at hand.- Contribute to innovation initiative Professional & Technical Skills: - Expertise in core Java and web application development.- Experience with writing Protractor, Karma, Junit test code, building microservices, and on open source frameworks like Spring boot.- Experience in ORM technologies like JPA, Hibernate, and HQL/SQL queries, and OOAD,design patterns, anti-patterns, and Working knowledge with open source frameworks and latest web technologies.- Exposure to microservices architecture, SaaS, multi-tenancy.- Sound knowledge of Computer Science fundamentals, data structures, design patterns, and architecture principles- Should be exposed to application profiling and identifying and addressing performance bottlenecks- Participate in critical customer/production escalations Additional Information:- The candidate should have minimum 4 years of experience in Java Full Stack Development.- BE/ B.Tech./ M.Tech./ MCA (full -time) from Premier Universities.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

We are looking for a Storage Services Software engineer to join the block storage group. You will be a member of a team that builds the next generation block storage capabilities. You will work closely with a variety of teams and architects including the networking team, HW team and external customers. You will define the Software architecture and implementation of the most advanced storage services! Services that will need to meet extreme performance and scalability demands! We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow. At NVIDIA, we work, think and learn as a team. We thrive in a deeply strong environment, and were passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play. Take a leading role in the design, development, and implementation of an innovative, high-performance, distributed, software defined block storage solution for the world s first AI factory, cloud computing company. What you ll be doing: Own the end-to-end design and development, challenging existing paradigms and exploring novel approaches. Collaborate closely with cross-functional teams to define and implement robust storage algorithms, data management strategies, and distributed systems principles. Drive architecture, integration, and alignment with cloud-native platforms. Optimize system performance and reliability through in-depth analysis and low-level tuning. Work closely to the latest industry trends and contribute to open source projects What we need to see: B. S. or M. S. degree in Computer Science or Electrical Engineering. 8+ years experience in development Excellent communication skills and a collaborative mindset. Perseverance and determination in debugging complex problems. Proven professional experience in designing and developing distributed systems; advantage for experience in block storage and networking systems, advantage for cloud environments. Strong proficiency in C/C++ programming. Experienced with Linux Kernel internals including block subsystem, IO stack, memory management, and scheduling. Familiarity with storage protocols and standards, especially NVMe. Knowledge of networking fundamentals and experience in Linux-based networking environments. Familiarity with RDMA technologies, including Infiniband, RoCE, or iWARP, and experience with RDMA programming models, control and data paths. Knowledge of cloud computing concepts, including virtualization, scalability, and data management.

