Ml Services Software Development Engineer Jobs

ML Services Software Development Engineer — Bucharest. Apply via Workday.

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Development Engineer in Test San Mateo, CA Role Overview Sony Interactive Entertainment LLC seeks a Senior Software Development Engineer in Test in San Mateo, CA to design, develop, and maintain automated testing frameworks and tools for PlayStation console and platform applications using both internal and external Python-based technologies. Requirements Master’s degree in Computer Science, Computer Engineering, or related field or equivalent, and two (2) years of experience in containerizing ML services and exploring Kubernetes-based deployments to support scalable service infrastructure; leveraging Amazon Web Services (AWS) technologies, including EC2, S3, and Lambda, to support model training, storage, and deployment workflows; implementing cloud-based ML infrastructure and monitoring solutions to improve system reliability and availability; utilizing Python and ML libraries including Scikitlearn and Pandas to build predictive models, perform data preprocessing and feature engineering, and generate analytical insights; applying supervised learning, anomaly detection, and optimization algorithms to support system tuning and predictive analytics; creating real-time ROI and analytics dashboards using Tableau to support data-driven decision-m

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects.

Backend Engineer (Senior Level) - SDE IV We're looking for a Senior Backend Engineer to lead the architecture and evolution of backend services that deploy and serve machine learning models in production. You'll work closely with ML Engineers, Platform, and Product teams to build scalable, reliable systems and drive technical direction across multiple teams. What You’ll Do Design and drive the long-term architecture of backend services for biometrics and ML model serving. Collaborate with core platform and backend teams on organization-wide architectural initiatives. Partner with business and engineering teams to design and deliver cross-cutting platform capabilities. Lead architectural reviews, mentor engineers, and promote engineering best practices. Build and maintain backend services for deploying and serving ML models Monitor service reliability, performance, and scalability in production Deploy and operate services on AWS using ECS + Fargate, SageMaker, or EC2 + Kubernetes Support real-time and batch inference workflows Contribute to CI/CD pipelines and deployment automation What We’re Looking For Strong expertise in backend development using Java and working knowledge of Python. Experience mentoring engineers and driving architectural decisions. Working knowledge of Python, especially for ML-related workflows Hands-on experience with AWS (e.g., DynamoDB, ECS, EC2, Redis, S3, SageMaker) Familiarity with Terraform or other infrastructure-as-code tools, and experience with CI/CD and production monitoring Experience with observability tools (Datadog, New Relic, etc.) Experience with containers and orchestration (Docker, ECS, etc.) Understanding of how ML models are deployed and served in production Experience with Kubernetes Nice to Have Experience with MLOps or ML platform engineering. Experience with asynchronous programming and event-driven systems. Jumio Values: IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation Equal Opportunities :

The Opportunity Typography is central to how ideas are communicated. If you're passionate about beautifully created design, have deep curiosity about what AI can do, and take personal responsibility for creating products that people love; then this may be the role for you. Adobe Fonts supports millions of creatives in choosing and using typefaces across fonts.adobe.com, Express, Photoshop, Illustrator, Acrobat, and more Creative Cloud platforms. Our Internal Services team provides the platform engineering and deployment backbone for all of these. We manage CI/CD, deployment approaches, the services and data layers our engineers depend on, our observability and security stance, and increasingly the agentic tools that transform how our entire organization delivers software. We're seeking a Senior Software Development Engineer to lead this exciting journey in our San Francisco location. What you'll do Own and evolve our deployment platform. Lead strategy for CI/CD, PR environments, and release safety across a mixed fleet that includes containerized services, serverless services, and static front ends. Build the foundation for AI-accelerated development. Help build our agent factory and grow our internal agentic toolkit and skill library. Ship inference applications at scale. Take greenfield services from spec to production and standardize our ML/inference footprint. Modernize our services for the AI era. Identify where an existing service is held back by its current build and lead the fix. Rethink our security posture for agentic threats. Lead how we secure autonomous agents and their tool use. Expose Adobe Fonts to the agentic ecosystem. Extend our Model Context Protocol (MCP) surface and conversational, intent-based font discovery. Work higher up the stack, too. Contribute directly to search, browse, discovery, and the customer-facing experie

