Source Job

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.

• 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.

• Evolve and support real-time machine learning/AI pipelines to build low-latency, high-throughput systems.
• Design and implement cloud solutions using AWS to ensure high performance, scalability, and reliability.
• Guarantee high levels of service availability through being a part of an on-call rotation, following best practices for disaster recovery and business continuity.

Sony Interactive Entertainment (SIE) PlayStation creates unforgettable gaming experiences and is dedicated to building a world-class team.

• 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, 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.

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.

• 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.

• Design, develop, and deploy production-grade machine learning solutions.
• Work on complex ML problems and mentor junior engineers.
• Contribute to building ML accelerators and best practices.

Provectus is an Artificial Intelligence (AI) consultancy and solutions provider. They help companies across industries gain a competitive edge, accelerate growth, and create new value by applying AI technologies and data-driven insights.

• 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.

• 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.

• 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.

• 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, 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.

Deploy and monitor machine learning models in production using tools like Docker, Kubernetes, and MLflow to ensure scalability and reliability. Build and maintain data pipelines using Airflow, Spark, or Kafka to support model training and inference. Integrate ML models into business applications, collaborating with software engineers to operationalize solutions.

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, build, and maintain cloud infrastructure primarily on AWS, with exposure to GCP and Azure.
• Support developers and product teams by troubleshooting infrastructure and deployment issues.
• Enforce and promote security best practices, including least-privilege access and monitoring.

EX Squared LATAM works with international clients to build scalable, data-driven platforms that support complex digital ecosystems. They have a multicultural, LATAM-based engineering team with a culture focused on collaboration, ownership, and continuous improvement.

• Lead development stages for AI/ML projects from exploration to maintenance.
• Design and implement scalable ML pipelines for large datasets with data scientists and network security experts.
• Conduct experiments and analyze results using metrics and visualization techniques.

Corelight is a cybersecurity company that transforms network and cloud activity into evidence for elite defenders. Fueled by accelerating revenue and investments from top-tier venture capital organizations, they are rapidly expanding their team with a geographically dispersed yet connected employee base.

• Design, build, and launch production-grade conversational AI solutions for enterprise clients.
• Collaborate cross-functionally with product managers, designers, and enterprise partners.
• Leverage and contribute to Connectly’s AI platform, working with engineering teams.

Connectly is building the future of conversational commerce in Latin America, starting with WhatsApp. Their 360° AI engagement platform empowers retailers to sell, support, and scale directly inside the app that their customers already use every day. They are a VC-backed Series B startup with a world-class team hailing from Meta, Google, Uber, and other top Silicon Valley companies and operates as a hybrid company.

• Design, develop, and maintain Python-based services and data integrations supporting IAM and access management platforms.
• Deploy, optimize, and manage cloud infrastructure using Infrastructure as Code (Terraform / Terraform Enterprise).
• Collaborate with application and product teams to onboard internally hosted, SaaS, and homegrown applications into centralized data and access frameworks.

Blend is an AI services provider that co-creates meaningful impact for its clients through data science, AI, technology, and people. They are dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy.

As a Senior MLE, debug complex AI implementations and optimize inference performance. Work directly with product teams building solutions and develop blueprints for proven patterns. Operate in a high-velocity environment where priorities shift rapidly based on team needs.

Join the team redefining how the world experiences design.