Join our dynamic Global Security team as an Analyst in the Global Intelligence Open Source Collections Cell (OSCC), where youll play a pivotal role in safeguarding our firms people, assets, events, and reputation. As an OSINT expert, youll leverage cutting-edge open source, third-party, and vendor platforms to identify and evaluate potential threats, assessing their likelihood and impact on both tactical and strategic levels. Job Summary As an Analyst Global Intelligence Open Source Collections Cell (OSCC) within the Global Security team, you will be responsible for conducting OSINT monitoring and analysis by leveraging open source, third party, and vendor platforms to evaluate threats that may impact the firms people, assets, events, and reputation; their likelihood; and their potential tactical and operational impact and strategic implications. You will report on tactical monitoring to include event security, disruptive incident/crisis monitoring, and Workplace Violence cases. Secondary responsibilities may include covering other Global Security stakeholder cases - Global Intelligence, Investigations, Physical Security, Global Security Operations Centers, and others by request. You will have a high degree of analytic ability, resourcefulness and drive, critical thinking skills, and exposure to tactical and operational security. You must have the ability to address complex and multidimensional research challenges with innovative, rigorous, and inter-disciplinary analytical methods to produce proactive and reliable assessments. You must be technically savvy, able to deal with and work through ambiguity, exhibit flexibility needed to shift workload in accordance with changing priorities, be comfortable leading in a sometimes stressful and fast-paced, priority-driven environment, and be prepared to brief senior departmental leadership. You must be a highly motivated self-starter who can operate within a global team. This role is for a night shift focused on U. S. security issues and incident monitoring. Job responsibilities Conduct OSINT research and monitoring in advance of and during high security incidents; utilizing social media, public records, and third-party databases to build leads, escalate emerging issues, and provide investigative support. Support senior management updates and escalations, mostly on tactical and operational threats of concern, following escalation workflows and ensuring coherent and comprehensive hand-off to the next shift. Deliver analytical assessments in clear, succinct, and appropriately caveated products that project credibility, convey recommendations, and reinforce key messages. Collaborate with key stakeholders within and without the department and firm to develop assessment that integrate disparate and seemingly innocuous data/information Required qualifications, capabilities and skills 2+ years relevant work experience in performing OSINT research, intelligence analysis, or investigative work. Experience monitoring social media for domestic/global real-time all-hazard threats and incidents; analyzing potential threats and risks and disseminating error free reports with limited supervisory review/edits. Experience escalating issues in a time-sensitive manner to the appropriate parties. Handle high-level of pressure associated with complex projects and programs in a demanding customer environment. Confident and experienced in handling executive communication (written and verbal) with senior-level management. Experience leveraging vendors/technology. Independent thinker with strong analytical and problem-solving skills. Proficiency with MS Office suite. Undergraduate degree in Political Science, Psychology, International Affairs, Cyber Security, or related discipline Preferred qualifications, capabilities and skills Experience in law enforcement, military, or prior private sector risk intelligence experience Join our dynamic Global Security team as an Analyst in the Global Intelligence Open Source Collections Cell (OSCC), where youll play a pivotal role in safeguarding our firms people, assets, events, and reputation. As an OSINT expert, youll leverage cutting-edge open source, third-party, and vendor platforms to identify and evaluate potential threats, assessing their likelihood and impact on both tactical and strategic levels. Job Summary As an Analyst Global Intelligence Open Source Collections Cell (OSCC) within the Global Security team, you will be responsible for conducting OSINT monitoring and analysis by leveraging open source, third party, and vendor platforms to evaluate threats that may impact the firms people, assets, events, and reputation; their likelihood; and their potential tactical and operational impact and strategic implications. You will report on tactical monitoring to include event security, disruptive incident/crisis monitoring, and Workplace Violence cases. Secondary responsibilities may include covering other Global Security stakeholder cases - Global Intelligence, Investigations, Physical Security, Global Security Operations Centers, and others by request. You will have a high degree of analytic ability, resourcefulness and drive, critical thinking skills, and exposure to tactical and operational security. You must have the ability to address complex and multidimensional research challenges with innovative, rigorous, and inter-disciplinary analytical methods to produce proactive and reliable assessments. You must be technically savvy, able to deal with and work through ambiguity, exhibit flexibility needed to shift workload in accordance with changing priorities, be comfortable leading in a sometimes stressful and fast-paced, priority-driven environment, and be prepared to brief senior departmental leadership. You must be a highly motivated self-starter who can operate within a global team. This role is for a night shift focused on U. S. security issues and incident monitoring. Job responsibilities Conduct OSINT research and monitoring in advance of and during high security incidents; utilizing social media, public records, and third-party databases to build leads, escalate emerging issues, and provide investigative support. Support senior management updates and escalations, mostly on tactical and operational threats of concern, following escalation workflows and ensuring coherent and comprehensive hand-off to the next shift. Deliver analytical assessments in clear, succinct, and appropriately caveated products that project credibility, convey recommendations, and reinforce key messages. Collaborate with key stakeholders within and without the department and firm to develop assessment that integrate disparate and seemingly innocuous data/information Required qualifications, capabilities and skills 2+ years relevant work experience in performing OSINT research, intelligence analysis, or investigative work. Experience monitoring social media for domestic/global real-time all-hazard threats and incidents; analyzing potential threats and risks and disseminating error free reports with limited supervisory review/edits. Experience escalating issues in a time-sensitive manner to the appropriate parties. Handle high-level of pressure associated with complex projects and programs in a demanding customer environment. Confident and experienced in handling executive communication (written and verbal) with senior-level management. Experience leveraging vendors/technology. Independent thinker with strong analytical and problem-solving skills. Proficiency with MS Office suite. Undergraduate degree in Political Science, Psychology, International Affairs, Cyber Security, or related discipline Preferred qualifications, capabilities and skills Experience in law enforcement, military, or prior private sector risk intelligence experience

Job Responsibilities: Develop and integrate Generative AI models into applications using APIs and open-source frameworks. Design, build, and optimize AI-driven data applications (Full Stack). Build AI-powered applications using LangChain, OpenAI APIs, or RAG-based architectures. Work on building AI agents and applications. Requirements xperience with Generative AI (LLMs), application building using LLMs, Python, Streamlit, and React. Strong problem-solving skills and ability to work with open-source frameworks. Knowledge of AI model fine-tuning, NLP, computer vision, or multimodal AI applications. Familiarity with RESTful APIs, cloud computing (AWS, GCP, Azure), and databases. Hands-on experience with GenAI frameworks such as LangChain, LlamaIndex, RAG, Graph RAG, etc. Experience working with datasets and data preprocessing techniques. Benefits Working at Modern First and foremost, our value system is sacred to us HEAT: Humility, Empathy, Accountability and Transparency. Beyond this, we are fond of individuals who are curious, love solving problems and can see the larger picture. We love to take a leap of faith on potential. If you believe you havent had the chance to do your lifebest work, Modern is the place for you. Modern embraces competition for great talent. We have been able to get great talent onboard owing to the attractive compensation and benefits we provide, in addition to the upside we share with all our employees in the form of ESOPs. Moreover, our ESOP policies are highly employee-friendly replicating ethos of some of the best Silicon Valley tech startups. We are committed to making sure our employees create significant value for themselves.

Were seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Senior Associate within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required qualifications, capabilities and skills Expert in at least one of the following areas Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve ones skills Preferred qualification, capabilities and skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e.g., Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc. Were seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Senior Associate within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required qualifications, capabilities and skills Expert in at least one of the following areas Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve ones skills Preferred qualification, capabilities and skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e.g., Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc.

Senior Software Engineer Ruby On Rails (LLM Evaluation & Repository Validation) 07/03/2025 08:07:58 Senior Ruby On Rails Engineer (LLM Evaluation & Repository Validation) Senior Software Engineer Ruby On Rails (LLM Evaluation & Repository Validation) Location: Remote Employement Type: Contractual We are looking for experienced Ruby On Rails software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. You should have experience working with well-maintained, widely-used repos with 5000+ stars. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality. You ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research. What does day-to-day look like: Analyze and triage GitHub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects. Required Skills: Strong experience with Ruby On Rails Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus. Nice to Have: Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With AquSag: Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.

Senior Software Engineer Python (LLM Evaluation Repository Validation) Senior Software Engineer Python (LLM Evaluation Repository Validation) Noida , India Remote Contractual Employment Type: We are looking for experienced Python software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. You should have experience working with well-maintained, widely-used repos with 5000+ stars. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality. You ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research. What does day-to-day look like: Analyze and triage GitHub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects. Required Skills: Strong experience with Python Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus. Nice to Have: Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With AquSag: Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. What does day-to-day look like: Required Skills: Nice to Have: Perks of Freelancing With AquSag:

Pre Sales Engineer ( Fresher) Company Elision Technologies Pvt Ltd Elision is a trusted name in offering unified telecom solutions to corporates and enterprises Nowadays, businesses need to stay connected with their customers, partners, vendors, and teams. Our company enables businesses to meet this mandatory need of staying connected with people via their preferred communication channels. We are renowned for adding innovative and technology-powered features to simplify and automate workflow, communication, and customer lifecycle with simple-to-use telephony solutions. We empower our team members, so they receive the much needed work culture that enables us to live up to our motto, We Deliver What We Commit . Job Details Presales Executive VoIP / Dialer / Asterisk (Fresher) Key Responsibilities: Understand and learn core VoIP concepts, SIP protocols, and Asterisk-based dialers (like VICIdial / Dialshree). Assist senior team members in creating technical proposals, solution documentation, and presentations. Support solution walkthroughs and product demonstrations. Coordinate with internal teams to gather technical requirements and provide pre-sales support. Maintain a knowledge base of frequently asked client queries and solutions. Document and track activities using CRM or internal tools. Provide different product demos/poc/testing/training Required Skills: Basic understanding of VoIP concepts (SIP, RTP, IP Telephony). Good communication and presentation skills. Interest in open-source telephony platforms like Asterisk or FreePBX. Ability to understand client requirements and map them to technical features. Knowledge of networking fundamentals (IP, firewall basics, etc.) is a plus. Familiarity with MS Office / Google Suite.

Product Management:Understanding product details, pricing, and inventory management, especially for product content management.Develop and Implement Strategies:Create and execute comprehensive digital marketing strategies aligned with business goals, focusing on driving traffic, engagement, and conversions. Manage and Optimize Channels:Manage and optimize e-commerce channels like the website, social media platforms, email marketing, and paid advertising campaigns (e.g., Google Ads, social media ads). Content Creation and Curation:Develop engaging content for various platforms, including website copy, blog posts, social media updates, email campaigns, and other digital assets. SEO and SEM:Implement and manage search engine optimization (SEO) and search engine marketing (SEM) strategies to improve organic search rankings and drive paid traffic. Social Media Management:Manage social media presence, create engaging content, run targeted campaigns, and analyze engagement metrics. Email Marketing:Develop and execute email marketing campaigns, including list building, segmentation, and automation, to nurture leads and drive sales. Performance Analysis and Reporting:Track and analyze key metrics like website traffic, conversion rates, ROI, and other relevant KPIs to measure the effectiveness of marketing initiatives. Budget Management:Manage marketing budgets effectively, ensuring optimal allocation of resources across different channels. Local SEO & On-Page Optimization: Develop and implement local SEO strategies to boost small business visibility, optimizing website content for local search.Technical SEO & Site Audits: Conduct regular technical audits to ensure website health, speed, and search engine crawlability.Keyword & Competitor Analysis: Research relevant keywords and analyze competitor strategies to identify growth opportunities.Content Strategy & Creation: Develop and guide content plans, ensuring engaging, high-quality, and SEO-optimized content creation (including with AI tools).Backlink Acquisition: Identify and secure relevant backlink opportunities with strategic anchor text and target pages.Performance Monitoring & Reporting: Track key SEO metrics, analyze site traffic, and report on performance to identify optimization areas.Cross-functional Collaboration: Work with content, design, and development teams to embed SEO best practices throughout website projects.Industry Trend Monitoring: Stay current with SEO trends and algorithm updates, proactively recommending new strategies.Stay Updated:Stay up-to-date with the latest digital marketing trends, tools, and technologies to maintain a competitive edge. Customer Journey Optimization:Understanding the customer journey and optimizing touchpoints to improve the online shopping experience.Familiarity with e-commerce platforms like Shopify, WooCommerce, or Magento and Website analysis tools, such as Google Analytics, Google Search Console, and SEMRush\/Ahref.Data Analysis:Proficiency in using web analytics tools and other data analysis techniques to monitor sales and identify areas for improvement. Strong communication, negotiation, and relationship-building skills.Self-motivated, target-driven, and independent.Good to HaveEngineering \/ Technical Background or Deep interest in Technology. Knowledge of HTML, CSS, and JavaScript as they relate to SEO best practices.Strong understanding of on-page optimization, technical SEO, keyword research, link building, and content strategy.Experience with managing and optimizing business listings such as Google Business Profile and Apple Maps Business Connect.Excellent analytical, problem-solving, and communication skills. Roles & Responsibilities: Close interaction with the Hardware and Senior Firmware Development team during the course of product development Generate algorithms, flow charts and state model diagrams for implementing customer requirements in firmware Coordinate with team members to get the state model diagrams implemented in code Work on modern technologies (Wifi, BLE, IoT etc) on latest controllers - ARM, Arduino, Raspberry Pi, ESP8266, ESP32, NodeMCU, etc Participation in code review, technical reviews and ensure the quality of deliverables Ensuring SDLC process compliance during requirements gathering, architecture design, implementation, and verification Working effectively in an Agile scrum team and continuously improving the team\u2019s performance Understand high level Board bring-up requirements with Linux kernel and to come up with the overall solution. Setup and own Yocto \/ Buildroot Linux build environment and all the customization activities. Experience & Skill: Excellent C \/ C++ programming skills. Strong experience in Object Oriented Design. OOPS and OOAD. Must have proven experience in programming embedded systems on ARM, Linux, Arduino, Raspberry Pi, ESP8266, ESP32, NodeMCU, etc. Should be Familiar with - , ADC, Timer & Counters, Interrupt, Clocks, RTC & Bit Banging etc. Linux Expertise: Min 2years of experience in developing embedded Linux platform \u2013 specifically on Yocto\/Buildroot, OS, Board support package, drivers, and application Scripting Expertise: Experience in Shell \/ Perl\/ Python scripting Good at debugging of firmware and hardware related problems Able to work independently and also a Good Team player. Professional attitude, Work Ethics. Self-motivated, good verbal and written communication. Experience Level: 2-6 years in Embedded Engineering. Freshers with exceptional internship\/project\/freelance experience are also eligible! Excellent analytical, problem solving, debugging skills & interpretation skills Electronics\/Electronics & Telecommunication\ / Electrical\ / Computer Science Engineers with Passion for IoT, Interest in Experimenting, solving technical challenges, having go-getter attitude Expertise in using Source control tools (git\/gitlab)

Note: Apply only if you are available for face to face interview and comfortable to Work in office. *NO WORK FROM HOME* Job Location : Spaze ITech Park, Sec 49, Gurgaon Experience : 6 Months to 1 Year The ideal candidate is a highly resourceful and innovative developer with extensive experience in the layout, design and coding of websites specifically in PHP format. You must also possess a strong knowledge of web application development using PHP programming language and MySQL Server databases. KEY ROLES & RESPONSIBILITIES: Work With Development Teams And Product Managers To Ideate Software Solutions. Design Client-Side And Server-Side Architecture Build The Front-End Of Applications Through Appealing Visual Design Build Features And Applications With A Mobile Responsive Design. Write Effective APIs. Test Software To Ensure Responsiveness And Efficiency. Troubleshoot, Debug And Upgrade Software. DESIRED CANDIDATE PROFILE: Minimum 6 Months of experience as a PHP Developer . Good understanding with hands-on experience on PHP- Laravel & CodeIgniter framework. Excellent relational database skills with MySQL. Should have exposure of any Open-Source E-commerce CMS: WordPress, Shopify, and Magento will be an advantage. Working knowledge of front-end technologies like HTML5, CSS3, and JavaScript/jQuery Understanding of responsive design frameworks such as bootstrap. Must be good in communication Must be a self-motivated, smart working person with good attitude to work in teams and individually Qualifications 6 Months of experience in web development and software design Expertise in front-end technologies (HTML, JavaScript, CSS), PHP frameworks, and MySQL databases Ideal Profile You have at least 6 Months of experience ideally in Digital Marketing within IT industry. Experience within would be a strong advantage. You possess strong analytical skills and are comfortable dealing with numerical data You are a strong team player who can manage multiple stakeholders You are highly goal driven and work well in fast paced environments Whats on Offer? ", "hiringOrganization": {"@type": "Organization", "

Roles & Responsibilities : About the Role: We are seeking a seasoned Qt Expert/Solution Consultant to join Bosch Software and Digital Solutions portfolio team. This senior position requires an industry veteran who will drive Qt-based solutions, lead presales activities, and build our Qt service practice for various clients across domains. The role focuses primarily on Automotive and Healthcare domains, combining technical excellence with business acumen to deliver high-value solutions to our clients. Key Responsibilities: Spearhead technical solutions and architectures using Qt technology stack for complex client requirements Lead presales activities and technical discussions with customers, providing expert consultation on Qt-based solutions Build and mentor a Qt services delivery team, establishing best practices and driving technical excellence Guide clients through strategic technology transitions, including Qt5 to Qt6 migrations Develop and execute technical strategies aligned with business objectives Establish architecture and design principles for large-scale Qt implementations Drive innovation in HMI solutions, particularly in Automotive and Healthcare domains Provide thought leadership through technical publications, presentations, and community engagement

Were seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Lead within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required qualifications, capabilities and skills Expert in at least one of the following areas Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve ones skills Preferred qualification, capabilities and skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e. g. , Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc. Were seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Lead within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required qualifications, capabilities and skills Expert in at least one of the following areas Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve ones skills Preferred qualification, capabilities and skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e. g. , Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc.

