Source Job

• Architect, build, test, and monitor AWS-based workflows to solve critical business problems
• Develop microservices for ML-driven applications using Python or Java, ensuring scalability and resilience.
• Guarantee high levels of service availability through participation in an on-call rotation.

PlayStation is a global leader in interactive and digital entertainment. They've thrilled gamers since 1994 and are a wholly-owned subsidiary of Sony Corporation, striving to create an inclusive environment that empowers employees and embraces diversity.

• Help define the direction for the team.
• Define and prioritize ML Platform initiatives.
• Enable teams to build features at scale by providing a foundation of reusable software components and infrastructure.

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries.

• Strong computer science or engineering background with 3+ years of coding experience with Python.
• Advanced knowledge of AWS services including but not limited to their ML services (AWS SageMaker and AWS Step Functions).
• Experience with ML monitoring and automation tools (MLflow, SagaMaker Pipelines).

Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.

• Operationalize data science solutions for risk-prediction products.
• Design and build ML pipelines using AWS services and tools like MLflow and Snowflake.
• Implement testing strategies within CI/CD pipelines to maintain high platform quality.

Quanata is on a mission to help ensure a better world through context-based insurance solutions.

• Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes.
• Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility.
• Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale.

At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes.

Lead AI and ML initiatives to design and implement production-grade machine learning systems and pipelines. Develop scalable infrastructure for model training, evaluation, and deployment, ensuring reliability and observability. Collaborate with cross-functional teams to drive innovation and efficiency.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

• Design and manage AWS infrastructure for AI services.
• Implement Infrastructure as Code using Terraform.
• Collaborate with cross-functional teams to enhance performance.

Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

• Design, build, and maintain our petabyte-scale data and ML platform.
• Ensure reliability, security, scalability, and performance across our internal systems.
• Automate deployment pipelines, monitoring, and alerting for ML and data services.

Serve Robotics is reimagining how things move in cities with its personable sidewalk robot designed to take deliveries away from congested streets.

• Design, develop, test, and maintain scalable applications using modern frameworks.
• Actively participate in Agile/Scrum ceremonies, contributing to planning, estimation, and continuous improvement.
• Contribute to architectural design discussions, test planning, and operational excellence initiatives.

Tealium is a trusted leader in real-time Customer Data Platforms (CDP), helping organizations unify their customer data to deliver more personalized, privacy-conscious experiences. Team Tealium has team members present in nearly 20 countries worldwide, serving customers across more than 30 countries, winning together with respect and appreciation.

Run the production environment by monitoring availability and taking a holistic view of system health. Build software and systems to manage platform infrastructure and applications. Improve reliability, quality, and time-to-market of our suite of software solutions.

NICE software products are used by 25,000+ global businesses to deliver extraordinary customer experiences, fight financial crime and ensure public safety.

• Drive the development and implementation of cutting-edge machine learning algorithms.
• Design system and model architectures, conduct rigorous experimentation and model evaluations.
• Collaborate with product, engineering, and analytics teams to build AI functionalities.

At Atlassian, we're motivated by a common goal: to unleash the potential of every team.

• Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications.
• Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines.
• Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems.

Frontier Technology Inc. (FTI) delivers mission-focused solutions to the Department of Defense and Intelligence Community through advanced engineering.

Design, build, and own AWS-based MLOps infrastructure, defining standards for security, automation, cost-efficiency, and governance. Architect and operate production Kubernetes clusters, including containerizing and deploying ML models using Docker and Helm. Build and maintain CI/CD pipelines for training, validation, and deployment of ML workloads, implementing canary, blue-green, and rollback strategies.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

• Design and implement Python services for real-time fraud detection and compliance monitoring.
• Build scalable data pipelines for feature building and model training.
• Develop and operate a developer-friendly ML platform with automated quality checks.

Kraken is a mission-focused company rooted in crypto values, aiming to accelerate the global adoption of crypto for financial freedom and inclusion.

• Act as a trusted advisor to customers, building relationships with technical and business stakeholders.
• Advise on GenAI and ML best practices and give product demos to stakeholders.
• Partner with product and engineering teams to drive the product roadmap and spearhead new opportunities within existing accounts.

Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications.

• Architect, design, and oversee delivery of end-to-end AI/ML solutions.
• Lead cross-functional teams to implement robust ML platforms, pipelines, and applications.
• Communicate the business value and ROI of AI/ML solutions to stakeholders.

Jobgether is using an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. The system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

• Build, maintain and improve Torc ML frameworks.
• Use Terraform, AWS Managed Services, EKS, Ray.
• Focus on data ops, ML development pipeline, logging & aggregation.

Torc has been a leader in autonomous driving since 2007. Now a part of the Daimler family, they are focused solely on developing software for automated trucks to transform how the world moves freight. Their culture is collaborative, energetic, and team focused.

• Design scalable, future-proof data platforms optimized for AI research workloads.
• Build efficient self-serve data processing pipelines leveraging GCP's advanced services.
• Implement guardrails for cost, quality, and performance.

AssemblyAI is at the forefront of Speech AI, creating powerful models for speech-to-text and speech understanding via an API. They're a remote team of startup veterans and AI researchers looking to build one of the next great AI companies.

• Design, scale, and operate resilient, cloud-native infrastructure in AWS with an emphasis on EKS, IAM, RBAC, and modern security-first practices.
• Build and optimize CI/CD pipelines with GitHub Actions and GitHub Advanced Security enabling velocity without compromising safety.
• Own observability across the stack using Datadog (metrics, logging, alerting, and tracing).

DexCare optimizes time in healthcare, streamlining patient access, reducing waits, and enhancing overall experiences. They are committed to creating an inclusive workplace where diversity drives innovation and belonging strengthens collaboration, enabling everyone to thrive.

• Design, build, and maintain custom AWS-native data pipelines using AWS Lambda, AWS Glue, S3, DynamoDB, and EventBridge.
• Develop and support ETL processes that push structured and unlayered data to downstream systems, including Salesforce Marketing Cloud.
• Lead the technical design and availability of AWS services, ensuring solutions are scalable, reliable, and fully supported by AWS-native features.

Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York, delivering top-tier technology solutions to companies of all sizes. Their team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects.