Job Title: Software Engineer, GenAI Engineering (AI/ML) Company: Pegasystems Job Category: Machine Learning Roles & Responsibilities: Pega is changing the way the world builds software. Our goal is to be the no. 1 CRM SaaS company in the world. In this role, you will design, build and deploy the GenAI services and AI agents behind Pega Infinity and the Pega AI Assistant. That includes agent tools and MCP integrations, retrieval\-augmented generation (RAG) and knowledge services, AI guardrails and governance, and agent observability. You'll lead features end to end, from problem framing to production, on cloud\-native services that run securely at enterprise scale on AWS, GCP and customer\-hosted environments. At Pega, we actively explore and embrace emerging AI capabilities with curiosity, responsibility, and a drive for meaningful innovation. You will work in an environment where AI enabled tools are used to enhance learning, improve engineering efficiency, and support better decision making across the cloud platform. We expect engineers to apply critical thinking to all AI generated outputs—validating accuracy, quality, and relevance before applying them in production environments. We view AI maturity as a spectrum, progressing from foundational adoption toward more strategic, advocacy driven integration, and you will play an active role in that journey. * Develop AI\-based applications and algorithms. * Design, test, and build software components for AI applications. * Collaborate with data scientists on algorithm development. * Create prototypes and proofs\-of\-concept for new ideas. * Create state\-of\-the\-art harness that powers Pega Agents * Lead model development, implementation and deployment end\-to\-end including. ML operations. You will be driving problem formulation, modeling approach, implementation, testing, deployment and monitoring. * Partner with product managers to drive productization of ideas into shippable solutions * Communicate effectively with technical and non\-technical audiences Who You Are: ---------------- * Gartner Analyst acclaimed technology leadership across our categories of products. * Continuous learning and development opportunities * An innovative, inclusive, agile, flexible, and fun work environment. * Competitive global benefits program inclusive of pay \+ bonus incentive, employee equity in the company. Pega embraces the responsible use of artificial intelligence (AI) to improve efficiency, consistency, and fairness across our business. We encourage thoughtful and ethical adoption of AI technologies that support people—not replace them. We may use AI‑enabled tools in our recruitment process. These tools are designed to assist us by providing insights and operational support. Work Location: Karnataka, India Availability: Full time
Job Title: Senior Data Scientist Company: Sonatype Job Category: Machine Learning Roles & Responsibilities: Sonatype is the software supply chain security company. We provide the world’s best end\-to\-end software supply chain security solution, combining the only proactive protection against malicious open source, the only enterprise grade SBOM management and the leading open source dependency management platform. This empowers enterprises to create and maintain secure, quality, and innovative software at scale. As founders of Nexus Repository and stewards of Maven Central, the world’s largest repository of Java open\-source software, we are software pioneers and our open source expertise is unmatched. We empower innovation with an unparalleled commitment to build faster, safer software and harness AI and data intelligence to mitigate risk, maximize efficiencies, and drive powerful software development. More than 2,000 organizations, including 70% of the Fortune 100 and 15 million software developers, rely on Sonatype to optimize their software supply chains. Who We Are * Sonatype is the software supply chain security company. We deliver the industry’s most complete solution for securing the modern software development lifecycle—from open source intake to production deployment. With tools that proactively detect malicious packages, manage SBOMs at scale, and optimize open source usage, we empower developers to build faster and safer software * As the creators of Nexus Repository and stewards of Maven Central, we’ve shaped how developers consume open source for over a decade. Today, more than 15 million developers and 2,000 organizations—including 70% of the Fortune 100—rely on Sonatype to secure and scale their software supply chains. The Opportunity * We’re looking for a Senior Data Scientist to join our growing AI \& Data Science team. You’ll lead the development of cutting\-edge machine learning models to detect malicious behavior, surface anomalies, and enhance security posture across our platform. * You ’ll work with massive, complex datasets collected from millions of software components and behavioral signals. In this role, you’ll have significant autonomy to explore novel ML and generative AI approaches—and be part of a deeply collaborative cross\-functional team alongside data engineers, product managers, and security experts. What You’ll Do * Own the end\-to\-end development of machine learning models, from research and prototyping through deployment and monitoring * Explore and apply generative techniques (e.g., GANs, VAEs, LLMs) for fraud detection, anomaly detection, and behavioral analysis * Design and implement experiments to evaluate model performance, reliability, and generalization * Partner with data engineers to build scalable pipelines for data collection, preprocessing, and feature engineering * Conduct exploratory data analysis and statistical modeling to extract insights from structured and unstructured data * Work closely with product and domain experts to frame problems, translate requirements, and identify impactful opportunities * Stay current on research advancements and assess how emerging methods (e.g., LangChain, HuggingFace models) can improve our platform * Present findings clearly to stakeholders—both technical and non\-technical—and drive data\-driven decision making * Mentor junior team members and contribute to the technical growth of the data science function Why You’ll Love Working Here * Autonomy \+ Impact: Lead innovative AI work that directly secures millions of developers * Modern Stack: Work with top\-tier tools like Databricks, HuggingFace, and AWS SageMaker * Collaborative Culture: Join a team that values trust, ownership, and continuous learning We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Work Location: Hyderabad, Telangana, India Availability: Full time
Job Title: Senior Staff AI Engineer Company: JazzX AI Job Category: Machine Learning Roles & Responsibilities: About the Role You will lead the design, development, and optimization of cutting\-edge RL solutions, from experimentation and simulation through production deployment. This includes building scalable training architectures, architecting multi\-agent and hierarchical RL frameworks, and ensuring that the RL systems are resilient, efficient, explainable and safe. As a senior technical leader, you will partner with cross\-functional teams—including product, core platform engineering, and research—to define architectural best practices, establish governance standards, and enable seamless integration of RL into our broader AGI platform. You will also drive innovation by exploring novel RL techniques, mentoring engineers and researchers, and ensuring the RL infrastructure can scale to support high\-throughput training and real\-world scenarios and enterprise use cases end to end. Key Responsibilities * Architecture \& Design: Define and drive the end\-to\-end architecture for reinforcement learning–based systems, including training pipelines, simulation environments, reward shaping, and model serving. * Research \& Development: Apply cutting\-edge RL techniques (policy optimization, model\-based RL, hierarchical RL, multi\-agent RL, etc) to solve complex enterprise problems. * Scalability \& Infrastructure: Design distributed training systems, leverage cloud\-native infrastructure, and optimize for performance, reproducibility, and cost\-efficiency. * Leadership \& Mentorship: Provide technical leadership to AI engineers and researchers; mentor junior team members; review designs and code with a focus on scalability, robustness, and clarity. * Collaboration: Partner with product, data, and platform teams to align RL solutions with strategic business goals and integrate them into production systems. * Evaluation \& Monitoring: Define frameworks for benchmarking, continuous evaluation, and feedback\-driven improvements in deployed RL models. * Compliance \& Safety: Ensure RL systems align with ethical AI practices, safety constraints, and regulatory standards for enterprises. If you're motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact. Work Location: Karnataka, India Availability: Full time
Job Title: AI Apprentice Company: Siemens Healthineers Job Category: Machine Learning Roles & Responsibilities: We're looking for a curious, motivated AI Intern to join our team. This is a hands\-on role where you'll work alongside engineers and researchers on real AI/ML projects, from prototyping models to deploying them. You'll gain exposure to the full lifecycle of building AI products and have the opportunity to ship work that goes into production. * Assist in building, training, and evaluating machine learning and deep learning models * Work with large language models (LLMs) — prompt engineering, fine\-tuning, RAG pipelines, or agentic workflows * Clean, preprocess, and analyze datasets to support model development * Write clean, well\-documented Python code and contribute to internal tools and APIs * Help benchmark model performance and run experiments to improve accuracy and efficiency * Read recent AI research papers and share insights with the team * Collaborate with product, engineering, and design teams to integrate AI features into our products How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Work Location: Maharashtra, India Availability: Full time
Job Title: Machine Learning Engineer Company: Amgen Job Category: Machine Learning Roles & Responsibilities: About The Role We are seeking a Machine Learning Engineer, Forecasting to join the Forecasting team within the AI \& Data organization. This role will build, deploy, and maintain machine learning systems that support forecasting and decision\-making across the organization. Key Responsibilities * Develop and maintain machine learning pipelines supporting forecasting and predictive analytics use cases. * Productionize statistical, machine learning, and Bayesian forecasting models developed by data scientists. * Build data ingestion, preprocessing, feature engineering, and model inference pipelines using structured and unstructured data. * Deploy ML models into production environments and support model lifecycle management. * Implement model monitoring, automated retraining, performance tracking, and alerting mechanisms. * Collaborate with data scientists to optimize model performance, scalability, and reliability. * Build reusable ML components, APIs, and services following software engineering best practices. * Contribute to CI/CD pipelines and MLOps workflows for automated testing and deployment. * Troubleshoot production issues, optimize system performance, and improve operational efficiency. * Document technical solutions and contribute to engineering best practices across the team. * Stay current with emerging machine learning engineering technologies and recommend improvements where appropriate. Work Location: Hyderabad, Telangana, India Availability: Full time
Job Title: Systems/Software Engr Company: Hewlett Packard Enterprise | HPE Job Category: Machine Learning Roles & Responsibilities: This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.Who We Are: Hewlett Packard Enterprise is the global edge\-to\-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: * Design and maintain intelligent monitoring and incident response workflows across cloud and on\-premises systems.* * Build and optimize data pipelines that collect, normalize, and enrich logs, metrics, and events for operational analytics.* * Develop and deploy predictive models to detect anomalies, forecast outages, and reduce mean time to resolution.* * Automate remediation runbooks and integrate alerting with service management platforms to improve reliability.* * Partner with DevOps, Site Reliability, and security teams to improve platform performance, availability, and operational governance.* * Python for automation, data processing, and operational tooling* * Observability platforms (for example, Splunk, Datadog, Prometheus, Grafana)* * Cloud platform operations (for example, Azure, AWS, or Google Cloud)* * Machine learning model lifecycle and deployment practices* * IT service management and workflow orchestration tools (for example, ServiceNow, PagerDuty, Rundeck)* Personal \& Professional Development We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Work Location: Karnataka, India Availability: Full time
Job Title: Senior Analytics Engineer Company: Metlifecare Job Category: Machine Learning Roles & Responsibilities: This is a pivotal opportunity to help shape Metlifecare's data and analytics capability as we continue our journey from descriptive reporting to predictive analytics and AI\-driven decision making. This is a senior, hands\-on role where you will lead the design and delivery of advanced analytics, predictive modelling and machine learning solutions that support smarter business decisions across the organisation. Working closely with the Data \& Analytics Lead, you will assist in building trusted data products, influence technical standards, and mentor fellow Analytics Engineers. Kery Responsibilities * Lead the design and delivery of complex analytics, predictive modelling and machine learning solutions. * Build and maintain scalable data products using Snowflake, dbt, Fivetran, Python and Power BI. * Design dimensional models, semantic layers and AI\-ready data products that enable self\-service analytics. * Develop, deploy and manage production machine learning models, including performance monitoring and ongoing optimisation. * Partner with business stakeholders to identify opportunities where data can drive value and better outcomes. * Provide technical leadership through code reviews, mentoring and coaching. * Champion best practice across analytics engineering, testing, CI/CD, documentation and data governance. * Contribute to innovation initiatives and help shape the future analytics and AI roadmap. * Demonstrated experience leading technical delivery and guiding others * Strong solution design, critical thinking and problem\-solving skills * The ability to translate complex technical concepts for a range of stakeholders * A collaborative approach with a genuine passion for coaching and developing others * Experience within healthcare, aged care or retirement living would be advantageous, but is not essential. Established in 1984, Metlifecare is a leading owner and operator of retirement villages, providing rewarding lifestyles and care to more than 7,400 New Zealanders. We pride ourselves on providing retirement communities in which people are empowered to be the very best version of themselves. Metlifecare currently operates over 37 villages located around New Zealand and employs over 2000 staff. * 3 paid wellness days per annum * 1 paid day of leave to celebrate your birthday each year * Health Insurance \- automatic cover free to all permanent staff * 26 weeks of parental leave on full pay and 5 days paid leave for partners. * Kiwisaver payments continued for those opted in over the age of 65 years * Employee assistance program (EAP) * Refer a friend incentive of up to $1500\* * Access to thousands of online training modules and courses from some of the world's leading learning specialists * Education, Development and Training Support Not sure if this role is for you but interested in what else Metlifecare has to offer? Then please visit our careers page www.careers.metlifecare.co.nz/home to see our other current vacancies. Location(s) Newmarket (Metlifecare Support Office) Work Location: Newmarket, N, New Zealand Availability: Full time