0px> In one sentence Responsible for MS360 implementation and customization for account teams/customers on AWS, GCP and Azure cloud. Work closely with customer technical teams as MS360 professional consultant and bring feedback to platform/foundation teams to evolve Amdocs offering All you need is. . . Bachelor s degree in computer science or equivalent 10+ years experience of software development experience Hands on experience in microservices development, design and deployment. Kubernetes and public cloud experience Knowledge of DevOps tools, load balancing, distributed systems, software and network security will be a great plus Enthusiasm to explore new technologies Fluent English and good global communication skills What will your job look like You will work as a professional services expert on MS360 and Platform Engineering. Leading MS360 project implementation and customization for account teams and customers. You will work on latest cloud native technology, Industry Open Source projects and technical trends. You will be encouraged to actively look for innovation and continuous improvement, efficiency in all assigned tasks. You will be working in fast short development cycles to deliver value to Amdocs customers Who are we Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5. 00 billion in fiscal 2024. For more information, visit www. amdocs. com Why you will love this job: Work with us on large scale software programs that are both significant and exciting! We provide the ability to gain valuable experience working alongside our exceptionally diverse team to collaborate across accounts/regions to provide a single voice Get the opportunity to work with the industries most advanced and sophisticated technologies We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!

Job Description Senior Software Test Architect We are looking for an experienced Quality Assurance and Test Automation Lead having broad experience in setting up QA and test automation environments and to be a hands-on advocate and process leader to drive continuous integration and deployment strategies with a DevOps philosophy. This role will involve unit and workflow testing of new features, maintenance of shipped functionality, documentation of testing and testing practices, resolving customer issues, managing defects, and management of automated tests both functional and non-functional. You will work on a multi-discipline team to create incremental feature improvements to the product and drive initiatives related to improving quality, stability, reliability, and usability of software deliverables. You will accomplish this by leveraging your quality assurance mindset combined with your technical chops for test automation and understanding of DevOps . You will use tools and procedures for validating and will be creating and executing test plans and analysing test results with the objective of finding defects during the software development process. So, If you have experience with microservices, distributed/SOA architecture, platforming, cloud computing, and mobility and are excited about leveraging TDD/BDD and developing CI/CD pipeline standards, tools, processes and deployments to drive efficiently innovative projects for the Revit Electrical Advanced Electrical Design solutions, this is the job for you Responsibilities Perform the role of a Lead Software Development Engineer in Test [ Lead SDET] Set the path and collaborate with other technical staff on the implementation, deployment, and maintenance of the Automation Testing within Continuous Integration/Continuous Deployment pipelines Be a leader in enabling teams to use BDD using tooling such as Specflow/Gherkin/ /Cucumber framework. Maintain tools used in the Automation development including source control, test management and release systems Experience managing and upkeeping test infrastructure Encourage best practices that drive engineering excellence and focus on quality first mindset. Set and communicate automation strategies and processes for web services, APIs, middleware, UI etc. Evaluate (commercial, open-source or proprietary) testing tools and test frameworks which can be leveraged within a project Create and execute plans at the product or code level to test new and existing features automatically and manually Evaluate and implement software test automation tools and tooling standards Build automation frameworks to increase reuse and reduce effort Increase automation cycle execution run times and decrease manual analysis of results Keep automation current, flexible and designed to work within a continuous integration / deployment framework Develop methods and procedures to create automation test data and data refresh capabilities. Collaborate with developers, QA analysts and other SETs to identify and prioritize testing strategies where process or test automation best achieves the testing goals; by balancing return on investment, maximized test coverage and minimized risk Recommend meaningful and automated dynamic reports and metrics that measure the success of automation efficiency and quality, and provide action items for continuous improvements Enthusiasm to share knowledge, mentor teammates and actively engage in various agile team meeting Minimum Qualifications 8+ years of Software Testing & Test Automation experience with hands-on experience developing, enhancing and maintaining test automation framework. Proven track record of value addition done to the Product / Solutions through strong QA processes Strong technical expertise in test automation for Web-based applications preferably using Selenium [ Python]. Strong technical expertise in test automation for Windows-based applications. Must have hands-on experience with WinAppDriver, Appium Someone who can be a path setting leader through individual contribution in Testing Strong experience in Manual Testing and Test Automation methodologies Strong in OOPs concepts and hands on experience in designing, maintaining automation frameworks Experience in non-functional testing types such as performance, API, security testing Experience in Agile development environment is preferred Knowledge of different types of Software Architectures and how they work Qualifications Senior Software Test Architect We are looking for an experienced Quality Assurance and Test Automation Lead having broad experience in setting up QA and test automation environments and to be a hands-on advocate and process leader to drive continuous integration and deployment strategies with a DevOps philosophy. This role will involve unit and workflow testing of new features, maintenance of shipped functionality, documentation of testing and testing practices, resolving customer issues, managing defects, and management of automated tests both functional and non-functional. You will work on a multi-discipline team to create incremental feature improvements to the product and drive initiatives related to improving quality, stability, reliability, and usability of software deliverables. You will accomplish this by leveraging your quality assurance mindset combined with your technical chops for test automation and understanding of DevOps . You will use tools and procedures for validating and will be creating and executing test plans and analysing test results with the objective of finding defects during the software development process. So, If you have experience with microservices, distributed/SOA architecture, platforming, cloud computing, and mobility and are excited about leveraging TDD/BDD and developing CI/CD pipeline standards, tools, processes and deployments to drive efficiently innovative projects for the Revit Electrical Advanced Electrical Design solutions, this is the job for you Responsibilities Perform the role of a Lead Software Development Engineer in Test [ Lead SDET] Set the path and collaborate with other technical staff on the implementation, deployment, and maintenance of the Automation Testing within Continuous Integration/Continuous Deployment pipelines Be a leader in enabling teams to use BDD using tooling such as Specflow/Gherkin/ /Cucumber framework. Maintain tools used in the Automation development including source control, test management and release systems Experience managing and upkeeping test infrastructure Encourage best practices that drive engineering excellence and focus on quality first mindset. Set and communicate automation strategies and processes for web services, APIs, middleware, UI etc. Evaluate (commercial, open-source or proprietary) testing tools and test frameworks which can be leveraged within a project Create and execute plans at the product or code level to test new and existing features automatically and manually Evaluate and implement software test automation tools and tooling standards Build automation frameworks to increase reuse and reduce effort Increase automation cycle execution run times and decrease manual analysis of results Keep automation current, flexible and designed to work within a continuous integration / deployment framework Develop methods and procedures to create automation test data and data refresh capabilities. Collaborate with developers, QA analysts and other SETs to identify and prioritize testing strategies where process or test automation best achieves the testing goals; by balancing return on investment, maximized test coverage and minimized risk Recommend meaningful and automated dynamic reports and metrics that measure the success of automation efficiency and quality, and provide action items for continuous improvements Enthusiasm to share knowledge, mentor teammates and actively engage in various agile team meeting Minimum Qualifications 8+ years of Software Testing & Test Automation experience with hands-on experience developing, enhancing and maintaining test automation framework. Proven track record of value addition done to the Product / Solutions through strong QA processes Strong technical expertise in test automation for Web-based applications preferably using Selenium [ Python]. Strong technical expertise in test automation for Windows-based applications. Must have hands-on experience with WinAppDriver, Appium Someone who can be a path setting leader through individual contribution in Testing Strong experience in Manual Testing and Test Automation methodologies Strong in OOPs concepts and hands on experience in designing, maintaining automation frameworks Experience in non-functional testing types such as performance, API, security testing Experience in Agile development environment is preferred Knowledge of different types of Software Architectures and how they work Schedule: Full-time Req: 009HIQ

