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US Europe Unlimited PTO

  • Design and deliver advanced solutions that generate predictions from a wide range of Computer Vision models.
  • Build and evolve key components of the Roboflow Platform to ensure seamless, reliable model deployment at scale.
  • Contribute to and maintain Roboflow’s open-source projects, helping grow and support the broader developer community.

PyTorch TensorFlow

8 jobs similar to Machine Learning Engineer - Deployments Team

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Europe Unlimited PTO

  • Convert and Ship CVML R&D ideas to Axon Products.
  • Research and develop advanced MLLMs, GenAI, and Computer Vision techniques for cloud, devices and sensors from multimodal data sources.
  • Design and implement efficient and scalable MLLM models for inference and analysis of visual data.

Axon is on a mission to Protect Life with their ecosystem of devices and cloud software. Life at Axon is fast-paced, challenging and meaningful with a focus on growth and making a difference.

  • 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.

Europe

Continuously improve the performance and scalability of ML models. Build and deploy models from inception to live in production pipelines. Advocate for code and process improvements across your team, and help to define best practices based on personal industry experience and research.

BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development.

  • Design, build, and deploy machine learning models for personalization, automation, and insights.
  • Manage the full ML lifecycle: data preprocessing, feature engineering, training, tuning, evaluation, deployment.
  • Integrate ML outputs into user-facing products and backend systems.

BJAK is a leading digital insurance platform, helping millions of users access affordable and transparent financial protection.

US Unlimited PTO

  • Lead the design, development, and deployment of AI/ML models.
  • Build and maintain production-grade ML pipelines and model monitoring.
  • Mentor and develop junior AI engineers, laying the foundation for AI best practices.

Payabli enables any software company to become a payments company through its payment infrastructure and monetization platform to boost enterprise value.

$225,000–$250,000/yr
Europe

  • Apply state-of-the-art AI/ML techniques to develop cybersecurity solutions addressing complex real-world challenges.
  • Collaborate with cross-functional teams to translate prototypes into production-ready systems.
  • Contribute to research initiatives, keeping the team at the forefront of AI/ML and cybersecurity innovations.

This position is posted by Jobgether on behalf of a partner company.

Europe

Design and implement ML models for behavior prediction, anomaly detection, and risk scoring. Develop and fine-tune transformer-based models. Partner with product and engineering to translate business problems into data science solutions.

Teramind is the leading platform for user behavior analytics, serving multiple use cases from insider risk mitigation to business process optimization.

Latin America

  • Lead the design and deployment of advanced AI inference systems for high-profile clients.
  • Translate complex business problems into robust, real-time AI architectures.
  • Partner with technical teams and clients to deliver scalable, high-performance solutions on modern GPU and cloud infrastructure.

Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against a role's core requirements.