Job Title: Senior Scientist (Data) Company: MetService Job Category: Machine Learning Roles & Responsibilities: Kōrero mō te tūranga \- About the role Turn advanced data science into practical scientific solutions. As our Senior Scientist – Data, you’ll lead and contribute to research and innovation in machine learning and data science, tackling complex challenges and strengthening MetService’s capabilities and services. The role is approximately 20% applied research, 60% solution development and deployment, and 20% technical leadership and mentoring. You’ll design and deliver complex projects, develop new methodologies and explore emerging technologies. Working across science, operational, digital and commercial teams, you’ll translate scientific insights into usable solutions, advise on significant technical decisions and help shape research\-funding proposals. Technical leadership and knowledge\-sharing are central to this role. Through peer review, mentoring and coaching, you’ll support colleagues to develop their expertise and champion scientific excellence. This is a technical leadership position with no direct reports. * Extensive practical knowledge of machine learning, deep learning and statistical techniques. * Experience deploying and maintaining machine learning models in operational or near\-real\-time systems, and working with large datasets. * Excellent scientific computing skills, including proficiency in Python. * A proven record of technical project leadership and the ability to manage multiple concurrent priorities through to successful outcomes. * Strong scientific and technical writing in English, with the ability to make complex ideas clear to different audiences and provide training and support at postgraduate level. Ētahi kōrero hai āwhina I a koe \- Why you should join our team Bring your scientific curiosity to work with practical purpose. This role offers the opportunity to explore emerging technologies while developing solutions that support MetService’s strategic objectives and services. You’ll connect with expertise across disciplines, contribute to significant scientific and technical decisions, and build capability in others through mentoring and knowledge\-sharing. It’s an opportunity to combine advanced research, hands\-on delivery and technical leadership. Me pēhea te tono \- How to apply? For more information about the role, please read the job description. Work Location: Wellington, Wellington, New Zealand Availability: Full time
Job Title: AI Training Specialist - Python Developer Company: Rise Data Labs Job Category: Machine Learning Roles & Responsibilities: About Rise Data Labs Rise Data Labs is a leading AI training and data annotation company that specializes in creating high\-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation. AI Training Specialist \- Python Developer We are seeking a skilled AI Training Specialist with a strong background in Python coding to join our dynamic team at Rise Data Labs. This role will involve training and enhancing AI models through meticulous data annotation and validation of AI\-generated content. Key Responsibilities * Competitive hourly rate ranging from $15 to $45 based on experience. * Opportunities for professional development and growth within the company. * A supportive and innovative work environment. * Flexible working hours and remote work options. Work Location: New Zealand Availability: Full time
Job Title: Lead Machine Learning Engineer Company: Halter Job Category: Machine Learning Roles & Responsibilities: About The Role. Halter’s Predictive Systems group is dedicated to the development of advanced models to provider farmers with the most accurate insight to optimise their operations. To provide farmers with the highest quality insights, we’re building upon the bleeding edge of scientific advancements with unmatched access to rich, novel data to develop a cutting edge agricultural modelling system. You’ll play a pivotal role in one of the machine learning teams within the group, where you could be building advanced models of pasture growth and land properties that power intelligent, modelling animal state, health and activity, and much more. Applications could range from remote sensing of pasture biomass, identification of animal heat events, to grazing interval simulation for advanced recommendations. You will be owning end to end development of machine learning pipelines, advanced contemporary modelling, to deployment and monitoring. You will work with great team\-mates in engineering, product and design to achieve outsized results. The impact of our work is profound, and we take that responsibility seriously. As a member of the group, you'll share our passion for technology and our commitment to optimizing the management of pastural grazing systems. You will be responsible for: * 🌱Modeling, from biological processes to farm operations: You will drive development of predictive systems to solve real\-world challenges faced by farmers. * 📚Research, from technical to agriculture: you will be required to conduct extensive literature reviews, and stay ahead of the curve with respect to both machine\-learning systems, and pasture science. * 🛠️Model development: design, dataset construction, training and optimization: Rarely do we utilize a model off the shelf. You will own the architectural design, and all phases of model development. * 👀Supporting your work in production: Halter engineers demonstrate a high level of ownership. We support what we build, and we learn from our systems behavior in the field. * 🧠Proactive innovation: As a member of the data discipline it is expected that you will exercise a high degree of creativity to proactively deliver innovative ideas. If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Why our team loves working at Halter: * Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. * Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. * You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. * This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!" Work Location: Auckland, New Zealand Availability: Full time