The Opportunity Are you an energetic Product Manager passionate about driving innovation in cloud native and Kubernetes managementIf you thrive in fast-paced environments and are motivated by the challenge of overcoming hurdles, this role is for you! Youll play a key role in shaping the future of our cloud native infrastructure solutions, working alongside talented cross-functional teams to create products that help businesses handle the complex problems involved in managing Kubernetes environments across heterogeneous hybrid environments. Your ability to stay focused, push forward, and get things done will be critical as you tackle complex problems and drive product success. As a Product Manager, you wont just be part of a globally distributed teamyoull be leading the charge in driving innovation. Were seeking someone who is ready to take full ownership of projects, tackle challenges head-on, and keep pushing forward to achieve success. This role offers the freedom to explore new ideas, make a meaningful impact, and shape the future of enterprise adoption of cutting-edge open-source innovation. If youre driven, energetic, and focused on delivering results, wed love for you to join us and help build the next generation of resilient, cutting-edge infrastructure. About the Team Our team is dedicated to building products that allow enterprises to take advantage of the most innovative products in open source bringing the usability, manageability and security that enterprise users expect. As the Nutanix product set evolves from its origins to a more modern, containerized offering, this team is designing and building the next generation products that we and our customers will build upon. Our mission is to deliver an intelligent and secure cloud native platform that unleashes innovation, all while fostering a dynamic, collaborative environment that encourages creative problem-solving and operational efficiency. You will report to the Director of Product Management, who empowers team members to take ownership of their work and develop actionable plans independently. This approach focuses on outcome-based performance rather than just outputs, enabling team members to grow and adapt to challenges. The work setup is primarily on-site, requiring the new hire to be based in the Bengaluru office for at least 2 to 3 days a week, ideally every work day. This role does not require extensive travel, occasional trips may be required for team meetings, conferences, or customer engagements. The primary focus will remain on local collaboration and project execution with an engineering team located in the Bengaluru office. Your Role Youll define and execute roadmaps to ensure our customers have smooth adoption and upgrade experiences for Nutanixs cloud-native solutions. Youll proactively connect with internal and external customers and partners to gather feedback and define requirements. Youll turn the gathered feedback and requirements into an actionable Product Requirements Document (PRDs) and keep it updated as required. Youll work closely with development, UX/UI teams, and program managers to drive the execution of the roadmap. Youll define, measure, and report on the success of product initiatives, ensuring they align with business goals. Youll create impactful field and partner enablement materials by collaborating with marketing and support teams. Youll regularly analyze competitive landscape and customer needs to inform product direction and strategy. Youll engage in innovative projects to explore new opportunities beyond current tasks while ensuring alignment with organizational goals. Youll maintain strong communication with both technical and non-technical stakeholders to facilitate collaboration. What You Will Bring 4+ years of experience in product management, engineering, or a related field, specifically with enterprise datacenter products, along with a total of 7+ years of overall work experience. Must have a strong familiarity with the cloud native ecosystem, including Kubernetes, the Cluster API, and the environments in which it runs (including both on-premises and public cloud environments). Have a proven track record of managing and delivering enterprise-grade infrastructure solutions, with a strong focus on detail and aligning them to improve customer operational efficiency. Proficiency in requirements gathering, prioritization, and conflict management. Ability to analyze technical challenges and develop effective solutions Strong communication skills to engage with both technical and non-technical stakeholders. Demonstrated focus on outcomes and delivery rather than outputs. Empathy and understanding towards engineers and team members to foster a collaborative environment.Education Bachelors or Masters in Computer Science or related field is strongly desired.

