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Junior Ai Machine Learning Python Jobs in Remote, OR

Senior Back End Developer

OR · Remote

$113K - $146.70K/yr

... in Python and PostgreSQL. * 5 years of experience with bug tracking software (e.g., Jira). * 5 ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Senior Back End Developer

OR · Remote

$113K - $146.70K/yr

... in Python and PostgreSQL. * 5 years of experience with bug tracking software (e.g., Jira). * 5 ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Senior Back End Developer

OR · Remote

$113K - $146.70K/yr

... in Python and PostgreSQL. * 5 years of experience with bug tracking software (e.g., Jira). * 5 ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Senior Back End Developer

OR · Remote

$113K - $146.70K/yr

... in Python and PostgreSQL. * 5 years of experience with bug tracking software (e.g., Jira). * 5 ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Senior Back End Developer

OR · Remote

$113K - $146.70K/yr

... in Python and PostgreSQL. * 5 years of experience with bug tracking software (e.g., Jira). * 5 ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Python * Luna * Java * Docker * OpenJDK * Ansible * Packer * Maven * Kubernetes * Red Hat ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Python * Luna * Java * Docker * OpenJDK * Ansible * Packer * Maven * Kubernetes * Red Hat ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

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Showing results 1-20

Junior Ai Machine Learning Python information

See Remote, OR salary details

$46.5K

$94.4K

$141.9K

How much do junior ai machine learning python jobs pay per year?

As of May 30, 2026, the average yearly pay for junior ai machine learning python in Remote, OR is $94,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,900.00 and $95,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior AI Machine Learning Python Engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What are some typical projects or tasks a Junior AI/Machine Learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What does a Junior AI Machine Learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Junior Ai Machine Learning Python jobs in Remote, OR? For Junior Ai Machine Learning Python jobs in Remote, OR, the most frequently searched job titles are:
What cities near Remote, OR are hiring for Junior Ai Machine Learning Python jobs? Cities near Remote, OR with the most Junior Ai Machine Learning Python job openings:
Principal Customer Engineer (Openstack, Kubernetes)

Principal Customer Engineer (Openstack, Kubernetes)

Mirantis

Full-time

Posted yesterday


Job description

Company Description

About Mirantis

Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment-on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.

Job Description

The Principal Customer Engineer is a senior, customer-facing technical role within Customer Success, dedicated to a small portfolio of Mirantis's most strategic accounts. The focus of the role is to become the trusted technical partner inside each customer - understanding their platform, their roadmap, and their operational reality in depth, and using that understanding to drive deeper product integration, sharper technical alignment, and measurably better outcomes on Mirantis software. You will work alongside a Technical Account Manager and the wider account team, complementing their commercial and delivery remit with hands-on technical depth.

Main Responsibilities

  • Own the technical relationship with a small number of strategic customers (typically 5-8), acting as their primary technical point of contact across MOSK, MKE, k0rdent, and the broader Mirantis portfolio.

  • Build a deep working knowledge of each customer's architecture, use cases, internal platform strategy, and adjacent toolchain; maintain a living technical account plan for each.

  • Drive deeper product integration by identifying opportunities to expand Mirantis usage into new workloads, clusters, environments, and teams - and by working with the customer to remove the technical blockers that stand in the way.

  • Lead technical alignment between the customer's engineering and platform teams and Mirantis Product and Engineering; translate customer requirements into credible product input and translate roadmap into customer-relevant guidance.

  • Run regular technical cadences - architecture reviews, upgrade planning sessions, roadmap briefings, and health checks - both remotely and on-site at customer locations.

  • Partner closely with Support on high-impact cases for your accounts, alerting duties and hush severity issues, providing account context, accelerating resolution, and closing the loop on recurring issues through product and operational improvements.

  • Advocate internally for the customer across Product, Engineering, Support, and Customer Success; ensure their voice is represented in roadmap, release, and prioritisation discussions.

  • Collaborate with the account team - Technical Account Manager, Account Executive, and Solutions Engineer - without duplicating their remit; the boundary is clear: they own commercial, delivery, and pre-sales; you own sustained technical depth post-sale.

  • Contribute back to internal enablement, reference architectures, and best-practice guidance so patterns learned in one account benefit the wider customer base.

Qualifications

Minimum Qualifications

  • 7+ years in a customer-facing technical role (Customer Engineer, Senior Consultant, Principal Support Engineer, SRE embedded with customers, or equivalent).

  • Demonstrable track record of owning the technical relationship with large enterprise customers and driving expanded adoption of a platform product.

  • Expert-level Kubernetes operating knowledge - cluster lifecycle, networking, storage, security, multi-cluster patterns, and production troubleshooting.

  • Strong Linux systems and networking fundamentals.

  • Strong experience with OpenStack core services including Nova, Neutron, Cinder, Keystone, and Glance.

  • Hands-on knowledge of Neutron networking, including OVS and OVN, VLAN and VXLAN, and SDN concepts

  • Experience with Cinder storage backends, including Ceph RBD and LVM.

  • Excellent written and spoken English; able to communicate credibly with both senior technical stakeholders and hands-on engineers.

  • Willingness to travel to customer sites as required (expected 20-30%).

Preferred Qualifications

  • Hands-on experience with MKE, k0rdent, OpenStack, or comparable enterprise container and private-cloud platforms.

  • Familiarity with the cloud-native ecosystem: Helm, GitOps (Argo CD, Flux), observability stacks (Prometheus, Grafana, Loki), and service mesh.

  • Experience with infrastructure-as-code and configuration management (Terraform, Ansible, Cluster API).

  • Exposure to enterprise security and compliance contexts (FedRAMP, PCI, regulated industries).

  • Prior experience operating alongside channel and GSI partners on joint accounts.

What Success Looks Like

  • Measurable expansion of Mirantis footprint inside each named account - more clusters, more workloads, more teams.

  • Customers describe Mirantis as technically aligned with their roadmap, and cite you by name as the reason.

  • A steady flow of high-quality product input from the field into Mirantis Product and Engineering.

  • Reduced escalation volume and faster time-to-resolution on accounts in the portfolio.

Additional Information

What does Mirantis offer you?

  • Work with an established Silicon Valley leader in the cloud infrastructure industry.
  • Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies.
  • Be a part of cutting-edge, open-source innovation.
  • Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued.
  • Professional development and training.
  • Attend conferences and working groups.
  • Customized workstation (macOS, Windows).
  • A competitive compensation package with strong benefits plan and stock options.

It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to [email protected]

By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities.

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