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Python Ai Developer Jobs in Remote, OR (NOW HIRING)

... engineering processes, and audit compliance. * The contractor shall implement sprint-based Agile ... Personnel must have demonstrated experience in building and validating AI/ML models using Python ...

... engineering processes, and audit compliance. * The contractor shall implement sprint-based Agile ... Personnel must have demonstrated experience in building and validating AI/ML models using Python ...

... engineering processes, and audit compliance. * The contractor shall implement sprint-based Agile ... Personnel must have demonstrated experience in building and validating AI/ML models using Python ...

Senior Lead Finance Analyst

OR · On-site +1

$105.79K - $141.05K/yr

AI/ML Tools: TensorFlow, PyTorch, Scikit-learn for predictive analytics. * Data Visualization: Power BI, Tableau, or similar platforms. * Programming: Advanced skills in Python and SQL for automation ...

New

... engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools ...

... engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools ...

Data Scientist

OR · On-site +1

... engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools ...

Senior Lead IT Engineer

OR · On-site +1

$132.23K - $176.31K/yr

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... Proficiency with scripting and automation (e.g., PowerShell, Bash, Python). * Excellent ...

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Python Ai Developer information

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How much do python ai developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for python ai developer in Remote, OR is $58.56, according to ZipRecruiter salary data. Most workers in this role earn between $48.27 and $66.54 per hour, depending on experience, location, and employer.

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

To thrive as a Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and a background in mathematics or computer science. Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for this role. These competencies enable developers to design, implement, and optimize AI solutions that address complex real-world challenges efficiently.

How does a Python AI Developer typically collaborate with data scientists and other team members during an AI project?

Python AI Developers often work closely with data scientists, machine learning engineers, and product managers throughout the lifecycle of an AI project. They are responsible for implementing algorithms and models designed by data scientists, optimizing code for efficiency, and integrating AI solutions into production environments. Regular communication and code reviews ensure alignment on objectives and technical standards, while agile practices like daily stand-ups facilitate cross-functional collaboration. Being open to feedback and adaptable to changing project requirements is key to success in this role.

What does a Python AI Developer do?

A Python AI Developer designs, builds, and implements artificial intelligence applications using the Python programming language. Their work often involves developing machine learning models, processing large datasets, and integrating AI solutions into software products. They collaborate with data scientists, engineers, and stakeholders to solve complex problems and optimize AI algorithms for real-world use. Python AI Developers stay updated on the latest AI techniques and ensure their solutions are efficient, scalable, and maintainable.

How much do Python AI developers make?

Python AI developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can command higher salaries, especially in tech hubs or companies with advanced AI projects.
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What job categories do people searching Python Ai Developer jobs in Remote, OR look for? The top searched job categories for Python Ai Developer jobs in Remote, OR are:
What cities near Remote, OR are hiring for Python Ai Developer jobs? Cities near Remote, OR with the most Python Ai Developer job openings:
Infographic showing various Python Ai Developer job openings in Remote, OR as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $121,812 per year, or $58.6 per hour.

Senior Data Engineer - Lakehouse (Remote)

ASRC Federal Holding

On-site, Remote

$99.40K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


ASRC Federal rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

193rd of 351 rated engineering


Job description

ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are a top veteran employer and Certified Great Place to Work™
ASRC Federal Technology Solutions is seeking a Business Intelligence Data Engineer - Lakehouse / ML / AI to support enterprise data modernization efforts for the Defense Contract Audit Agency (DCAA). This role is responsible for designing, building, and maintaining scalable data pipelines and architectures that enable advanced analytics, reporting, and machine learning capabilities. The ideal candidate will have experience working with Lakehouse architectures, cloud-based data platforms, and integrating AI/ML solutions into business intelligence environments.
Key Responsibilities:
  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting structured and unstructured data
  • Implement and manage lakehouse architecture solutions (e.g., Delta Lake, Databricks, or similar platforms)
  • Integrate data from multiple sources including enterprise systems, cloud platforms, and external data feeds
  • Develop and optimize data models to support business intelligence, analytics, and reporting requirements
  • Collaborate with data scientists and analysts to enable machine learning and AI-driven insights
  • Support the deployment and operationalization of ML models within production data environments
  • Ensure data quality, integrity, governance, and compliance with DoD and federal data standards
  • Develop dashboards and reporting solutions using BI tools (e.g., Power BI, Tableau)
  • Optimize performance and scalability of data platforms in cloud environments (AWS, Azure, or similar)
  • Document data architecture, workflows, and technical solutions

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field. Equivalent combination of education and experience will be considered.
  • 5+ years of experience in data engineering, business intelligence, or related field
  • Active Secret Clearance Required
  • Experience with data lake or Lakehouse architectures
  • Strong proficiency in SQL and at least one programming language (Python, Scala, or Java)
  • Experience with cloud platforms (AWS, Azure, or Google Cloud)
  • Familiarity with ETL/ELT tools and big data technologies (e.g., Spark, Hadoop)
  • Experience supporting BI tools such as Power BI, Tableau, or similar
  • Understanding of data governance, security, and compliance requirements

Preferred Qualifications:
  • Experience with Databricks, Snowflake, or Delta Lake
  • Experience integrating or supporting machine learning models in production environments
  • Knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch, or scikit-learn)
  • Familiarity with DevSecOps and CI/CD pipelines for data solutions
  • Experience supporting federal or DoD environments
  • Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate)

Why ASRC?
As a wholly owned subsidiary of Arctic Slope Regional Corporation, an Alaska Native Corporation, we are inspired by the Iñupiat culture. We embrace stewardship and the idea of using every resource effectively; teamwork when striving to achieve goals and building a collaborative environment; integrity in adhering to high moral principles and professional standards; respect in welcoming and regarding the differing opinions, experiences, rights and traditions of others; accountability in that we meet our commitments and take responsibility for our results; and continuous improvement, always striving to make things better, raising the bar and staying humble.
Advantages of Working at ASRC Federal:
  • Purpose-Driven Careers: Join a company recognized as a:
    • Certified Great Place to Work
    • Military Times' Best for Vets Employer
    • Military.com's Top 25 Veteran Employer

  • Comprehensive Benefits:
  • Insurance Coverage: Comprehensive plans for medical, dental, vision, life insurance, and short-term/long-term disability
  • Paid Leave: Inclusive policies for bereavement, military obligations, and parental needs, along with 11 paid holidays annually
  • Retirement Savings: A 401(k) plan with a generous company match and immediate vesting to help secure your financial future
  • Incentives: Employee referral bonuses to reward you for helping grow the ASRC Federal Family

  • Learning and Development:
    • After 90 days of employment, regular full-time employees are eligible for our professional development program. This includes annual funding for:
    • Pursuing Associate's, Bachelor's, or Graduate Degrees
    • Obtaining industry-standard professional certifications
    • Participating in professional certificate programs
    • Covering registration fees for professional conferences

  • Centers of Excellence: We established the Centers of Excellence to build, leverage and grow our technological capabilities, best practices and offer professional development for our technical teams. They contain many Communities of Practice which are forums that offer a platform to share ideas, best practices, innovations, and to collaborate with technical peers.

Embark on a career with ASRC Federal, where your growth, purpose, and well-being are at the forefront of what we do!
Data Management: Applications will be reviewed in intervals. The first 15 candidates will be considered, followed by subsequent groups of 15.
We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary.
EEO Statement
ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.

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