We are looking for a React Native developer interested in building performant mobile apps on both the iOS and Android platforms. You will be responsible for architecting and building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required. * Responsibilities :- Build pixel-perfect, buttery-smooth UIs across both mobile platforms. Leverage native APIs for deep integrations with both platforms. Diagnose and fix bugs and performance bottlenecks for performance that feels native. Reach out to the open source community to encourage and help implement mission-critical software fixesReact Native moves fast and often breaks things. Maintain code and write automated tests to ensure the product is of the highest quality. Transition existing React web apps to React Native. * Requirements and skills :- Firm grasp of JavaScript. Language and its nuances, including ES6+ syntax. Knowledge of programming. Ability to write well-documented, clean Javascript code. Rock solid at working with third-party dependencies and debugging dependency conflicts. Familiarity with native build tools, like XCode, and Gradle. Understanding of REST APIs, the document request model, and offline storage. Experience with automated testing suites

We have an exciting and rewarding opportunity for you to work closely with the business, in face paced environment using bleeding edge technology As a Software Engineer III at JPMorgan Chase within the Commercial and Investment Bank s Markets Tech Group, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will be tasked to help modernize of our Trade capture platform using stream processing technology to achieve high throughput, high availability and low latency critical for our business success across multiple asset class. Job responsibilities Gather requirement from Product owner and stakeholders. Build, test and deploy the new platform using state of the art proprietary technology from JPMorgan Chase and open-source technology. Write documentation. Train and on-board our production management group. Provide third level support. Take active part in managing and planning the book of work. Participate to code reviews and promote best practices. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Degree in Computer Science, Engineering, Mathematics or equivalent and 5+ years of applied experience Strong Analytical and problem-solving skills. Strong technology background with experience in object-oriented programming, test driven development. Good interpersonal skills and able to work effectively in a global team. Self-starter and willing to work in a dynamic environment with constantly evolving priorities Knowledge of Python. Experience with SecDB / Athena / Quartz platform. Experience with FIX protocol and reactive technology. FX or commodities Business knowledge. Knowledge of Event Streaming platform Kinesis / Kafka We have an exciting and rewarding opportunity for you to work closely with the business, in face paced environment using bleeding edge technology As a Software Engineer III at JPMorgan Chase within the Commercial and Investment Bank s Markets Tech Group, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will be tasked to help modernize of our Trade capture platform using stream processing technology to achieve high throughput, high availability and low latency critical for our business success across multiple asset class. Job responsibilities Gather requirement from Product owner and stakeholders. Build, test and deploy the new platform using state of the art proprietary technology from JPMorgan Chase and open-source technology. Write documentation. Train and on-board our production management group. Provide third level support. Take active part in managing and planning the book of work. Participate to code reviews and promote best practices. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Degree in Computer Science, Engineering, Mathematics or equivalent and 5+ years of applied experience Strong Analytical and problem-solving skills. Strong technology background with experience in object-oriented programming, test driven development. Good interpersonal skills and able to work effectively in a global team. Self-starter and willing to work in a dynamic environment with constantly evolving priorities Knowledge of Python. Experience with SecDB / Athena / Quartz platform. Experience with FIX protocol and reactive technology. FX or commodities Business knowledge. Knowledge of Event Streaming platform Kinesis / Kafka

