Kubeflow Jobs

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🔥 AI / ML Engineer (m/f/d)

Posted about 18 hours ago

📍 EU

🔍 Digital healthcare

Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, Natural Sciences, or a related field.
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Experience with Machine Learning tools like Databricks or Azure ML.
Strong programming skills in Python and experience with Git or version control mechanisms.
Proficiency in cloud platforms (AWS, Azure, GCP etc.) and containerization (Docker, Kubernetes etc.).
Experience with CI/CD tools (e.g., Jenkins, GitLab, GitHub Actions) and ML workflow tools (e.g., MLflow, Kubeflow etc.).
A passion for leveraging AI/ ML to solve complex challenges and deliver meaningful results.

Build, deploy or leverage AI and ML models and algorithms to solve real-world problems in digital healthcare.
Develop and maintain robust machine learning pipelines and infrastructure for scalable solutions.
Work with cross-functional teams to integrate AI capabilities into key business operations and systems.
Stay ahead of the curve by researching and implementing the latest advancements in AI and ML.
Conduct rigorous testing and optimization to ensure the reliability and efficiency of AI / ML solutions.

Docker Python Kubeflow Kubernetes Machine Learning MLFlow PyTorch Azure Tensorflow CI/CD

Posted about 18 hours ago

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🔥 Machine Learning Engineer, Search (multiple levels)

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 185800.0 - 322000.0 USD per year

🔍 Technology, Internet Services

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff over 1 year agoNews Content Social Network Social Media

3-10+ years of industry experience as a machine learning engineer or software engineer developing backend/infrastructure at scale.
Experience building machine learning models using PyTorch or Tensorflow.
Experience with search & recommender systems and pipelines.
Production-quality code experience with testing, evaluation, and monitoring using Python and Golang.
Familiarity with GraphQL, REST, HTTP, Thrift, or gRPC and design of APIs.
Experience developing applications with large scale data stacks such as Kubeflow, Airflow, BigQuery, Kafka, Redis.

Develop and enhance Search Retrievals and Ranking models.
Design and build pipelines and algorithms for user answers.
Collaborate with product managers, data scientists, and platform engineers.
Develop and test new pipeline components and deploy ML models.
Ensure high uptime and low latency for search systems.

GraphQL Python Kafka Kubeflow Machine Learning PyTorch Airflow Redis Tensorflow

Posted 3 days ago

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🔥 Staff Software Engineer, Backend (ML Platform)

Posted 7 days ago

📍 CA, WA, NY, NJ, CT, all other U.S. states

🧭 Full-Time

💸 200000.0 - 275000.0 USD per year

🔍 Financial Technology

8+ years of experience designing, developing, and launching backend systems using Python or Kotlin.
Extensive experience with highly available distributed systems utilizing AWS, MySQL, Spark, and Kubernetes.
Experience with online, real-time ML infrastructure like model servers or feature stores.
Developed offline environments for large scale data analysis and model training using Spark, Kubeflow, Ray, and Airflow.
Experience delivering major system features and writing high quality code.
Comfortable navigating from low-level language idioms to large system architecture.
Mastered gathering feedback and strong communication skills.
Bachelor's degree in a related field or equivalent practical experience.

Responsible for setting technical strategy for the team on a year-long time scale and linking it with business-impacting projects.
Collaborate across teams in the ML development lifecycle with machine learning engineers, platform engineers, and product management.
Act as a force-multiplier, defining and advocating for technical solutions and operational processes.
Ensure team operations and availability through monitoring, triage rotations, and testing.
Foster a culture of quality and ownership by setting standards and advocating beyond the team.
Develop talent by providing feedback, guidance, and leading by example.

AWS Python Apache Airflow Kotlin Kubeflow Kubernetes MySQL Spark

Posted 7 days ago

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🔥 Senior Machine Learning Engineer

Posted 7 days ago

📍 Australia

🔍 AI

Strong experience with MLOps pipelines using Kubeflow, MLflow, or similar.
Proficiency in Python for maintainable code.
Hands-on experience with AWS services like S3, EC2, and SageMaker.
Deep understanding of container orchestration tools like Kubernetes.
Experience designing scalable ETL pipelines with SQL and NoSQL databases.

