Gen AI IT is a global leader in industrial packaging products and services. We are committed to providing innovative solutions that enhance our customers productivity and sustainability. Our team is dedicated to excellence, and we strive to create a collaborative and inclusive work environment. Position Overview: It is seeking a skilled and motivated AI Engineer to join our dynamic team. The ideal candidate will have 2 to 4 years of experience in developing and deploying GenAI and AI/ML solutions to production. This requires hands on experience with no code, low code, and SDKs to build AI systems. The candidate should be proficient in working with data platforms such as Microsoft Azure, Snowflake, GenAI platform such as Azure AI Foundry, Azure OpenAI, Copilot Studio, and ChatGPT. The ability to manage small projects with minimal supervision and a working knowledge of the Agile methodology are essential. The candidate must be comfortable with ambiguity and a fastpaced PoC (Proof of Concept) delivery schedule. KeyResponsibilities: Focus on designing and developing proof of concepts (PoCs) and demonstrate the solution on a tight schedule. Utilize GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes. Work with data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory to build agentic workflow Embed/integrate GenAI agents (Copilot agents) into business platforms such as Workday, Teams, etc. Manage small to medium-sized projects with minimal supervision. Apply Agile methodology to ensure efficient project delivery. Make informed decisions under uncertainty and adapt to changing project requirements. Qualifications: Bachelor or master degree in AI, computer science, Engineering, mathematics or a related field. 2 to 4 years of experience in developing and deploying AI/ML solutions to production. Hands on experience with no code, low code, and SDKs for AI system development. Proficiency in data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory. Experience with Azure Cloud, Azure AI Foundry, Copilot Studio, and frameworks such LangChain, LangGraph, MCP for building agentic systems. Strong understanding of Agile methodology and project management. Ability to manage projects independently and make decisions under ambiguity. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Skills: Automation of complex processes using GenAI agents, especially using the Azure GenAI echo system Advanced Python programming. Handson experience with data storage systems, especially Snowflake, Azure Data Factory, Azure Fabric, and Azure Synapse Building Copilot agents and embedding them into systems such as Workday, Teams, etc. Mandatory Skills Gen AI Python data storage systems - especially Snowflake, Azure Data Factory, Azure Fabric, and Azure Synapse About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job Description Summary Principal Engineer combine a high level of technical expertise with sound business acumen and a good understanding of engineering processes. As an AI/ML Principal Engineers, you are part of a formal career path for technical personnel wanting to continue to develop and grow your technical competencies while having increasingly more impact on the business. As recognized experts in specialized fields, you will lead/support projects and initiatives with broad scope and high impact to the business. You will be responsible for major and complex assignments with long-term business implications. This role contributes to the overall strategy and manages complex issues within functional area of expertise. Job Description Roles & Responsibilities: Technical Leadership Support Consulting Engineers in business line technology strategy definition and Multi-Generational Product Plan (MGPP). Chair Design reviews for individual components, sub-assemblies and key engineering deliverables at tendering and contract execution stages. Support Consulting Engineers in governance and trainings to reinforce proper execution of design review guidelines. Identify, develop, evaluate, and introduce engineering solutions to create market winning proposals in anticipation of business product needs. Provide key technical direction to large projects during contract execution phase. Provide technical consultation on product problems throughout the business including supplier and field support and perform technical rescues when needed. Participate Patent Evaluation Board (PEB) to protect technology that gives the business a competitive advantage, as well as protecting the intellectual property rights of the company. Represent the business externally at conferences or in professional working bodies (IEC, CIGRE etc) and maintain active relationship with relevant academic institutions to promote research projects and other academic cooperations. Provide ad-hoc technical guidance to the Engineering/Technology management team as required, e.g., joining customer negotiations or supplier audits. Engineering/Technology Practices Support Consulting Engineers to safeguard design qualities. Organize lessons-learnt in one’s own domain and make sure they are well documented and communicated throughout the organization to prevent repeated mistakes. Maintain an active role in product introduction, cost improvements, schedule adherence and problem resolution to meet business needs. Provide technical consultation to cross-functional teams within the business to improve or resolve manufacturing, supply, or field issues. Competency Governance Develop technical competencies by establishing and delivering structured technical training schemes within one’s own business lines. Support Consulting Engineers in reviewing Engineering competency frameworks specific to one’s own business line. People Development Actively support Consulting Engineers with staff development & succession planning. Participate interviews for promotions or hiring within Engineering/Technology up to the level of Senior Engineer. Actively mentor and coach identified high potential Engineering talents within one’s business lines. Required Qualifications/Experience Bachelor of Science in Computer Science, Machine Learning, Engineering, or Mathematics. At least 10 years of experience in an engineering capacity Desired Characteristics Experience with Machine Learning technologies, and software systems architecture Ability to work across organizations in a matrix environment Preferably having taken a Senior Engineer role Strong oral and written communication skills Strong interpersonal, responsive and leadership skills Problem analysis and resolution skills Able to pursue Engineering integrity in adverse conditions Able to interface effectively with most levels of the organization Lean experience preferred Additional Information Relocation Assistance Provided: No This is a remote position Show more Show less

Gen AI IT is a global leader in industrial packaging products and services. We are committed to providing innovative solutions that enhance our customers productivity and sustainability. Our team is dedicated to excellence, and we strive to create a collaborative and inclusive work environment. Position Overview: It is seeking a skilled and motivated AI Engineer to join our dynamic team. The ideal candidate will have 2 to 4 years of experience in developing and deploying GenAI and AI/ML solutions to production. This requires hands on experience with no code, low code, and SDKs to build AI systems. The candidate should be proficient in working with data platforms such as Microsoft Azure, Snowflake, GenAI platform such as Azure AI Foundry, Azure OpenAI, Copilot Studio, and ChatGPT. The ability to manage small projects with minimal supervision and a working knowledge of the Agile methodology are essential. The candidate must be comfortable with ambiguity and a fastpaced PoC (Proof of Concept) delivery schedule. KeyResponsibilities: Focus on designing and developing proof of concepts (PoCs) and demonstrate the solution on a tight schedule. Utilize GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes. Work with data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory to build agentic workflow Embed/integrate GenAI agents (Copilot agents) into business platforms such as Workday, Teams, etc. Manage small to medium-sized projects with minimal supervision. Apply Agile methodology to ensure efficient project delivery. Make informed decisions under uncertainty and adapt to changing project requirements. Qualifications: Bachelor or master degree in AI, computer science, Engineering, mathematics or a related field. 2 to 4 years of experience in developing and deploying AI/ML solutions to production. Hands on experience with no code, low code, and SDKs for AI system development. Proficiency in data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory. Experience with Azure Cloud, Azure AI Foundry, Copilot Studio, and frameworks such LangChain, LangGraph, MCP for building agentic systems. Strong understanding of Agile methodology and project management. Ability to manage projects independently and make decisions under ambiguity. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Skills: Automation of complex processes using GenAI agents, especially using the Azure GenAI echo system Advanced Python programming. Handson experience with data storage systems, especially Snowflake, Azure Data Factory, Azure Fabric, and Azure Synapse Building Copilot agents and embedding them into systems such as Workday, Teams, etc. Mandatory Skills Gen AI Python data storage systems - especially Snowflake, Azure Data Factory, Azure Fabric, and Azure Synapse About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