PS- Global Competency Center Hewlett Packard Enterprise Job Title - Lead Solutions Architect - AI Infrastructure & Private Cloud Job Description: We are seeking an experienced Lead Solutions Architect with deep expertise in AI/ML infrastructure , High Performance Computing (HPC) , and container platforms to join our dynamic team focused on delivering HPE Private Cloud AI and Enterprise AI Factory Solutions . This role is instrumental in architecting, deploying, and optimizing private cloud environments that leverage HPE s co-developed solutions with NVIDIA, as well as validated HPE reference architectures, to support enterprise-grade AI workloads at scale. The ideal candidate will bring strong technical expertise in AI infrastructure, container orchestration platforms, and hybrid cloud environments, and will play a key role in delivering scalable, secure, and high-performance AI platform solutions powered by HPE GreenLake and NVIDIA AI Enterprise technologies. Key Responsibilities: Leadership and Strategy: Provide delivery assurance and serve as the lead design authority to ensure seamless execution of Enterprise grade container platform including Red Hat OpenShift and SUSE Rancher, HPE Private Cloud AI and HPC/AI solutions, fully aligned with customer AI/ML strategies and business objectives. Align solution architecture with NVIDIA Enterprise AI Factory design principles, including modular scalability, GPU optimization, and hybrid cloud orchestration. Oversee planning, risk management, and stakeholder alignment throughout the project lifecycle to ensure successful outcomes. Solution Planning and Design: Architect and optimize end-to-end solutions across container orchestration and HPC workload management domains, leveraging platforms such as Red Hat OpenShift, SUSE Rancher, and/or workload schedulers like Slurm and Altair PBS Pro. Ensure seamless integration of container and AI platforms with the broader software ecosystem, including NVIDIA AI Enterprise, as well as open-source DevOps, AI/ML tools, and frameworks. Opportunity assessment: Lead technical responses to RFPs, RFIs, and customer inquiries, ensuring alignment with business and technical requirements. Conduct proof-of-concept (PoC) engagements to validate solution feasibility, performance, and integration within customer environments. Assess customer infrastructure and workloads to recommend optimal configurations using validated reference architectures from HPE and strategic partners such as Red Hat, NVIDIA, SUSE, along with components from the open-source ecosystem. Innovation and Research: Stay current with emerging technologies, industry trends, and best practices across HPC, Kubernetes, container platforms, hybrid cloud, and security to inform solution design and innovation. Customer-centric mindset: Act as a trusted advisor to enterprise customers, ensuring alignment of AI solutions with business goals. Translate complex technical concepts into value propositions for stakeholders Team Collaboration: Collaborate with cross-functional teams, including subject matter experts in infrastructure components such as HPE servers, storage, networking and data science teams to ensure cohesive and integrated solution delivery. Mentor technical consultants and contribute to internal knowledge sharing through tech talks and innovation forums. Required Skills: 1. HPC & AI Infrastructure Extensive knowledge of HPC technologies and workload scheduler such as Slurm and/or Altair PBS Pro, Proficient in HPC cluster management tools, including HPE Cluster Management (HPCM) and/or NVIDIA Base Command Manager. Experience with HPC cluster managers like HPE Cluster Management (HPCM) and/or NVIDIA Base Command Manager. Good understanding with high-speed networking stacks (InfiniBand, Mellanox) and performance tuning of HPC components. Solid grasp of high-speed networking technologies, such as InfiniBand and Ethernet. 2. Containerization & Orchestration Extensive hands-on experience with containerization technologies such as Docker, Podman, and Singularity Proficiency with at least two container orchestration platforms: CNCF Kubernetes, Red Hat OpenShift, SUSE Rancher (RKE/K3S), Canonical Charmed Kubernetes. Strong understanding of GPU technologies, including the NVIDIA GPU Operator for Kubernetes-based environments and DCGM (Data Center GPU Manager) for GPU health and performance monitoring. 3.Operating Systems & Virtualization Extensive experience in Linux system administration, including package management, boot process troubleshooting, performance tuning, and network configuration. Proficient with multiple Linux distributions, with hands-on expertise in at least two of the following: RHEL, SLES, and Ubuntu. Experience with virtualization technologies, including KVM and OpenShift Virtualization, for deploying and managing virtualized workloads in hybrid cloud environments. 4. Cloud, DevOps & MLOps Solid understanding of hybrid cloud architectures and experience working with major cloud platforms in conjunction with on-premises infrastructure. Familiarity with DevOps practices, including CI/CD pipelines, infrastructure as code (IaC), and microservices-based application delivery. Experience integrating and operationalizing open-source AI/ML tools and frameworks, supporting the full model lifecycle from development to deployment. Good understanding of cloud-native security, observability, and compliance frameworks, ensuring secure and reliable AI/ML operations at scale. 5. Networking & Protocols Strong understanding of core networking principles, including DNS, TCP/IP, routing, and load balancing, essential for designing resilient and scalable infrastructure. Working knowledge of key network protocols, such as S3, NFS, and SMB/CIFS, for data access, transfer, and integration across hybrid environments. 6. Programming & Automation Proficiency in scripting or programming languages such as Python and Bash. Experience automating infrastructure and AI workflows. 7. Soft Skills & Leadership Excellent problem-solving, analytical thinking, and communication skills for engaging both technical and non-technical stakeholders. Proven ability to lead complex technical projects from requirements gathering through architecture, design, and delivery. Strong business acumen with the ability to align technical solutions with client challenges and objectives. Qualifications: Bachelor s/master s degree in computer science, Information Technology, or a related field. Professional certifications in AI Infrastructure, Containers and Kubernetes are highly desirable such as RHCSA, RHCE, CNCF certifications (CKA, CKAD, CKS), NVIDIA-Certified Associate - AI Infrastructure and Operations Typically, 8-10 years of hands-on experience in architecting and implementing HPC, AI/ML, and container platform solutions within hybrid or private cloud environments, with a strong focus on scalability, performance, and enterprise integration. ",