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Remote Data Scientist Risk Jobs in Portland, OR (NOW HIRING)

Deloitte

Cyber Data Protection Manager

Portland, OR · Remote

$117K - $159K/yr

If so, consider joining Deloitte & Touche LLP's growing Cyber Risk Digital Trust & Privacy practice ... Bachelor's degree in Cybersecurity, Information Security, Engineering, Computer Science ...

micro1 AI

Domain Expert - (STEM PhD)

Portland, OR · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

Deloitte

GCP Manager

Portland, OR · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Argenx

Medical Science Liaison (Northwest)

Portland, OR · Remote

... data,productsand trials, andis responsible forengagement with Key Opinion Leaders at academic and ... Ability for 50% travel #LI-Remote For applicants in the United States: The annual base salary ...

Troutman Pepper

Senior Data Engineer

Portland, OR · Remote

$112K - $152K/yr

Bachelors' degree in Computer Science, Management Information Systems, or related field. * Minimum ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

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All JobsRemote Data Scientist Risk JobsRemote Data Scientist Risk Jobs in Portland, OR

Remote Data Scientist Risk information

See Portland, OR salary details

$39.8K

$130.2K

$208.4K

How much do remote data scientist risk jobs pay per year?

As of Jul 4, 2026, the average yearly pay for remote data scientist risk in Portland, OR is $130,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $144,200.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Data Scientist Risk jobs in Portland, OR? The most popular types of Data Scientist Risk jobs in Portland, OR are:
What are popular job titles related to Remote Data Scientist Risk jobs in Portland, OR? For Remote Data Scientist Risk jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist Risk jobs in Portland, OR look for? The top searched job categories for Remote Data Scientist Risk jobs in Portland, OR are:
What cities near Portland, OR are hiring for Remote Data Scientist Risk jobs? Cities near Portland, OR with the most Remote Data Scientist Risk job openings:
Remote Data Scientist Risk jobs near you
Infographic showing various Remote Data Scientist Risk job openings in Portland, OR as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,165 per year, or $62.6 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Vancouver, WA • Remote

Full-time

Posted 13 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply