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Remote Python Ai Jobs in Colorado (NOW HIRING)

Gravitee

Senior Solutions Engineer

Denver, CO · On-site +1

$250K/yr

The Role AI is rewriting the rules of business, and Gravitee is at the center of that ... Some scripting experience, ideally with Java or JavaScript/Python * Ability to design deployment ...

Maxar

Software Development Engineer

Westminster, CO · On-site +1

$82K - $109K/yr

... image processing, remote sensing, geospatial systems, and AI-driven applications. This is an ... in Python and/or C++. * Experience building service-oriented architectures and API-driven ...

Micron

Staff SSD Systems Design Engineer

Longmont, CO · On-site +1

$98K - $135K/yr

Remote and hybrid work arrangements are not supported for this position As a world leader in the ... AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application ...

Invoca

Sr. Sales Engineer

Denver, CO · On-site +1

Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and ... You can design a multi-tier system from the database schema up to the UI. Proficiency in Python or ...

Cleerly

Software Engineer III

Denver, CO · On-site +1

$59.25 - $79.50/hr

While we are mostly a remote company, travel is required for some team meetings and cross function ... in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or ...

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Remote Python Ai information

What are the key skills and qualifications needed to thrive as a Remote Python AI Developer, and why are they important?

To thrive as a Remote Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and relevant certifications such as TensorFlow Developer are highly valued. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills help set professionals apart in this distributed role. These capabilities are critical for developing robust AI solutions, collaborating across virtual teams, and delivering impactful results in a rapidly evolving field.

What are Remote Python AI jobs?

Remote Python AI jobs are positions that involve developing, implementing, or maintaining artificial intelligence solutions using the Python programming language, all while working from a remote location. These roles can include tasks such as building machine learning models, automating data analysis, and deploying AI-powered applications. Professionals in these jobs collaborate with teams online, use cloud-based tools, and contribute to a variety of industries such as tech, finance, healthcare, and more. Python is a popular choice for AI due to its simplicity and the availability of powerful libraries like TensorFlow, PyTorch, and scikit-learn.

What is the difference between Remote Python Ai vs Data Scientist?

AspectRemote Python AiData Scientist
Required CredentialsPython programming, AI/ML knowledge, possibly certifications in AI or data analysisStatistics, programming, data analysis, often a master's degree or higher
Work EnvironmentRemote, tech companies, AI-focused teamsRemote or on-site, diverse industries including tech, finance, healthcare
Employer & Industry UsageTech startups, AI firms, software companiesVarious sectors like finance, healthcare, marketing, tech
Search & Comparison IntentFocus on AI development using PythonData analysis, insights, statistical modeling

Remote Python Ai roles primarily focus on developing AI models and applications using Python, often within tech or AI companies. Data Scientists analyze data to extract insights, requiring broader statistical skills. While both roles may involve Python, Remote Python Ai emphasizes AI/ML development, whereas Data Scientists focus on data analysis and interpretation.

How is collaboration typically structured in a remote Python AI role, and what tools are commonly used to facilitate teamwork?

In a remote Python AI role, collaboration is often structured through regular virtual meetings, code reviews, and the use of collaborative platforms. Teams typically use version control systems like GitHub or GitLab for code sharing, and platforms such as Slack or Microsoft Teams for daily communication. Project management tools like Jira or Trello help organize tasks and track progress, while video calls via Zoom or Google Meet are used for team discussions and brainstorming sessions. This structure ensures that even in a distributed setting, team members can efficiently work together, share insights, and resolve challenges.
What are the most commonly searched types of Python Ai jobs in Colorado? The most popular types of Python Ai jobs in Colorado are:
What are popular job titles related to Remote Python Ai jobs in Colorado? For Remote Python Ai jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Python Ai jobs in Colorado look for? The top searched job categories for Remote Python Ai jobs in Colorado are:
What cities in Colorado are hiring for Remote Python Ai jobs? Cities in Colorado with the most Remote Python Ai job openings:
Remote Python Ai jobs near you
Cloud Security Engineer (Remote Eligible)

