ZipRecruiter

Log In

2

Remote Aws Machine Learning Jobs in Oregon (NOW HIRING)

Quantiphi, Inc.

Technical Architect - Machine Learning

OR · Remote

$66.25 - $80/hr

We have been recognized with: * 3x AWS AI/ML award wins. * 3x NVIDIA Partner of the Year title ... Remote (USA/Canada) Description: As an Architect - Machine Learning Engineer at Quantiphi, you will ...

phData

OR

... g., AWS, Databricks, Cloudera), with familiarity across data and messaging systems such as JMS ... Prior experience working in global or remote teams and partnering across US, LATAM, and/or India.

Workiva, Inc.

Staff Machine Learning Engineer

OR · On-site +1

Experience with Amazon Web Services (AWS) or other cloud service providers * Ability to prioritize ... Reliable internet access for remote working opportunities How You'll Be Rewarded Salary range in ...

phData

OR

Experience with MLOps tooling such as AWS SageMaker, Azure ML, and MLflow, and with building ... We are a remote-first company, and you should be comfortable working with a distributed global team.

HealthEdge

Machine Learning Engineer

Overview Machine Learning Engineer, AI Platform As a Machine Learning Engineer, you will design ... Work across multiple time zones in a hybrid or remote work environment. * Long periods of time ...

OneStudyTeam

Senior Machine Learning Engineer

OR · On-site +1

$140K - $190K/yr

You'll use technologies like Python (and Clojure), AWS services (Athena, Bedrock, SageMaker, etc ... Strong understanding of machine learning fundamentals (model selection, training, evaluation ...

Vectara

Machine Learning (ML) Engineer

OR · On-site +1

... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions ... We support remote applicants from all over the US but candidates who can come to the office 2-3 ...

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and ... Possibility for Remote. Key Responsibilities: * Design, develop, and optimize advanced algorithms ...

New

Workiva, Inc.

Senior Applied Machine Learning Scientist

OR · On-site +1

$91.40K - $124.90K/yr

Workiva is seeking a Senior Applied Machine Learning Scientist to join our innovative team. In this ... Experience with MLOps practices and cloud platforms (AWS, Azure, GCP) * Proficiency in ...

next page

Showing results 1-20

People also search for

All JobsRemote Aws Machine Learning JobsRemote Aws Machine Learning Jobs in Oregon

Remote Aws Machine Learning information

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

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.

What are remote AWS Machine Learning jobs?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

What is the difference between Remote Aws Machine Learning vs Remote Data Scientist?

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Remote Aws Machine Learning jobs in Oregon? For Remote Aws Machine Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Aws Machine Learning jobs in Oregon look for? The top searched job categories for Remote Aws Machine Learning jobs in Oregon are:
What cities in Oregon are hiring for Remote Aws Machine Learning jobs? Cities in Oregon with the most Remote Aws Machine Learning job openings:
Remote Aws Machine Learning jobs near you
Technical Architect - Machine Learning

Technical Architect - Machine Learning

Quantiphi, Inc.

Remote

$66.25 - $80/hr

Full-time

Posted 9 hours ago

Job description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

  • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI-driving measurable outcomes at the very core of their operations.
  • Since our founding in 2013, Quantiphi has tackled some of the world's most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value-not just technology for technology's sake.
  • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.

We have been recognized with:

  • 3x AWS AI/ML award wins.

  • 3x NVIDIA Partner of the Year title.

  • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms.

  • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.

  • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!

For more details, visit:WebsiteorLinkedIn Page.

Role: Architect - Machine Learning
Experience Level: 7+ years
Employment type: Full Time
Location: Remote (USA/Canada)

Description:

As an Architect - Machine Learning Engineer at Quantiphi, you will be responsible for designing and developing advanced machine learning models and algorithms to solve complex business problems. You will work on optimizing and deploying these models on AWS infrastructure, ensuring scalability and reliability.

Must have skills:

  • 7+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS.
  • Hands-on experience on AWS Machine Learning services. Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs.

Natural Language Processing

  • Should have experience with Deep Learning Concepts - Transformers, BERT, Attention models
  • Strong programming skills in Python and experience with NLP libraries such as Hugging Face Transformers, SpaCy, NLTK, or Stanford NLP
  • Strong understanding of NLP concepts: tokenization, embeddings, syntactic and semantic parsing, named entity recognition, and coreference

Agentic AI

  • Design and implement agentic AI architectures using frameworks such as LangChain or Amazon Bedrock Agents, enabling autonomous task planning, decision-making, and multi-step reasoning.
  • Architect and deploy scalable AI solutions on AWS, leveraging services like Lambda, Bedrock, Step Functions, S3, API Gateway, and SageMaker.
  • Develop and maintain Model Context Protocol (MCP) implementations to manage state, context windows, memory, and prompt orchestration across distributed agent systems.
  • Integrate agentic workflows with LLMs (Titan, Nova, Cohere, Claude, etc.) via Bedrock, ensuring high-availability and multi-model support
  • Must have Hands-on experience fine-tuning large language models( LLM) and Generative AI (GAI), specifically LLama2.
  • Familiarity with LLM tool use, prompt templating, vector stores (e.g., Opensearch, Pinecone, Elasticsearch, Bedrock KB), and context management.
  • Model Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration.
  • Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.
  • Experience implementing secure, scalable APIs and integrating with 3rd-party data sources and tools
  • Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.

Good to have skills:

  • Experience of working for customers/workloads in the Edtech domain with use cases.
  • Experience with software development

What is in it for you:

  • Make an impact at one of the world's fastest-growing AI-first digital engineering companies.

  • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.

  • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.

  • Stay ahead of the curve-immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Apply