About Us Are you ready to build the future of the supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team You'll join the Full Stack group within Cloud Services, which is being built now. Today, production and analytical workloads share a single database, and each product defines its own metrics. This team exists to fix that by designing and building the warehouse, transformation layers, and semantic model from the ground up. You'll work closely with Full Stack, ML, Product, Security, and Customer Success. About the Role Most data engineers early in their careers maintain one slice of a large, mature platform, or build pipelines against a model someone else designed years ago. This role is the opposite. As an SDE II, Data Engineer, you'll be one of the first engineers building Gather AI's data foundation from scratch. The work includes: Moving analytics off our production PostgreSQL database Writing the layered dbt models every product will share Defining metrics once so they stay consistent everywhere Linking structured records back to the drone images and video they came from You'll start by shipping well-scoped pipelines and models on our Drone product alongside senior engineers. From there, you'll grow toward owning a dat

The SDET is responsible for embedding quality throughout the software development lifecycle by combining Automation, API validation, and AI-driven quality practices to ensure reliable and scalable solutions. Acting as a strategic partner to Product, Engineering, and DevOps teams, the role helps Veriforce deliver high-quality software that supports the company's commitment to safety, compliance, and customer success. • Test Planning: Collaborate within a cross-functional scrum team to understand project requirements, define test strategies, and develop comprehensive test plans. • Test Case Development: Design, document, and maintain detailed test cases and test scenarios to validate functionality, customizations, performance, security, and integrations. • Automation Testing: Develop and maintain automated test scripts using industry-standard tools and frameworks to improve testing efficiency, coverage, and repeatability. AI agent assistance will be leveraged wherever possible. • API & Data Validation: Design and execute tests to validate APIs, data flows, and system integrations, ensuring accuracy, consistency, and security of data across services and environments. Collaborate with developers to troubleshoot and resolve interface and data-related issues. • Manual Testing: Perform thorough manual testing of applications, identifying and documenting defects, and working closely with developers to ensure timely resolution. • CI/CD Integration: Integrate automated tests into the CI/CD pipeline to ensure rapid and reliable feedback on code quality. Work closely with DevOps and engineering teams to enable continuous testing and maintain test stability in dynamic deployment environments. • AI/ML: Integrate AI/ML-driven approaches for intelligent test generation, dynamic test prioritization, anomaly detection, and predictive quality analytics to accelerate feedback loops and optimize test coverage • Performance Testing: Evaluate the performance and scalability of application

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Job Description/ Responsibilities: Designing, developing and maintaining stable and reliable AI/ML Ops platforms / pipelines Minimum experience of 4-6 Years required in AI ML Ops Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production. Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow. Security & Compliance: Implementing data security measures, ensuring compliance with data governance

We are looking for a highly motivated AI/ML Software Engineer to join the Enterprise Agentic AI Platform team within IT. You will work closely with Business Analysts, and Engineering teams to design, develop, and deploy enterprise AI solutions that improve productivity and automate business workflows across Engineering, Operations, and Manufacturing. What you'll be doing: Design, develop, and deploy Agentic AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration frameworks. Build scalable AI services and reusable components integrated with enterprise applications such as PLM, SAP, and other business systems. Collaborate with business and IT teams to translate business requirements into AI-driven solutions. Develop secure, scalable APIs and enterprise integrations to enable intelligent workflows and automation. Improve AI solution quality, performance, and reliability through prompt engineering, evaluation, and continuous optimization. Partner with cross-functional teams throughout the Software Development Lifecycle (SDLC), from solution design through deployment and production support. What we need to see: Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or a related field. 6+ years of software engineering experience with strong proficiency in Python and backend application development. Hands-on experience with Generative AI, LLMs, RAG, AI agents, REST APIs, and cloud-native application development. Experience integrating enterprise applications and building scalable, production-ready software solutions. Strong analytical, problem-solving, communicatio

About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com . About the Role We’re on the lookout for an ambitious and technically outstanding Senior Software Engineer, Backend Development to join our Enterprise Solution Engineering Team, Product Recommendation (ES REC) . Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. In this role, you will be at the forefront of AI innovation, designing and building scalable backend architecture that delivers personalized experiences. What You’ll Do Key owner of sizable engineering projects and services within the ES REC team. Architect and implement AI Agents and agentic workflows to automate decision-making processes and enhance recommendation delivery. Build and optimize Machine Learning pipelines for large-scale personalization, ensuring efficient data processing, model serving, and low-latency response. Design and operate scalable, cloud-native architectures leveraging managed services (e.g., GKE, BigQuery, or Pub/Sub ) to support high-throughput recommendation workflows. Architect and operate resilient ML job execution frameworks covering training, inference, and post-processing workflows to ensure system elasticity. Define and implement CI/CD pipelines with tools like Jenkins or ArgoCD to enable seamless, automated, and reliable deployments. Lead system designs and provide technical guidance to team me