Cloud Security Engineer (Remote Eligible)

Ardent Mills

Denver, CO • On-site, Remote

$57.50 - $76.75/hr

Full-time

Posted 4 days ago

Ardent Mills rating

7.5

Company rating: 7.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

144th of 397 rated food and drinks producers

Job description

Join Us Today
The Cloud Security Engineer engineers and operates security controls across Azure environments and other leading cloud platforms as needed. This role builds guardrails, monitors posture, and responds to cloud threats while enabling teams to move quickly and safely. Additionally, this role focuses on cloud security architecture, best practices, resource standards, configuration management, and detection.
Cloud Security EngineerPosition Summary:
As a Cloud Security Engineer, you will design, implement, and operate security controls primarily across Microsoft Azure environments, with potential expansion to other leading cloud platforms over time. You will build guardrails, monitor posture, and respond to cloud threats while enabling teams to move quickly and safely. Focus on cloud security architecture, best practices, resource standards, configuration management and detection.
Your responsibilities:
  • Lead design and implementation for cloud landing zones, identity, and network controls (VPC/VNet, security groups/NSGs, private endpoints).
  • Configure cloud-native security services (e.g., Microsoft Defender for Cloud, Microsoft Sentinel, Defender XDR).
  • Build posture management (CSPM) and workload protection (CWPP) with policy-as-code and automated remediation.
  • Implement key management, encryption at rest/in transit, and certificate governance using KMS/Key Vault/Cloud KMS.
  • Establish logging, telemetry, and alerting (Azure Monitor) integrated to SIEM/XDR. Work with key team members across IT and Security to test and validate total coverage / maturity of detection telemetry from cloud native sources.
  • Determine architecture as needed to harden serverless containers, and managed services (Functions, Logic Apps, Container Apps, AKS, ACI) with baseline controls.
  • Perform threat modeling and security reviews for cloud architectures and application designs.
  • Partner with platform and product teams to deliver IaC guardrails, image baselines, and patch/vulnerability workflows.
  • Respond to cloud incidents as a point of escalation; perform triage, containment, and post-incident improvements. Develop automation architecture where applicable to optimize cloud detection and response capabilities. Leverage automation and AI-assisted capabilities where appropriate to enhance cloud detection and response.
  • Document standards and runbooks; conduct enablement sessions with dev and ops teams.
  • Design partner in cloud security strategy and program maturity.
Essential skills and experience:
  • Bachelor's in computer science/engineering or equivalent experience.
  • 4-7 years in cloud security engineering across at least one major CSP.
  • Strong knowledge of IAM, networking, encryption, and cloud-native security tooling.
  • Experience securing hybrid environments spanning on-premises and Azure cloud.
  • Scripting/automation expertise (Python/Bash/PowerShell; Terraform/Bicep/ARM).
  • Certifications: CCSP; AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ-500), or Google Professional Cloud Security Engineer.
Good to have:
  • Experience with CIEM solutions and multi-cloud governance.
  • Certifications: GIAC Cloud (GCSA/GPCS), CNCF CKA/CKS, vendor pro-level architect certs.
Physical requirements and working conditions (with or without reasonable accommodation):
  • Remote eligible; occasional after-hours support for incidents. On-call rotation for major incidents.
Other considerations:
  • May support cloud migration programs and control design reviews.
At Ardent Mills:
At Ardent Mills, everyone matters and everyone has a voice. We are committed to providing an environment of mutual respect where equal opportunities are available to all applicants and team members and the decisions will be based on merit, competence, performance, and business needs. We are proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, religion, creed, national origin, aboriginality, ancestry, marital status, sex, sexual orientation, gender identity or expression, physical or mental disability, pregnancy, genetic information, veteran status, age, political affiliation, or any other non-merit characteristic protected by law or not. Together, celebrating our differences, we make Ardent Mills.
The preceding position description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this position. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees in this position. The description, duties, functions, and responsibilities are subject to change at the discretion of Ardent Mills.

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