A Python Developer with AI and UI skills is responsible for designing, developing, and maintaining software solutions that combine robust backend logic, artificial intelligence AI and user friendly interfaces. This hybrid role bridges the gap between data driven backend systems and intuitive front end experiences, ensuring seamless integration and performance across the stack. Key Responsibilities Design, develop, and implement scalable Python applications with integrated AI ML, LLM models. Collaborate with UI UX designers to create and implement user friendly, responsive Integrate front end components with server side logic to deliver cohesive user experiences. Develop RESTful APIs and ensure seamless communication between front end and back end systems. Debug, test, and optimize applications for performance, scalability, and security. Write and maintain technical documentation for code, models, and user interfaces. Required Skills and Qualifications Proficiency in Python and its major frameworks Django, Flask, FastAPI. Knowledge on Agent development is a plus. Ability to integrate user facing elements with server side logic. Strong debugging, problem solving, and optimization skills. Excellent communication and teamwork abilities. Preferred Qualifications Familiarity with cloud platforms AWS, Azure, Google Cloud. Understanding of agile development methodologies. Portfolio of projects demonstrating AI and UI integration. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Position Summary Manager – Sr. DevSecOps, Product & Engineering (PxE) As a Sr. DevSecOps Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive DevSecOps engineering craftsmanship and advanced proficiency across multiple programming languages, DevSecOps tools, and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused CI/CD and automation solutions. The ideal candidate will be a role model and an engineering mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions Key Responsibilities: Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop DevSecOps engineering solutions that solve complex automation problems with valuable outcomes, ensuring high-quality, lean, resilient and secure pipelines with low operating costs, meeting platform/technology KPIs. Technical Leadership and Advocacy: Serve as the technical advocate for DevSecOps modern practices, ensuring integrity, feasibility, and alignment with business and customer goals, NFRs, and applicable automation/integration/security practices— being r esponsible for designing and maintaining code repos, CI/CD pipelines, integrations (code quality, QE automation, security, etc.) and environments (sandboxes, dev, test, stage, production) through IaC, both for custom and package solutions, including identifying, assessing, and remediating vulnerabilities. Engineering Craftsmanship: Possess passion and experience as an individual contributor, responsible for the integrity and design of DevSecOps pipelines, environments, and technical resilience of implementations and design, while driving deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing approaches. Be always hands-on and actively engage with engineers to ensure DevSecOps practices are understood and can be implemented, working with them closely during sprints, helping resolve any technical issues through to production operations (e.g., leading triage and troubleshooting production issues). Be self-driven to learn new technologies, experiment with engineers, and inspire the team to learn and drive application of those new technologies. Customer-Centric Engineering: Develop lean, and yet scalable and flexible, DevSecOps automations through rapid, inexpensive experimentation to solve customer needs, enabling version control, security, logging, feedback loops, continuous delivery, etc. Engage with customers and product teams to deliver the right solution for the product in the right way at the right time. Incremental and Iterative Delivery: Exhibit a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, engineering, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment. Act as a Role-Model, leveraging these techniques to optimize solutioning and product delivery, ensuring high-quality outcomes with minimal waste. Demonstrate proficiency in full lifecycle of product development, from conceptualization and design to implementation and scaling, with a focus on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs into technical requirements and automations. Navigate various enterprise functions such as business and enabling areas as well as product, experience, engineering, delivery, infrastructure, and security to drive product value and feasibility as well as alignment with organizational goals. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence stakeholders at all levels through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with stakeholders at all organizational levels, from team members to senior executives. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions Qualification Required: Education and Experience A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. Excellent software engineering foundation with deep understanding of OOP/OOD, functional programming, data structures and algorithms, software design patterns, code instrumentations, etc 8+ years proven experience with Python, Bash, PowerShell, JavaScript, C#, and Golang (preferred). 8+ years proven experience with CI/CD tools (Azure DevOps and GitHub Enterprise) and Git (version control, branching, merging, handling pull requests) to automate build, test, and deployment processes. 5+ years of hands-on experience in security tools automation SAST/DAST (SonarQube, Fortify, Mend), monitoring/logging (Prometheus, Grafana, Dynatrace), and other cloud-native tools on AWS, Azure, and GCP. 5+ years of hands-on experience in using Infrastructure as Code (IaC) technologies like Terraform, Puppet, Kubernetes (K8s), Azure Resource Manager (ARM), AWS Cloud Formation, and Google Cloud Deployment Manager. 3+ years of hands-on experience with cloud native services like Data Lakes, CDN, API Gateways, Managed PaaS, Security, etc. on multiple cloud providers like AWS, Azure and GCP is preferred. 3+ years of experience with AI/ML and GenAI is preferred. Deep understanding of methodologies like, XP, Lean, SAFe to deliver high quality products rapidly. General understanding of cloud providers security practices, database technologies and maintenance (e.g. RDS, DynamoDB, Redshift, Aurora, Azure SQL, Google Cloud SQL) General knowledge of networking, firewalls, and load balancers.Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care Location : Hyderabad Shift timing – 11AM to 8PM How You Will Grow At Deloitte, we have invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in the same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 302607 Show more Show less

