Kubeflow Jobs

Find remote positions requiring Kubeflow skills. Browse through opportunities where you can utilize your expertise and grow your career.

32 jobs found. to receive daily emails with new job openings that match your preferences.

32 jobs found.

Set alerts to receive daily emails with new job openings that match your preferences.

Apply

🔥 DevOps (MLOps) Engineer

Posted 2024-11-21

📍 United States

🏢 Company: ARFA Solutions, LLC

Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field.
5+ years of experience in DevOps or MLOps roles.
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Proficiency in programming languages such as Python, R, or Java.
Strong understanding of cloud platforms (AWS, Azure, or GCP) and their machine learning services.
Experience with containerization technologies, particularly Docker, and orchestration tools like Kubernetes.
Knowledge of CI/CD tools like Jenkins, GitLab CI/CD, or Azure DevOps.
Familiarity with data pipeline tools and frameworks, such as Apache Airflow or Kubeflow.
Strong problem-solving and analytical skills.
Excellent communication and teamwork abilities.

Design, implement, and manage MLOps pipelines for deploying and monitoring machine learning models.
Collaborate with data scientists to understand model requirements and operationalize models into production environments.
Automate model training, testing, and deployment processes through CI/CD principles.
Monitor and evaluate model performance in production and implement solutions for improvement.
Implement data versioning, model versioning, and tracking systems to ensure reproducibility.
Ensure security and compliance in the deployment of machine learning models.
Document processes and improve collaboration between teams for efficient workflows.
Stay up-to-date with industry trends and technologies in MLOps and machine learning.

AWS Docker Python Apache Airflow GCP Java Jenkins Kubeflow Kubernetes Machine Learning PyTorch Airflow Azure Data science Tensorflow Analytical Skills Collaboration CI/CD DevOps Compliance

Posted 2024-11-21

Apply

🔥 Engineering Manager - MLOps & Analytics

Posted 2024-11-21

📍 Asia Pacific, Fukuoka

🧭 Full-Time

🔍 Open source software

🏢 Company: Canonical - Jobs

A proven track record of professional experience of software delivery.
Professional python development experience, preferably with a track record in open source.
A proven understanding of the machine learning space, its challenges and opportunities to improve.
Experience designing and implementing MLOps solutions.
An exceptional academic track record from both high school and preferably university.

Manage a distributed team of engineers and its MLOps/Analytics portfolio.
Organize and lead the team’s processes in order to help it achieve its objectives.
Conduct one-on-one meetings with team members.
Identify and measure team health indicators.
Interact with a vibrant community.
Review code produced by other engineers.
Attend conferences to represent Canonical and its MLOps solutions.
Mentor and grow your direct reports, helping them achieve their professional goals.
Work from home with global travel for 2 to 4 weeks per year for internal and external events.

Leadership Python Cloud Computing Kubeflow Kubernetes Machine Learning MLFlow People Management Strategy Linux Documentation

Posted 2024-11-21

Apply

🔥 Sr. AI/ML Infrastructure Engineer

Posted 2024-11-21

📍 United States

🔍 Mental health care technology

5+ years of industry experience building production-level ML platforms and infrastructure.
Ability to write high-quality code in Python, Java, or Scala.
Experience building production-ready RESTful APIs and scaling platforms for large user bases.
Desire to own parts of an ML Platform with understanding of ML models and principles.
Experience with containers and deploying applications to Kubernetes.
Familiarity with LLMs and building infrastructure for LLM applications.
Experience with relational and low-latency databases.
Experience in transforming data in batch and streaming contexts.
Ability to manage large projects from scoping to delivery.
Strong communication and organizational skills, with the ability to simplify complex problems.

Be part of a team building scalable infrastructure for training, evaluating, deploying, performing inference, and monitoring ML models.
Build, deploy, and maintain generative AI services and applications.
Create data systems to collect, clean, label, and store data used for model features.
Deploy and manage applications in Kubernetes clusters.
Collaborate with Machine Learning engineers to support experimentation platforms and training frameworks.
Work with stakeholders to address requirements for ML infrastructure.