Design, build, and maintain MLOps pipelines for machine learning model lifecycle.
Collaborate with DevOps teams for cloud infrastructure management, focusing on AWS.
Implement CI/CD pipelines for smooth transitions from research to production.
Design scalable data pipelines for data collection and processing.
Deploy and monitor machine learning models in production.

AWS Docker Python SQL ETL Kubeflow Kubernetes MLFlow Grafana Prometheus Nosql CI/CD Terraform

Posted 7 days ago

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🔥 Cloud Solutions Architect

Posted 10 days ago

📍 US, Canada

🧭 Full-Time

💸 125000.0 - 175000.0 USD per year

🔍 AI cloud infrastructure

5+ years of experience as a cloud solutions architect, system/network engineer, or developer with a focus on cloud computing.
Strong hands-on experience with Infrastructure as Code (IaC) tools, preferably Terraform or Ansible.
Experience with Kubernetes and proficiency in writing code in Python.
Solid understanding of GPU computing practices for ML training and inference workloads.
Familiarity with GPU software stack components including drivers and libraries (e.g., CUDA, OpenCL).
Excellent communication skills and a customer-centric mindset.

Act as a trusted advisor to clients, providing technical expertise throughout engagements.
Conduct Proof of Concept (PoC), workshops, presentations, and training sessions to educate clients on GPU cloud technologies.
Collaborate with clients to understand business requirements and develop aligned solution architecture.
Design and document Infrastructure as Code (IaC) solutions in collaboration with support engineers.
Help customers optimize pipeline performance and scalability for efficient utilization of cloud resources.
Serve as the single point of expertise for customer scenarios for product and technical support.
Assist marketing department during events like hackathons, conferences, and webinars.

Python Cloud Computing Kubeflow Kubernetes PyTorch Tensorflow Terraform Ansible

Posted 10 days ago

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🔥 Staff Machine Learning Engineer

Posted 17 days ago

📍 United States

🧭 Full-Time

💸 178000.0 - 228000.0 USD per year

🔍 Financial Technology

8+ years of experience as a machine learning engineer, with a relevant PhD counting for up to 2 years.
Experience developing ML models at scale from inception to business impact.
Proficiency in various ML techniques like Generalized Linear Models, Gradient Boosting, Deep Learning.
Strong engineering skills in Python and data manipulation using SQL.
Experience with large-scale distributed systems like Spark or Ray.
Familiarity with open-source tools such as scikit-learn, pandas, NumPy, XGBoost, PyTorch, Kubeflow.
Experience with Kubernetes, Docker, and Airflow is a plus.
Excellent written and oral communication skills.

Use proprietary and third-party data to develop ML models predicting default likelihood.
Partner with engineering teams to build model systems for training, decisioning, and monitoring.
Research and prototype innovative solutions for credit decisioning.
Implement and scale essential data pipelines and features for production models.
Collaborate across teams to define requirements for new products.

Docker Python SQL Apache Airflow Kubeflow Kubernetes Machine Learning PyTorch Spark

Posted 17 days ago

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🔥 (865) AI Engineer

Posted 22 days ago

📍 Latin America

🔍 Staff augmentation

🏢 Company: Nearsure👥 501-1000 Staffing Agency Outsourcing Software

Bachelor's Degree in Computer Science, Engineering, or a related field.
9+ Years of experience working with Cloud Computing.
2+ Years of experience working with GCP (Console, Vertex AI & DialogFlow).
2+ Years of experience working with Machine Learning (PyTorch/Tensorflow).
1+ Years of experience working with LLMs.
Experience with the development of AI products.
Experience working with Open Source, Big Data and numerical programming frameworks.
Advanced English Level is required.

Design, develop, and optimize AI solutions using machine learning and large data frameworks.
Build scalable AI products and infrastructure in cloud environments.
Apply machine learning operations frameworks for model deployment and management.
Stay current with emerging AI technologies and integrate them into solutions.
Ensure responsible AI practices and address ethical considerations in AI systems.
Collaborate with teams to align AI solutions with business needs and goals.