About The Role Grade Level (for internal use): 12 The Role: Foreseer AI – Associate Director The Team: The Foreseer team delivers digital transformation solutions at SPGMI for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers. Responsibilities Include Support and foster a quality-first, agile culture that is built on partnership, trust and sharing Design, develop and maintain functionalities to create new solutions on the platform. Learning and understanding all aspects of the framework and the project deliverables. Be technically deep and provide input on architecture, design and code. Be responsible for driving technical design, architecture and implementation of new features and iterations of your project. Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements. Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations. Maintain comprehensive documentation of platform, processes and procedures for reference and knowledge sharing. Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions. Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership. Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills. Experience & Qualifications BS or MS degree in Computer Science or Information Technology or equivalent. Proven experience in generative AI, machine learning, and data transformation. Strong proficiency in Python and familiarity with AI libraries (e.g., TensorFlow, PyTorch). 10+ years hands on experience with Java, J2EE and related frameworks and technologies (Spring, Restful services, Spring Boot, Spring JPA, Spring Security, MVC etc.). 4+ years of experience with designing, architecting and building microservices based distributed systems in serverless environment (containers platforms). 4+ years of experience in Active MQ, Kafka or other related JMS providers. 2+ years of experience in leading global teams in an agile environment. Proficient with Data structures and Algorithms. Experience with Design and development using generative AI models and algorithms using Python. Experience with Performance tuning, Thread dump analysis and code refactoring. Experience in different data base technologies (like RDBMS, NOSQL) Experience in Containerization, Kubernetes, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools Nice To Have Skills Distributed systems programming. AI/ML solutions architecture. Knowledge of GenAI Platforms and tech stacks. Hands on experience with Elastic/Redis search. Hands on experience in Python Hands on experience in Vaadin Framework. Experience in Agile and Scrum methodologies What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315895 Posted On: 2025-06-06 Location: Hyderabad, Telangana, India Show more Show less

Job Title: Test Lead – Computer Vision (Ground Truth Validation) Location : Onsite in Bavdhan, Pune Description: We are looking for an experienced Test Lead to manage QA efforts for our computer vision projects , with a strong focus on Ground Truth validation . The ideal candidate will be hands-on, detail-oriented, and able to lead testing for ML model outputs, annotated datasets, and visual recognition systems. Responsibilities: Lead test planning, execution, and reporting for CV/ML pipelines Validate annotations and Ground Truth data for accuracy and consistency Coordinate with data labeling teams and ML engineers Develop and manage test cases for model accuracy, precision, and edge cases Ensure delivery of high-quality datasets and outputs Requirements: 4+ years in QA/testing, with 1–2 years in Computer Vision or ML projects Experience with Ground Truth validation workflows Familiarity with image annotation tools (e.g., Labelbox, CVAT, VGG) Strong attention to detail and analytical thinking Excellent communication and leadership skills Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 15th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 15th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Overview This role is responsible for producing KPI tracking reports and extracting key data into suitable format to enable the UK business unit to manage performance. Key responsibility is maintaining a standard reporting and comms methodology with partner stakeholders. The scope of data and interactions is across Customer service and collaboration performance. The role holder will have to work in partnership with respective BU CS functional owners to ensure the reports are updated in line with the daily needs of the business whilst also responding to BU update requests or support as required for historical performance tracking. This role is essential to ensure visibility to operational and regulatory performance is clear and timely in representation to enable the teams to continuously improve service. This role is the more senior role which will be supported by the CS snr associates. Responsibilities Conduct regular KPI tracking Complete Ad hoc reports on request for snr mgmt. or stakeholders Provide and communicate preliminary root cause analysis Monthly reporting Continuous improvement of reporting process In addition to tasks associated with the reporting associate above, the analyst will also take ownership of Project manage reporting and analytics development Create and model scenarios in support of Customer collaboration Designing new scorecards / dashboards in partnership with local CS teams requirements Pro-active system analysis for improvement opportunities (automation potential) and fault diagnosis (maintain process / RPA) Support and enable reporting automation (RPA) and report creation using appropriate digitalisation tools (powerBI or equiv.) Investigate and trial new CS tools, supporting development opportunities (i.e. support AI, ML, Prescriptive analytics) Qualifications Advance knowledge of Power BI & Power Automate Basic knowledge of SQL & Python Analytical Mindset Good communication skills Show more Show less

Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects Influence machine learning strategy for Digital programs and projects Make solution recommendations that appropriately balance speed to market and analytical soundness Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow) Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories Create algorithms to extract information from large, multiparametric data sets Deploy algorithms to production to identify actionable insights from large databases Compare results from various methodologies and recommend optimal techniques Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories Develop and embed automated processes for predictive model validation, deployment, and implementation Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment Lead discussions at peer review and use interpersonal skills to positively influence decision making Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices Facilitate cross-geography sharing of new ideas, learnings, and best-practices Requirements Bachelor of Science or Bachelor of Engineering at a minimum. 4+ years of work experience as a Data Scientist A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) Good hands-on skills in both feature engineering and hyperparameter optimization Experience producing high-quality code, tests, documentation Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies Proficiency in statistical concepts and ML algorithms Good knowledge of Agile principles and process Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results Self-motivated and a proactive problem solver who can work independently and in teams Show more Show less

Job Title: Senior Software Engineer Department: IDP About Us HG Insights is the global leader in technology intelligence, delivering actionable AI driven insights through advanced data science and scalable big data solutions. Our Big Data Insights Platform processes billions of unstructured documents and powers a vast data lake, enabling enterprises to make strategic, data-driven decisions. Join our team to solve complex data challenges at scale and shape the future of B2B intelligence. What You’ll Do: Design, build, and optimize large-scale distributed data pipelines for processing billions of unstructured documents using Databricks, Apache Spark, and cloud-native big data tools Architect and scale enterprise-grade big-data systems, including data lakes, ETL/ELT workflows, and syndication platforms for customer-facing Insights-as-a-Service (InaaS) products. Collaborate with product teams to develop features across databases, backend services, and frontend UIs that expose actionable intelligence from complex datasets. Implement cutting-edge solutions for data ingestion, transformation, and analytics using Hadoop/Spark ecosystems, Elasticsearch, and cloud services (AWS EC2, S3, EMR). Drive system reliability through automation, CI/CD pipelines (Docker, Kubernetes, Terraform), and infrastructure-as-code practices. What You’ll Be Responsible For Leading the development of our Big Data Insights Platform, ensuring scalability, performance, and cost-efficiency across distributed systems. Mentoring engineers, conducting code reviews, and establishing best practices for Spark optimization, data modeling, and cluster resource management. Building & Troubleshooting complex data pipeline issues, including performance tuning of Spark jobs, query optimization, and data quality enforcement. Collaborating in agile workflows (daily stand-ups, sprint planning) to deliver features rapidly while maintaining system stability. Ensuring security and compliance across data workflows, including access controls, encryption, and governance policies. What You’ll Need BS/MS/Ph.D. in Computer Science or related field, with 5+ years of experience building production-grade big data systems. Expertise in Scala/Java for Spark development, including optimization of batch/streaming jobs and debugging distributed workflows. Proven track record with: Databricks, Hadoop/Spark ecosystems, and SQL/NoSQL databases (MySQL, Elasticsearch). Cloud platforms (AWS EC2, S3, EMR) and infrastructure-as-code tools (Terraform, Kubernetes). RESTful APIs, microservices architectures, and CI/CD automation37. Leadership experience as a technical lead, including mentoring engineers and driving architectural decisions. Strong understanding of agile practices, distributed computing principles, and data lake architectures. Airflow orchestration (DAGs, operators, sensors) and integration with Spark/Databricks 7+ years of designing, modeling and building big data pipelines in an enterprise work setting. Nice-to-Haves Experience with machine learning pipelines (Spark MLlib, Databricks ML) for predictive analytics. Knowledge of data governance frameworks and compliance standards (GDPR, CCPA). Contributions to open-source big data projects or published technical blogs/papers. DevOps proficiency in monitoring tools (Prometheus, Grafana) and serverless architectures. Show more Show less

PAYU PAYMENTS PRIVATE LIMITED Role Title: Quality Engineer Location: Bangalore Preferred/Mumbai About The Team Our Team is a specialized in bridging the gap between development and testing. Unlike traditional QA roles, SDETs have strong programming skills and contribute to both the development and testing aspects of software products. About The Role Quality Assurance is a systematic process that ensures a product or service meets specified requirements and customer expectations. In software development, QA professionals test applications to identify bugs, verify functionality, and ensure the overall quality of the product. Responsibilities Design, develop, and maintain scalable automated test frameworks. Implement comprehensive and effective test cases for new and existing features. Perform various types of testing including functional, regression, integration, performance, and API testing. Analyze test results, identify root causes of issues, and report bugs with clear and detailed documentation. Collaborate with developers, product managers, and QA team members to ensure software quality. Continuously evaluate and adopt the latest testing tools, frameworks, and best practices. Participate in code reviews and contribute to testability and quality of the codebase. Proactively identify areas of improvement in the testing process and drive initiatives for improvement. Requirements Proficiency in Java or any other modern programming language (e.g., Python JavaScript). Hands-on experience with automation tools such as Selenium, Appium, and Rest Assured. Strong understanding of software testing methodologies, best practices, and QA lifecycle. Solid problem-solving and debugging skills with the ability to identify and resolve technical issues effectively. Experience working with CI/CD tools and version control systems (e.g., Jenkins, Git). Excellent verbal and written communication skills for documenting and reporting test results and issues. Nice To Have Experience with performance testing tools like JMeter or Locust. What we offer? A positive, get-things-done workplace A dynamic, constantly evolving space (change is par for the course – important you are comfortable with this). An inclusive environment that ensures we listen to a diverse range of voices when making decisions. Ability to learn cutting edge concepts and innovation in an agile start-up environment with a global scale. Access to 5000+ training courses accessible anytime/anywhere to support your growth and development (Corporate with top learning partners like Harvard, Coursera, Udacity). About Us PayU specializes in credit products and services for emerging markets across the globe. Headquartered in Mumbai, PayU Credit India has disbursed about 20 billion loans to date by volume and has disbursed more than $280 million in consumer credit. PayU Credit provides consumers with easy access to affordable short-term loans up to INR 5 lacs that can be availed in the form of personal loans, point of sale EMI and express loans. Lead by Prashanth Ranganathan, the company has been focusing on providing innovative solutions that make access to credit convenient as well as quick. PayU India entered the alternate lending business in 2017 with LazyPay, its buy-now-pay-later offering to provide consumers with convenient checkout options. It emerged as one of the most popular payment methods across 300+ renowned merchants in its network like Swiggy, Zomato, Samsung, Dunzo, GoAir, amongst others. Recently the company launched ‘LazyPay Credit Shield’ an end to end digital lending features that help its users to be mindful of their financial health and credit score and automates the entire process of disbursal. Riding on the success of the offering in 2018, PayU received RBI’s approval to operate as an NBFC in 2018. PayU acquired a stake in PaySense in January 2020 to accelerate its vision for credit in India and leverage AI & ML to build a full-stack digital lending platform in India. PayU in its next phase of growth is developing a full regional fintech ecosystem providing multiple digital financial services in one integrated experience Our Commitment to Building A Diverse and Inclusive Workforce As a global and multi-cultural organization with varied ethnicities thriving across locations, we realize that our responsibility towards fulfilling the D&I commitment is huge. Therefore, we continuously strive to create a diverse, inclusive, and safe environment, for all our people, communities, and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility, and unbiased attention to every PayUneer so they can succeed, irrespective of gender, color, or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specific race, ethnicity, or of persons with disabilities, or the LGBTQ communities. Show more Show less

