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Lorven Technologies

Senior Python Engineer - Remote

Remote Duration: 12+ months • BS in Computer Science or related fields; MS preferred. • 8+ ... AWS SageMaker, Kubeflow, or MLflow. • Hands-on design and development using Python, Flask, Django ...

Futran Tech Solutions Pvt. Ltd.

MLops Engineer

Remote (Dallas , TX) Job Details: Proficient in Python Programming >Understanding of MLOps, Model ... KubeFlow etc.) > Experience in Google Cloud Tech (GCS, BQ, Dataflow, Pub/Sub, GKE, VertexAI/KF ...

Redfish Recruiting

Experience with AI/ML flow, Kubeflow, Vertex AI, SageMaker, or similar platforms. * Background in ... Fully remote, work from home environment * Employee Share Option Plan * Flexible working hours

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Remote Kubeflow information

What is the difference between Remote Kubeflow vs Remote Data Scientist?

AspectRemote KubeflowRemote Data Scientist
Required CredentialsCloud certifications, Kubernetes, ML OpsStatistics, Machine Learning, Programming
Work EnvironmentCloud platforms, DevOps toolsData analysis, modeling, research
Industry UsageAI/ML deployment, MLOps teamsData analysis, predictive modeling

Remote Kubeflow focuses on deploying and managing ML workflows using Kubernetes, requiring cloud and DevOps skills. Remote Data Scientists analyze data, build models, and interpret results. While both roles involve machine learning, Remote Kubeflow emphasizes deployment and infrastructure, whereas Remote Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Remote Kubeflow Engineer, and why are they important?

To thrive as a Remote Kubeflow Engineer, you need strong expertise in machine learning, cloud computing, and container orchestration, typically supported by a degree in computer science or related fields. Proficiency with tools such as Kubeflow, Kubernetes, Docker, and cloud platforms like AWS, GCP, or Azure—as well as experience with CI/CD pipelines—is essential. Strong problem-solving skills, communication, and the ability to collaborate remotely are important soft skills for success. These skills ensure the effective deployment and management of scalable machine learning workflows in distributed, cloud-based environments.

What are some common challenges faced by professionals working in a remote Kubeflow engineer role?

Remote Kubeflow engineers often encounter challenges such as troubleshooting distributed machine learning pipelines without direct, on-premises access to infrastructure. Effective communication with data scientists, DevOps, and other stakeholders can also be more complex due to differing time zones and remote collaboration tools. Additionally, managing secure access and ensuring seamless deployment of ML workflows in cloud environments requires a strong understanding of both Kubernetes and Kubeflow. Overcoming these challenges typically involves proactive documentation, regular virtual meetings, and a collaborative approach to problem-solving.

What is a Remote Kubeflow job?

A Remote Kubeflow job refers to a role where professionals use Kubeflow, an open-source machine learning platform designed for Kubernetes, while working remotely. These jobs typically involve designing, deploying, and managing machine learning workflows on cloud or on-premises Kubernetes clusters. Responsibilities may include automating ML pipelines, optimizing model training, and collaborating with data scientists and engineers. Remote Kubeflow professionals usually need expertise in Kubernetes, Docker, Python, and machine learning concepts. The remote aspect allows them to perform these tasks from anywhere with reliable internet access.
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Senior Python Engineer - Remote

Senior Python Engineer - Remote

Lorven Technologies

Remote

Full-time

Posted 9 days ago

Job description

Senior Python Engineer
Position: Contract
Location: Remote
Duration: 12+ months
Job description:
• BS in Computer Science or related fields; MS preferred.
• 8+ years of experience in key engineering roles (technical lead, software engineer, software architect).
• 5+ years of experience with Amazon Web Services (AWS), architecting and deploying cloud-native solutions.
• Deep understanding of cloud computing, workload transition, AWS Well-Architected Framework, industry standards, and best practices.
• Strong experience with MLOps platforms: AWS SageMaker, Kubeflow, or MLflow.
• Hands-on design and development using Python, Flask, Django, AsyncIO, etc.
• Solid understanding of distributed systems, integration, testing, and troubleshooting.
• Experience with monitoring distributed systems, and strategies for error detection and recovery.
• Experience designing and developing APIs, Real-Time Systems, and Microservices.
• Familiarity with AWS services: EKS, S3, RDS, Lambda, Aurora, ECS-Fargate.
• Eagerness to learn new frameworks and build new processes from scratch.
• Demonstrated familiarity with CI/CD processes and tools (CodeCommit, CodeDeploy, CodePipeline, Jenkins, Harness, etc.).
• Experience integrating with async messaging/logging/queues: Kafka, RabbitMQ, or SQS.
• Strong knowledge of software development processes and project management methodologies.
• Excellent problem-solving, analytical, communication, and documentation skills.
• Ability to lead cross-functional initiatives and work effectively in dynamic environments.
• Collaborative mindset, comfortable working with globally distributed teams.
Nice to Have
• Experience with monitoring/logging tools such as Dynatrace and Splunk.
• Familiarity with ML frameworks: TensorFlow, PyTorch, scikit-learn.
• Experience with orchestration tools: Kubeflow, MLflow, Airflow, etc.
• Background in building automated/scheduled pipelines for analytical processes.
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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