Position Overview As a Senior Staff Software Engineer on Diligent's Platform AI team, based out of our technical center of excellence in Vancouver, you will drive the architecture and technical direction of the services that bring AI research and models into production across Diligent's global product suite. You will partner with AI researchers, product managers, and Staff Engineers as peers — leading through influence across the Platform AI organization rather than through reporting authority, on secure, scalable AWS Serverless solutions that translate ML and LLM research into commercial-quality, production systems. Key Responsibilities Drive technical direction and architecture for ML/LLM systems across multiple AI platform teams, partnering with Staff Engineers rather than managing ICs in isolation. Design secure, scalable, fault-tolerant AI/ML solutions using AWS Serverless technology — event-driven, highly observable, with infrastructure as code. Evaluate and prototype new AI technologies (LLM frameworks, model providers, agentic tooling) to guide build-vs-buy decisions across the organization. Serve as the go-to contact for architecture problems and questions across the Platform AI org, and regularly present and guide architecture discussions department-wide. Mentor Staff Software Engineers and Applied Scientists through constructive code review and design partnership. Collaborate with Applied Scientists and Product teams to productize AI capabilities, translating multi-quarter AI strategy into execution roadmaps and representing engineering's perspective to senior leadership. Design, build, and scale search and retrieval systems — including OpenSearch and semantic/vector search — that power discovery, retrieval-augmented generation, and other AI-driven product features. Lead through ambiguity, helping teams navigate undefined problems to successful delivery. Required Experience/Skills 10-15+ years of professional experience developing and owning high-scale, s

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: The Director of Finance Systems Engineering is a technology and engineering leader responsible for delivering and evolving systems that enable critical Finance capabilities. Reporting to a Senior Director in IT, this role will lead teams responsible for enterprise planning and forecasting platforms, custom-built Finance solutions, and SaaS applications that complement the core SAP ERP ecosystem. The Director will lead a multidisciplinary team that includes planning model builders, systems analysts/product owners/TPMs, and software engineering professionals. This leader will partner closely with Finance to translate business priorities and transformation objectives into scalable technology solutions that simplify processes, improve decision making, and enable greater use of data, automation, AI, and machine learning. A key responsibility of the role is strengthening the team’s ability to connect Finance domain expertise with specialized data and machine learning capabilities, enabling Finance to translate its AI and ML objectives into scalable solutions. The successful candidate will combine strong engineering and people leadership with Finance domain knowledge and experience across enterprise planning platforms, custom software development, SaaS sol

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary : Our team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. We’re working on building an efficient marketplace of jobseekers and employers and need senior data engineers to build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure and a variety of other systems all to help connect people to their next job. We provide an essential service and have a thriving business as a result. Our stack is complex and we’re looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system. We’re working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people’s lives. Responsibilities: Build data processing and exploration pipelines along with ML infrastructure to power our intelligence Deploy a range of cloud-based technologies for critical projects Write, test, instrument, and deploy code to our Kubernetes environment Help drive the innovation and evolution of ZipRecruiter Minimum Qualifications: 5+ years of professional software development experience with a focus on Python and big data technologies Experience with Spark, Kafka, Hadoop, Hive, and/or

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary : Our team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. We’re working on building an efficient marketplace of jobseekers and employers and need senior data engineers to build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure and a variety of other systems all to help connect people to their next job. We provide an essential service and have a thriving business as a result. Our stack is complex and we’re looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system. We’re working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people’s lives. Responsibilities: Build data processing and exploration pipelines along with ML infrastructure to power our intelligence Deploy a range of cloud-based technologies for critical projects Write, test, instrument, and deploy code to our Kubernetes environment Help drive the innovation and evolution of ZipRecruiter Minimum Qualifications: 5+ years of professional software development experience with a focus on Python and big data technologies Experience with Spark, Kafka, Hadoop, Hive, and/or

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary : Our team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. We’re working on building an efficient marketplace of jobseekers and employers and need senior data engineers to build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure and a variety of other systems all to help connect people to their next job. We provide an essential service and have a thriving business as a result. Our stack is complex and we’re looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system. We’re working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people’s lives. Responsibilities: Build data processing and exploration pipelines along with ML infrastructure to power our intelligence Deploy a range of cloud-based technologies for critical projects Write, test, instrument, and deploy code to our Kubernetes environment Help drive the innovation and evolution of ZipRecruiter Minimum Qualifications: 2+ years of professional software development experience with a focus on Python and big data technologies Experience with Spark, Kafka, Hadoop, Hive, and/or