Company Description Every day, thousands of patients across India face delays, stress, and reduced quality of care due to cumbersome administrative processes and insurance claim challenges. At Vitraya, we directly confront these issues by using advanced AI to streamline healthcare operations, eliminate administrative friction, and ensure healthcare providers can fully focus on patient outcomes. Role Description This is a full-time role for a Senior Fullstack AI/ML Engineer. The selected candidate will be responsible for designing, developing, and implementing AI and machine learning models, with a focus on pattern recognition and neural networks. Daily tasks include coding and software development, data analysis, and improving existing algorithms. The Senior Fullstack AI/ML Engineer will work closely with cross-functional teams to ensure the integration of AI solutions into the claims settlement process. We are looking for a passionate Senior AI/ML Engineer committed to building transformative solutions that positively impact patient care and healthcare delivery. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Why Join Us: Direct Patient Impact: Your contributions will significantly enhance patient care quality and reduce administrative burdens on healthcare providers. Innovation with Real Outcomes: Be part of pioneering AI applications that provide tangible, measurable improvements in healthcare. Professional Growth: Tackle unique, meaningful challenges that will sharpen your skills and offer growth in a supportive, collaborative environment. Empowered Team: Enjoy autonomy, flexibility, and the chance to influence core product decisions as part of a dedicated, mission-driven team. Required Skills & Qualifications • Experience: 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. • AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. • Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. • Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. • Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. • Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. • MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring. • Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. Show more Show less

🤖 Machine Learning Intern – Remote | Step into the Future of AI Are you fascinated by how machines learn, predict, and improve over time? Dive into the world of intelligent systems with Skillfied Mentor as a Machine Learning Intern and gain real-world experience in building ML models and handling data. 📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours 🌟 About the Internship: As a Machine Learning Intern , you’ll work on projects that involve real datasets, basic algorithms, and collaborative problem-solving. This is your chance to apply coding and math to develop intelligent solutions. Understand core ML concepts like regression, classification & clustering Work with Python libraries like Scikit-learn, Pandas, NumPy Assist in preprocessing data, training models, and analyzing performance Explore real use-cases in recommendation, prediction, and automation Collaborate remotely with mentors and peers in the AI/ML field 🔍 You’re a Great Fit If You: ✅ Know or are learning Python and ML concepts ✅ Are curious about how algorithms work behind the scenes ✅ Can commit 5–7 hours per week (remotely and flexibly) ✅ Are analytical, logical, and love experimenting with data ✅ Want to build practical machine learning projects for your future 🎁 What You’ll Gain: 📜 Certificate of Completion 📂 Hands-On ML Projects for Resume & GitHub 🧠 Practical Exposure to Model Building & Evaluation 📈 Experience in Solving Real Problems with Machine Learning ⏳ Last Date to Apply: 20th June 2025 Whether you're a student, beginner, or transitioning into AI – this internship will help you develop real, applicable skills in Machine Learning . 👉 Apply now and let your ML journey begin with Skillfied Mentor. Show more Show less

Job Description Summary Principal Engineer combine a high level of technical expertise with sound business acumen and a good understanding of engineering processes. As an AI/ML Principal Engineers, you are part of a formal career path for technical personnel wanting to continue to develop and grow your technical competencies while having increasingly more impact on the business. As recognized experts in specialized fields, you will lead/support projects and initiatives with broad scope and high impact to the business. You will be responsible for major and complex assignments with long-term business implications. This role contributes to the overall strategy and manages complex issues within functional area of expertise. Job Description Roles & Responsibilities: Technical Leadership Support Consulting Engineers in business line technology strategy definition and Multi-Generational Product Plan (MGPP). Chair Design reviews for individual components, sub-assemblies and key engineering deliverables at tendering and contract execution stages. Support Consulting Engineers in governance and trainings to reinforce proper execution of design review guidelines. Identify, develop, evaluate, and introduce engineering solutions to create market winning proposals in anticipation of business product needs. Provide key technical direction to large projects during contract execution phase. Provide technical consultation on product problems throughout the business including supplier and field support and perform technical rescues when needed. Participate Patent Evaluation Board (PEB) to protect technology that gives the business a competitive advantage, as well as protecting the intellectual property rights of the company. Represent the business externally at conferences or in professional working bodies (IEC, CIGRE etc) and maintain active relationship with relevant academic institutions to promote research projects and other academic cooperations. Provide ad-hoc technical guidance to the Engineering/Technology management team as required, e.g., joining customer negotiations or supplier audits. Engineering/Technology Practices Support Consulting Engineers to safeguard design qualities. Organize lessons-learnt in one’s own domain and make sure they are well documented and communicated throughout the organization to prevent repeated mistakes. Maintain an active role in product introduction, cost improvements, schedule adherence and problem resolution to meet business needs. Provide technical consultation to cross-functional teams within the business to improve or resolve manufacturing, supply, or field issues. Competency Governance Develop technical competencies by establishing and delivering structured technical training schemes within one’s own business lines. Support Consulting Engineers in reviewing Engineering competency frameworks specific to one’s own business line. People Development Actively support Consulting Engineers with staff development & succession planning. Participate interviews for promotions or hiring within Engineering/Technology up to the level of Senior Engineer. Actively mentor and coach identified high potential Engineering talents within one’s business lines. Required Qualifications/Experience Bachelor of Science in Computer Science, Machine Learning, Engineering, or Mathematics. At least 10 years of experience in an engineering capacity Desired Characteristics Experience with Machine Learning technologies, and software systems architecture Ability to work across organizations in a matrix environment Preferably having taken a Senior Engineer role Strong oral and written communication skills Strong interpersonal, responsive and leadership skills Problem analysis and resolution skills Able to pursue Engineering integrity in adverse conditions Able to interface effectively with most levels of the organization Lean experience preferred Additional Information Relocation Assistance Provided: No This is a remote position Show more Show less

We are looking for a Software Engineer to join our Policy Automation team in India to help us build an end-to-end data automation solution. If you passionate about coding, AI, and have extensive experience on API, Rule Engine, and Frontend Frameworks development, we’d love to hear from you! We are looking for someone who has experience with Python and ideally has strong knowledge on DB. About You – experience, education, skills, and accomplishments: Graduates in BE/BTech/MTech – Computer science 3+ years of experience with Coding skills in Python Solid understanding of Database and SQL It would be great if you also had . . Extensive experience with software development best practices, including version control, documentation, testing and CI/CD Preferably to have a history of implementing a system with a microservices design Preferably to have experience with Rule Engine Nice to be knowledgeable on AI/ML What will you be doing in this role? Participate in all phases of the software development lifecycle, design, develop and implement a business rule engine to extract, ingest, and load data from various file formats into a standard data model. Design, develop and implement various API end points to manage the automation processes, support frontend components, and communicate with external service components. Implement automation processes utilizing both traditional AI and GenAI About the Team Welcome to our Policy Automation team! We are a dynamic and passionate group of 30+ professionals (80% situated in India), committed to craft innovative solutions that streamline data acquisition, ingestion, and management processes, using both rule-based and AI/ML technologies. We pride ourselves on developing systems that not only optimize efficiency but also ensure accuracy and reliability. From automated data pipelines to intelligent analytic platforms, our team works tirelessly to deliver solutions that meet the unique needs of our internal teams and external clients in healthcare industry. Hours of Work 40 Hours per week, permanent full-time position At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations. Show more Show less