Cloud Computing GCP Kubeflow Machine Learning PyTorch Tensorflow

Posted 22 days ago

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🔥 Sr. Machine Learning Ops Engineer

Posted 25 days ago

📍 United States

💸 170000.0 - 190000.0 USD per year

🔍 Consumer smart home technology

🏢 Company: Sense👥 251-500💰 $50,000,000 Series D about 3 years agoInternet Staffing Agency Human Resources SaaS Recruiting Professional Services Software

5+ years of experience designing, building, and maintaining production AI/ML applications.
Strong programming skills in languages such as Python, C, etc.
Experience with ML libraries including PyTorch, scikit-learn, TensorFlow.
Cloud experience, preferably with AWS.
Experience with frameworks such as MLFlow, Kubeflow, Airflow, Docker, etc.
Strong communication and collaboration skills.
Must be authorized to work in the U.S.

Design, build, and maintain model training and serving infrastructure for CI/CD.
Collaborate with data scientists and data engineers to improve productivity by increasing automation for model training and experimentation workflows.
Provide technical leadership to data engineers.
Support annotation and ground truth collection through tool improvement and automation.
Champion best practices for data science software development processes and serve as architect for shared data science software libraries.
Work with the infrastructure guild to upgrade and patch libraries; maintain and optimize pipelines.
Ensure data science production software is robust and scalable.
Identify and implement cost savings; monitor and manage costs.

AWS Docker Python Kubeflow MLFlow PyTorch Airflow Tensorflow CI/CD

Posted 25 days ago

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🔥 Infrastructure and Security, Engineering Manager

Posted about 1 month ago

📍 United States, United Kingdom, Canada

🧭 Full-Time

💸 190000.0 - 230000.0 USD per year

🔍 Mining technology, mineral exploration

🏢 Company: KoBold Metals👥 101-250💰 $491,455,627 Series C 4 months agoArtificial Intelligence (AI)Mineral Mining Software

5+ years of experience in software engineering focused on cloud infrastructure management and cybersecurity.
2+ years of leadership experience managing technical teams.
Expertise in Python and cloud system deployment on AWS, GCP, or Azure using infrastructure-as-code tools.
Experience with Kubernetes and monitored deployments.
Knowledge of secure, scalable data management systems.
Experience with machine learning model deployment.

Understand cloud technology uses for infrastructure decision-making.
Build interdisciplinary relationships to tailor infrastructure engineering.
Implement and maintain scalable, secure cloud-based systems.
Oversee IT team including hardware, network, and software licenses.
Enhance cybersecurity measures.
Lead working cadence and planning processes.

AWS Python Cybersecurity Kubeflow Kubernetes Terraform

Posted about 1 month ago

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🔥 Senior Staff Engineer, AI/ML (India)

Posted about 1 month ago

📍 India

🧭 Full-Time

🔍 Digital creative agency

🏢 Company: Code and Theory👥 251-500 Advertising Web Design

10-15 years of experience in data analytics, engineering, management, and AI frameworks, with expertise across the data lifecycle
Advanced knowledge of data engineering, data analytics, and AI tools and frameworks
Expertise in one or more major data analytics and AI platforms
Completion of two or more certifications in data analytics, AI, or cloud-based platforms
Proven ability to mentor team members, lead technical discussions, and propose innovative solutions
Experience in managing client projects, creating standards, and ensuring architectural integrity
Strong ability to engage with client technical stakeholders and negotiate acceptable solutions
Relevant certifications in data analytics, AI, or cloud platforms are required

Serve as an expert across the entire data lifecycle: preprocessing, analysis, visualization, model development, deployment, and monitoring
Provide technical guidance on frameworks, platforms, and tools related to data analytics and AI
Propose accelerators, reusable models, and scalable solutions to optimize development efforts
Mentor junior team members in data engineering, analytics frameworks, and AI/ML tools
Lead discussions to establish frameworks, standards, and best practices aligned with organizational goals
Develop impactful case studies and participate in showcasing innovative solutions to support business growth
Act as a subject matter expert during client interactions for active projects, business development, or growth opportunities
Lead feature engineering, model selection, and deployment strategies for client projects
Negotiate technical solutions with client stakeholders and align them with architectural principles and project requirements
Lead and review team solutions to ensure scalability, best practices adherence, and standards alignment
Create and implement project-specific standards where core standards are absent
Drive the successful completion of client projects by delivering high-quality data and AI solutions

AWS Python SQL Artificial Intelligence Cloud Computing ETL Kubeflow Machine Learning PyTorch Data engineering Tensorflow Data visualization Data modeling Data analytics Data management

Posted about 1 month ago

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