AWS Python Java Kubeflow Kubernetes Machine Learning MLFlow PyTorch Communication Skills RESTful APIs Organizational skills

Posted 2024-11-21

Apply

🔥 Director, Data Science Division (Remote, US)

Posted 2024-11-17

📍 United States

🧭 Full-Time

🔍 Consulting/Biomedical Services

🏢 Company: ICA.ai

Master's or PhD degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
12+ years of experience in data science or a related field.
At least 5 years of management experience leading teams of 10 or more data scientists, ML engineers, solution architects, and data engineers.
Deep expertise in statistical modeling, machine learning algorithms, and AI techniques.
Proficiency with programming languages such as Python and R, and experience with data manipulation libraries (e.g., pandas, NumPy).
Extensive experience with AI/ML frameworks like TensorFlow, PyTorch, scikit-learn.
Strong knowledge of big data technologies (e.g., Hadoop, Spark) and data warehousing solutions.
Advanced knowledge of AWS services (Athena, S3, Glue, SageMaker, Comprehend).
Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow).

Leverage technical expertise and business acumen to collaborate with senior stakeholders.
Ensure the Data Science team has necessary skills and resources to solve client data challenges.
Oversee a team of full-time employees and consultants supporting government clients.
Plan and direct operational policies, objectives, and initiatives.
Develop strategies and drive actions to meet financial and operational goals.
Monitor financial and operational metrics to achieve objectives.

AWS Leadership Project Management Python Agile Artificial Intelligence Cloud Computing Data Analysis Hadoop Kubeflow Machine Learning MLFlow Numpy PyTorch SCRUM Algorithms Data analysis Data science Pandas Spark Tensorflow Communication Skills Collaboration

Posted 2024-11-17

Apply

🔥 Machine Learning Operations Engineer - Intermediate

Posted 2024-11-16

📍 Canada, Kenya, Malaysia, Netherlands, United States

🔍 Supply chain sustainability

2-4 years of experience in MLOps, machine learning engineering, or related fields, with hands-on experience deploying and maintaining ML models in production.
A degree in Computer Science, Engineering, or a related field (Masters level or higher is preferred).
Demonstrable understanding of machine learning and AI principles, models, tools, and their applications.
Strong SQL knowledge for data retrieval.
Proficiency in Python for data extraction and manipulation.
Solid working knowledge of AWS systems and services, including SageMaker, EC2, S3, and Lambda.
Experience with MLOps, versioning, orchestration, and containerization tools such as MLFlow, Kubeflow, Airflow, Docker, and Kubernetes.
Strong understanding of statistical analysis methods.
Excellent analytical and problem-solving skills.

Develop key data pipelines to manage data for ML and AI models in production.
Support a robust ML-Ops framework for model tracking and continuous improvement.
Automate statistical analysis of production ML models.
Collaborate with teams to identify and resolve potential performance and availability issues.
Explore innovative solutions for complex data challenges.
Manage multiple projects and support the Machine Learning team in building data products.

AWS Docker Python SQL Kubeflow Kubernetes Machine Learning MLFlow Airflow Terraform Organizational skills

Posted 2024-11-16

Apply

🔥 Solutions Architect – Cloud and MLOps solutions

Posted 2024-11-15

📍 USA

🔍 AI cloud services

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

Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement.
Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs.
Design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.

Python Cloud Computing Kubeflow Kubernetes PyTorch Azure Tensorflow Communication Skills Collaboration Terraform Documentation

Posted 2024-11-15

Apply

🔥 Senior Learning Engineer, Remote

Posted 2024-11-14

📍 ANY STATE

🔍 Data and technology

5+ years of experience making contributions in the form of code.
Experience with algorithms and data structures and knowing when to apply them.
Experience with machine learning techniques to develop better predictive and clustering models.
Experience working with high-scale systems.
Experience creating powerful machine learning tools for experimentation and productionalization at scale.
Experience in data engineering and warehousing to develop ingestion engines, ETL pipelines, and organizing data for consumption.

Be a senior member of the team by contributing to the architecture, design, and implementation of EMS systems.
Mentor junior engineers and promote their growth.
Lead technical projects and manage planning, execution, and success of complex technical projects.
Collaborate with other engineering, product, and data science teams to ensure optimal product development.

Python SQL ETL GCP Kubeflow Machine Learning Algorithms Data engineering Data science Data Structures Tensorflow Collaboration

Posted 2024-11-14

Apply

🔥 Head of Growth

Posted 2024-11-11

📍 Europe, Middle East and Africa

🧭 Permanent

🔍 Open source technology

🏢 Company: Canonical - Jobs

An undergraduate or postgraduate degree in data science, statistics, mathematics, computer science, or engineering, along with an exceptional academic track record.
Strong analytical mindset and evidence of managing projects that drive commercial success.
Knowledge in advanced marketing analytics and coding/scripting languages like Python, and databases like SQL.
Exceptional management experience leading analytical and creative teams.
Experience in managing a leading-edge martech stack, preferably using open-source software.
Proven ability to collaborate with senior stakeholders and turn questions into analytic projects.
Willingness to travel up to 2-4 times a year for internal events.

Lead the growth engineering team consisting of data analysts, performance marketers, lifecycle marketers, and marketing automation specialists.
Design, implement, and operate Canonical's marketing technology stack.
Manage reporting and analytics throughout the customer lifecycle.
Track OKRs and conversion rates across marketing and revenue funnels.
Optimize lead scoring, lead flow, and cadences to boost conversion rates.
Develop web analytics and SEO practices for organic acquisition.
Drive Return On Ad Spend optimization and ensure marketing data cleanliness.
Champion an experimentation culture and support business processes.

Python SQL Kubeflow Machine Learning People Management Google Analytics Strategy Data science Go Collaboration SEO Documentation

Posted 2024-11-11

Apply

🔥 Field Software Engineer - Spanish/English (Remote)

Posted 2024-11-11

📍 Canada

🧭 Full-Time

🔍 Software, Open-source

🏢 Company: Canonical - Jobs

Experience in AI/ML and MLOps.
Practical knowledge of Linux, virtualisation, containers, and networking.
Sound knowledge of cloud computing concepts and technologies such as Kubernetes, AWS, GCP, Azure.
Intermediate level of Python programming skills.
Excellent communication skills in English and Spanish.
Demonstrated drive for continual learning and good organizational skills.
University degree in Computer Science or related software engineering expertise.

Work across the entire Linux stack, from kernel to applications.
Design and deploy clouds and applications for external customers.
Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, Ceph, Hadoop, and Spark.
Grow a collaborative engineering culture aligned with company values.
Travel up to 25% of the time for internal and external events.

AWS Python Artificial Intelligence Cloud Computing GCP Hadoop Kubeflow Kubernetes Machine Learning Azure Spark Linux Presentation skills

Posted 2024-11-11

Apply

🔥 Cloud Solutions Architect - Alliances

Posted 2024-11-11

📍 Fukuoka, Asia Pacific

🧭 Full-Time

🔍 Open source software and operating systems

🏢 Company: Canonical - Jobs

Extensive experience with Linux (Ubuntu preferred), Kubernetes, Ceph, and software automation.
Experience designing and implementing solutions on top of public or private clouds.
Understanding of Python and bash, along with troubleshooting skills.
Fluent written and spoken English.
Excellent communication and presentation skills.
High motivation, ability to multi-task and follow up reliably on commitments.
Interest in customer-facing engagement, including pitching and demonstrating.
Interest in new technologies like LXD, Juju and Snaps.
Ability to travel globally up to 30% of the time.
Degree in Computer Science, Mathematics, Physics or related technical field experience.

Understand Ubuntu, Linux, networking and services in real-world environments.
Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, Ceph, and Spark either On-Premises or in Public Cloud.
Architect and integrate popular open source software such as PostgreSQL, MongoDB, Kafka, Cassandra and NGINX.
Help partners to offer and architect joint solutions utilizing Canonical’s technologies.
Design and publish joint Reference Architectures and perform technical validations with various partners.
Prepare and run onboarding sessions/workshops with partners’ teams.

AWS PostgreSQL Python Bash IoT Kafka Kubeflow Kubernetes MongoDB Nginx Azure Cassandra Data science Go Spark Linux Presentation skills

Posted 2024-11-11

Apply

Shown 10 out of 32

Kubeflow Jobs

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities