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.
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, 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.
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.
Own the end-to-end lifecycle of ML model deployment—from training artifacts to production inference services.
Design, build, and maintain scalable inference pipelines using modern orchestration frameworks (e.g., Kubeflow, Airflow, Ray, MLflow).
Implement and optimize model serving infrastructure for latency, throughput, and cost efficiency across GPU and CPU clusters.
MARA is building a modular platform that unifies IaaS, PaaS, and SaaS which will enable governments, enterprises, and AI innovators to deploy, scale, and govern workloads across data centers, edge environments, and sovereign clouds. They are redefining the future of sovereign, energy-aware AI infrastructure.
Analyze complex datasets and find insights from data.
Create data models and ETL pipelines for robust and scalable Machine Learning systems.
Work with distributed computing, big data frameworks, Kubernetes, and Docker.
Kinaxis powers the world’s supply chains to help preserve the planet’s resources and enrich the human experience with more than 40,000 users in over 100 countries.
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.
Combine Software Engineering and Data Science disciplines to create production-ready Machine Learning models. Develop frameworks and platform to build, deploy, serve and monitor ML-based services. Contribute to vision and architecture to scale ML solutions at QuintoAndar's business.
We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America, guided by a shared purpose of helping people love the place they live.
Design, train, and operate ML systems that power the Tebra platform.
Own the entire lifecycle from data exploration and model development to deployment.
Push the boundaries of applied ML in healthcare, transforming messy real-world data into reliable automation.
Kareo and PatientPop have joined forces to become Tebra, the digital backbone for practice well-being, helping independent practices bring modernized care to patients.
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.
Build and maintain data pipelines to support machine learning and analytics workflows.
Collect, clean, and transform large, complex datasets from engineering environments.
Develop and train predictive models for yield, performance, and anomaly detection.
We're seeking a Data & AI Engineer at FortifyIQ. The company seems to be in technology, possibly related to silicon design based on the job description.
Contribute to designing, building, evaluating, shipping, and improving Sword’s products by hands-on AI/ML development.
Develop and maintain data processing pipelines for getting the data required to build and evaluate models.
Work alongside the Product, Data & Engineering Teams to define and implement AI/ML-powered features for internal and external users.
Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere.
The Senior Data Scientist will collaborate with cross-functional teams to design, develop, and deploy machine learning models. The role involves research, experimentation, and innovation to advance AI capabilities in financial and operational analytics. The position will also mentor junior team members and contribute to technical strategy, ensuring scalable, reliable, and explainable AI 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.
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 predictive and descriptive analytics initiatives across various domains.
Design research workflows and oversee full-lifecycle development of data-intensive and AI-driven applications.
Partner with teams to translate business challenges into robust, data-backed solutions.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.