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary Job Description More Details Below Join the exciting Generative AI team at Qualcomm focused on integrating cutting edge GenAI models on Qualcomm chipsets. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of GenAI models on-device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. Utilize this power efficient hardware and Software stack to run Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds! Responsibilities In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs. As an AI inferencing expert, you'll push the limits of performance from large models. Your mastery in deploying large C/C++ software stacks using best practices will be essential. You'll stay on the cutting edge of GenAI advancements, understanding LLMs/Transformers and the nuances of edge-based GenAI deployment. Most importantly, your passion for the role of edge in AI's evolution will be your driving force. Requirements Master’s/Bachelor’s degree in computer science or equivalent. 3+ years of relevant work experience in software development. Strong understanding of Generative AI models – LLM, LVM and LLMs and building blocks Floating-point, Fixed-point representations and Quantization concepts. Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU). Strong development skills in C/C++ Excellent analytical and debugging skills. Good communication skills (verbal, presentation, written). Ability to collaborate across a globally diverse team and multiple interests. Preferred Qualifications Strong understanding of SIMD processor architecture and system design. Proficiency in object-oriented software development. Familiarity with Linux and Windows environment Strong background in kernel development for SIMD architectures. Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus. Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred. Experience with parallel computing systems and Assembly is a plus. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3073034 Show more Show less

Software Engineer - Privacy and AI Governance Role purpose As a Senior software Engineer (Privacy and AI governance) you will help design, develop and operationalize the technical foundations of Accelya’s Privacy by Design and AI governance programs. You will report directly to Accelya’s Data Protection Officer/AI Governance lead supporting the DPO enforce data protection, AI accountability and privacy by design principles. This role will also have a dotted line to Accelya’s Chief Technology Officers to ensure alignment with technical standards, priorities and devops workflows. This individual will develop effective relationships within the technology division working closely with the technology leadership and being able to embed controls effectively without slowing innovation. As Senior software Engineer (Privacy and AI governance) you will spearhead efforts to ensure that privacy is embedded into our software products’ DNA and that Accelya’s AI initiatives meet the requirements of applicable regulations (e.g., GDPR, EU AI act), AI best practice (such as NIST AI RMF), Accelya trust principles, and customer expectations. Duties & Responsibilities Use automated data discovery tools to identify personal or sensitive data flows Design and develop internal tools, APIs, and automation scripts to support: Data privacy workflows (e.g. DSARs, data lineage, consent management) AI/ML governance frameworks (e.g. model cards, audit logging, explainability checks) Review technical controls for data minimization, purpose limitation, access control, and retention policies. Build integrations with privacy and cloud compliance platforms (e.g. OneTrust, AWS Macie and SageMaker governance tools). Collaborate with the AI/ML teams to establish responsible AI development patterns, including bias detection, transparency, and model lifecycle governance. Contribute to privacy impact assessments (PIAs) and AI risk assessments by providing technical insights. Create dashboards and monitoring systems to flag potential policy or governance violations in pipelines. Support the DPO with technical implementation of GDPR, CCPA, and other data protection regulations. Collaborate with legal, privacy, and engineering teams to prioritize risks and translate findings into clear, actionable remediation plans. Knowledge, Experience & Skills: Must-Haves: Proven software engineering experience, ideally in backend or systems engineering roles Strong programming skills (e.g. Python, Java, or TypeScript) Familiarity with data privacy and protection concepts (e.g., pseudonymization, access logging, encryption) Understanding of AI/ML lifecycle Experience working with cloud environments (especially AWS) Ability to translate legal/policy requirements into technical designs Nice-to-Haves: Experience with privacy or GRC tools (e.g., OneTrust, or BigID) Knowledge of machine learning fairness, explainability, and AI risk frameworks Exposure to data governance frameworks (e.g., NIST AI RMF, ISO/IEC 42001) Prior work with privacy-enhancing technologies (PETs), e.g., differential privacy or federated learning What do we offer? Open culture and challenging opportunity to satisfy intellectual needs Flexible working hours Smart working: hybrid remote/office working environment Work-life balance Excellent, dynamic and multicultural environment About Accelya Accelya is a leading global software provider to the airline industry, powering 200+ airlines with an open, modular software platform that enables innovative airlines to drive growth, delight their customers and take control of their retailing. Owned by Vista Equity Partners long-term perennial fund and with 2K+ employees based around 10 global offices, Accelya are trusted by industry leaders to deliver now and deliver for the future. The company´s passenger, cargo, and industry platforms support airline retailing from offer to settlement, both above and below the wing. Accelya are proud to deliver leading-edge technologies to our customers including through our partnership with AWS and through the pioneering NDC expertise of our Global Product teams. We are proud to enable innovation-led growth for the airline industry and put control back in the hands of airlines. For more information, please visit www.accelya.com Show more Show less

Job Description Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let’s push the boundaries of what's possible together. As a Senior Director of Software Engineering at JPMorgan Chase within Asset Wealth Management, you will lead multiple technical areas and manage a team engineers. Collaborate directly with the team and work in a co-located environment with business leaders to drive innovation and develop cutting-edge technology solutions. Your role will be pivotal in aligning technology initiatives with business strategies, ensuring our solutions remain at the forefront of industry advancements. Job Responsibilities Innovate technology and process implementations to achieve strategic objectives. Lead complex projects, serving as a primary decision-maker and driver of innovation. Manage and mentor a diverse team of 100+ engineers, fostering a culture of collaboration and continuous improvement. Build a high-performing team that thrives on diversity and inclusion. Oversee global platform development and maintenance of scalable, reliable global platforms. Deliver solutions that can be leveraged across multiple businesses and domains. Collaborate with business and partner with global business leaders to understand their needs and translate them into technical solutions. Provide regional leadership in a co-located setting. Ensure governance accountability for coding decisions and control obligations, focusing on cost of ownership and maintainability. Influence stakeholders across business, product, and technology teams. Champion our culture of diversity, equity, inclusion, and respect Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ year of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization. Proven experience in building enterprise-scale business systems and leading cross-functional teams. Expertise in the full Java Stack and cloud-native environments, specifically AWS. Strong people management skills with a focus on coaching and talent development. Background in Computer Science, Computer Engineering, Mathematics, or a related field. Preferred Qualifications, Capabilities, And Skills Experience working at the code level. Experience with AI/ML technologies. Background in Asset Wealth Management and the Financial Industry. About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Show more Show less

Roles & Responsibilities Have hands on experience on real time ML Models / Projects Coding in Python Language, Machine Learning, Basic SQL, Git, MS Excel Experience in using IDE like Jupyter Notebook, Spyder, PyCharm Hands on with AWS Services like S3 bucket, EC2, Sagemaker, Step Functions. Engage with clients/consultants to understand requirements Taking ownership of delivering ML models with high precision outcomes. Accountable for high quality and timely completion of specified work deliverables Write codes that are well detailed structured and compute efficient Experience 4.5-6 Years Skills Primary Skill: AI/ML Development Sub Skill(s): AI/ML Development Additional Skill(s): AI/ML Development, TensorFlow, NLP, Pytorch About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

Description RESPONSIBILITIES Design and implement CI/CD pipelines for AI and ML model training, evaluation, and RAG system deployment (including LLMs, vectorDB, embedding and reranking models, governance and observability systems, and guardrails). Provision and manage AI infrastructure across cloud hyperscalers (AWS/GCP), using infrastructure-as-code tools -strong preference for Terraform-. Maintain containerized environments (Docker, Kubernetes) optimized for GPU workloads and distributed compute. Support vector database, feature store, and embedding store deployments (e.g., pgVector, Pinecone, Redis, Featureform. MongoDB Atlas, etc). Monitor and optimize performance, availability, and cost of AI workloads, using observability tools (e.g., Prometheus, Grafana, Datadog, or managed cloud offerings). Collaborate with data scientists, AI/ML engineers, and other members of the platform team to ensure smooth transitions from experimentation to production. Implement security best practices including secrets management, model access control, data encryption, and audit logging for AI pipelines. Help support the deployment and orchestration of agentic AI systems (LangChain, LangGraph, CrewAI, Copilot Studio, AgentSpace, etc.). Must Haves: 4+ years of DevOps, MLOps, or infrastructure engineering experience. Preferably with 2+ years in AI/ML environments. Hands-on experience with cloud-native services (AWS Bedrock/SageMaker, GCP Vertex AI, or Azure ML) and GPU infrastructure management. Strong skills in CI/CD tools (GitHub Actions, ArgoCD, Jenkins) and configuration management (Ansible, Helm, etc.). Proficient in scripting languages like Python, Bash, -Go or similar is a nice plus-. Experience with monitoring, logging, and alerting systems for AI/ML workloads. Deep understanding of Kubernetes and container lifecycle management. Bonus Attributes: Exposure to MLOps tooling such as MLflow, Kubeflow, SageMaker Pipelines, or Vertex Pipelines. Familiarity with prompt engineering, model fine-tuning, and inference serving. Experience with secure AI deployment and compliance frameworks Knowledge of model versioning, drift detection, and scalable rollback strategies. Abilities: Ability to work with a high level of initiative, accuracy, and attention to detail. Ability to prioritize multiple assignments effectively. Ability to meet established deadlines. Ability to successfully, efficiently, and professionally interact with staff and customers. Excellent organization skills. Critical thinking ability ranging from moderately to highly complex. Flexibility in meeting the business needs of the customer and the company. Ability to work creatively and independently with latitude and minimal supervision. Ability to utilize experience and judgment in accomplishing assigned goals. Experience in navigating organizational structure. Show more Show less

Description RESPONSIBILITIES Design and implement CI/CD pipelines for AI and ML model training, evaluation, and RAG system deployment (including LLMs, vectorDB, embedding and reranking models, governance and observability systems, and guardrails). Provision and manage AI infrastructure across cloud hyperscalers (AWS/GCP), using infrastructure-as-code tools -strong preference for Terraform-. Maintain containerized environments (Docker, Kubernetes) optimized for GPU workloads and distributed compute. Support vector database, feature store, and embedding store deployments (e.g., pgVector, Pinecone, Redis, Featureform. MongoDB Atlas, etc). Monitor and optimize performance, availability, and cost of AI workloads, using observability tools (e.g., Prometheus, Grafana, Datadog, or managed cloud offerings). Collaborate with data scientists, AI/ML engineers, and other members of the platform team to ensure smooth transitions from experimentation to production. Implement security best practices including secrets management, model access control, data encryption, and audit logging for AI pipelines. Help support the deployment and orchestration of agentic AI systems (LangChain, LangGraph, CrewAI, Copilot Studio, AgentSpace, etc.). Must Haves: 4+ years of DevOps, MLOps, or infrastructure engineering experience. Preferably with 2+ years in AI/ML environments. Hands-on experience with cloud-native services (AWS Bedrock/SageMaker, GCP Vertex AI, or Azure ML) and GPU infrastructure management. Strong skills in CI/CD tools (GitHub Actions, ArgoCD, Jenkins) and configuration management (Ansible, Helm, etc.). Proficient in scripting languages like Python, Bash, -Go or similar is a nice plus-. Experience with monitoring, logging, and alerting systems for AI/ML workloads. Deep understanding of Kubernetes and container lifecycle management. Bonus Attributes: Exposure to MLOps tooling such as MLflow, Kubeflow, SageMaker Pipelines, or Vertex Pipelines. Familiarity with prompt engineering, model fine-tuning, and inference serving. Experience with secure AI deployment and compliance frameworks Knowledge of model versioning, drift detection, and scalable rollback strategies. Abilities: Ability to work with a high level of initiative, accuracy, and attention to detail. Ability to prioritize multiple assignments effectively. Ability to meet established deadlines. Ability to successfully, efficiently, and professionally interact with staff and customers. Excellent organization skills. Critical thinking ability ranging from moderately to highly complex. Flexibility in meeting the business needs of the customer and the company. Ability to work creatively and independently with latitude and minimal supervision. Ability to utilize experience and judgment in accomplishing assigned goals. Experience in navigating organizational structure. Show more Show less

Description RESPONSIBILITIES Design, develop, implement, test, and maintain automated test suites and frameworks for AI/ML pipelines. Collaborate closely with ML engineers and data scientists to understand model architectures and data workflows. Develop and execute test plans, test cases, and test scripts to identify software defects in AI/ML applications. Ensure end-to-end quality of AI/ML solutions, including data integrity, model performance, and system integration. Implement continuous integration and continuous deployment (CI/CD) processes for ML pipelines. Conduct performance and scalability testing for AI/ML systems. Document and track software defects using bug-tracking systems, and report issues to development teams. Participate in code reviews and provide feedback on testability and quality. Help foster a culture of quality and continuous improvement within the ML engineering group. Stay updated with the latest trends and best practices in AI/ML testing and quality assurance. Must Haves: Bachelor’s degree in Computer Science, Engineering, or a related field. 2+ years of experience in quality assurance, specifically testing AI/ML applications. Experience with the following: Strong programming skills in Python (experience with libraries like PyTest or unittest). Familiarity with machine learning frameworks (TensorFlow, PyTorch, or scikit-learn). Experience with test automation tools and frameworks. Knowledge of CI/CD tools (Jenkins, GitLab CI, or similar). Experience with containerization technologies like Docker and orchestration systems like Kubernetes. Proficient in Linux operating systems. Familiarity with version control systems like Git. Strong understanding of software testing methodologies and best practices. Excellent analytical and problem-solving skills. Excellent communication and collaboration skills. Bonus Attributes: Experience with testing data pipelines and ETL processes. Cloud platform experience; GCP, AWS or Azure are acceptable. Knowledge of big data technologies like Apache Spark, Kafka, or Airflow. Experience with performance testing tools. Understanding of data science concepts and statistical analysis. Certifications in software testing or cloud technologies. Abilities: Ability to work with a high level of initiative, accuracy, and attention to detail. Ability to prioritize multiple assignments effectively. Ability to meet established deadlines. Ability to successfully, efficiently, and professionally interact with staff and customers. Excellent organization skills. Critical thinking ability ranging from moderately to highly complex. Flexibility in meeting the business needs of the customer and the company. Ability to work creatively and independently with latitude and minimal supervision. Ability to utilize experience and judgment in accomplishing assigned goals. Experience in navigating organizational structure. Show more Show less

Job Title: AI Security Engineer Position Overview As an AI Security Engineer, you will be responsible for integrating AI and machine learning into our security and compliance processes. You will work closely with the Security, Compliance, and Infrastructure teams to design, develop, and implement AI-driven automation to enhance our security posture. Your efforts will help us proactively identify vulnerabilities, automate compliance enforcement, and improve threat detection and response capabilities. Responsibilities AI-Driven Security Automation: Develop and implement AI-powered automation tools to detect, analyze, and mitigate security threats in real-time. Compliance Monitoring & Enforcement: Utilize AI/ML to automate compliance monitoring, ensuring adherence to regulatory and industry standards such as SOC 2, ISO 27001, and GDPR. Threat Intelligence & Anomaly Detection: Leverage AI to analyze network and system activity, identifying abnormal behavior patterns and potential security breaches before they escalate. Continuous Risk Assessment: Develop machine learning models that continuously assess security risks across cloud and on-premise environments, providing real-time insights and recommendations. Identity and Access Management (IAM): Implement AI-based analytics to detect anomalous access patterns and enforce dynamic access control policies. End-to-End Security Integration: Collaborate with Security, DevOps, and Compliance teams to integrate AI solutions into security monitoring, log analysis, and vulnerability management tools. Self-Healing Security Systems: Design and implement AI-driven remediation mechanisms that can automatically patch vulnerabilities and mitigate security risks. Data Protection & Encryption: Apply AI techniques to enhance data protection strategies, detecting unauthorized access and preventing data exfiltration. Security Posture Optimization: Continuously evaluate and refine AI-driven security models to adapt to emerging threats and evolving compliance requirements. Requirements 5+ years of experience in Security Engineering, Compliance, or DevSecOps roles with a focus on automation. Strong understanding of cybersecurity principles, compliance frameworks, and risk management. Hands-on experience in applying AI/ML techniques to security and compliance challenges. Proficiency in Python, with experience developing security automation scripts. Familiarity with cloud security best practices across AWS, GCP, or Azure. Knowledge of AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with infrastructure automation tools (Terraform, Ansible) for security enforcement. Understanding of identity and access management, zero-trust security models, and behavioral analytics. Familiarity with CI/CD security integrations and DevSecOps methodologies. Preferred Qualifications Certifications in Security (CISSP, CEH, OSCP) or Cloud Security (AWS Security Specialty, GCP Professional Security Engineer). Experience with AI-driven security platforms such as Darktrace, Vectra AI, or Exabeam. Knowledge of cryptography, secure coding practices, and application security. Hands-on experience implementing AI-enhanced threat detection systems. Experience in security governance and compliance automation. About Us SingleStore (www.singlestore.com) delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people. What We Offer Medical Insurance with family members covered Death and Accidental insurance coverage Remote opportunity One Long Weekend every month Phone, Internet & Wellness allowance. Opportunity to work in a global team Flexible working hours Show more Show less

Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects Influence machine learning strategy for Digital programs and projects Make solution recommendations that appropriately balance speed to market and analytical soundness Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow) Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories Create algorithms to extract information from large, multiparametric data sets Deploy algorithms to production to identify actionable insights from large databases Compare results from various methodologies and recommend optimal techniques Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories Develop and embed automated processes for predictive model validation, deployment, and implementation Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment Lead discussions at peer review and use interpersonal skills to positively influence decision making Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices Facilitate cross-geography sharing of new ideas, learnings, and best-practices Requirements Bachelor of Science or Bachelor of Engineering at a minimum. 4+ years of work experience as a Data Scientist A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) Good hands-on skills in both feature engineering and hyperparameter optimization Experience producing high-quality code, tests, documentation Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies Proficiency in statistical concepts and ML algorithms Good knowledge of Agile principles and process Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results Self-motivated and a proactive problem solver who can work independently and in teams Show more Show less