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Senior Python Ai Jobs in Oregon (NOW HIRING)

... AI. Cloudera is looking for a Senior Engineering Manager with a strong technical background to help ... Experience with data science and machine learning tools (R, Python, Tensorflow, Spark, mlflow etc.

We are seeking an ambitious Senior Solutions Architect - AI Factory Deployment to join our NVIDIA ... Develop automation (Python, Shell) for running benchmarks, collecting results, and performing ...

OR · On-site

$122.40K - $161.30K/yr

AI/ML: Snowflake Cortex, OpenAI, Azure Cognitive ... Backend/Infra: .NET/C#, Python, Azure Ecosystem, GitHub Actions Key Responsibilities * Define and ...

OR

$122.40K - $161.30K/yr

... senior software engineer to automate and optimize performance analysis workflows for AI training ... Strong software development skills (Python, C++ preferred). * Ability to translate user ...

$122.40K - $161.30K/yr

The Senior Software Engineer I (AI Orchestrator) is a senior individual contributor responsible for ... Proficiency in one or more programming languages such as Java, .NET, Python, or similar.

OR · On-site

Design and build services in Python that power AI-driven products and shared capabilities ... Work with product managers, researchers, and senior engineers to turn loosely defined AI use cases ...

Senior Data Engineer - AI Platforms

OR · On-site +1

$105.90K - $143.90K/yr

Role: Senior Data Engineer - AI Platforms Experience Level: 7+ yrs Work Location: US East/Canada ... Python * SQL * PySpark * Experience working with at least one of the following data platforms:

Throughout the internship, you will collaborate with research teams and senior engineers to ... Design and build services in Python that power AI-driven products and shared capabilities.

OR

$129.40K - $175.80K/yr

We are looking for an outstanding Senior Agentic AI Engineer to build groundbreaking mutli-modal ... Proficiency in Python and at least one systems language such as Go, Rust, or C++ * Experience ...

Senior AI Engineer - SFL Scientific

Portland, OR · On-site

$110.80K - $152.20K/yr

Deloitte's Strategy & Transactions team is seeking a Senior AI Engineer to join SFL Scientific, a ... Linux Shell/CLI, Python, SQL, PowerShell, etc. • 2+ years of experience managing teams in ...

New

OR

$104.40K - $143.40K/yr

We are seeking a Senior AI/ML Performance and Efficiency Engineer, GPU Clusters at NVIDIA to join ... Proficiency in programming & scripting languages such as Python, Go, Bash, as well as familiarity ...

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Showing results 1-20

Senior Python Ai information

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

To thrive as a Senior Python AI Engineer, you need deep expertise in Python programming, machine learning algorithms, and a strong foundation in mathematics and data science, often supported by a relevant degree. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP), and experience deploying AI models in production are typically required. Exceptional problem-solving, communication, and project leadership skills set outstanding candidates apart. These capabilities enable the development of robust, scalable AI solutions that drive business value and innovation.

What are some common challenges faced by Senior Python AI engineers when integrating AI models into production systems?

Senior Python AI engineers often encounter challenges such as ensuring the scalability and reliability of AI models in production environments. This includes managing dependencies, handling real-time data processing, and monitoring model performance to prevent issues like data drift. Collaboration with DevOps and data engineering teams is essential to streamline deployment pipelines and maintain system robustness. Additionally, keeping up with evolving AI frameworks and best practices is crucial for long-term project success.

What does a Senior Python AI Engineer do?

A Senior Python AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions using the Python programming language. They work on building machine learning models, data pipelines, and integrating AI systems into applications. These professionals also lead teams, mentor junior engineers, and ensure the scalability and efficiency of AI projects. Their expertise is crucial for translating business needs into technical solutions that leverage the latest advancements in AI.

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

AspectSenior Python AiData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with Python, AI frameworksBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, SQL
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, consulting firms
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

While both roles require strong Python skills and familiarity with data analysis, Senior Python Ai focuses more on developing AI models and algorithms, whereas Data Scientists analyze data to generate insights. The Senior Python Ai role emphasizes AI frameworks and machine learning deployment, while Data Scientists often work with statistical analysis and data visualization.

What are the most commonly searched types of Python Ai jobs in Oregon? The most popular types of Python Ai jobs in Oregon are:
What job categories do people searching Senior Python Ai jobs in Oregon look for? The top searched job categories for Senior Python Ai jobs in Oregon are:
What cities in Oregon are hiring for Senior Python Ai jobs? Cities in Oregon with the most Senior Python Ai job openings:
Senior Engineering Manager, Enterprise AI

Senior Engineering Manager, Enterprise AI

Cloudera

Remote

Full-time

PTO

Posted 16 days ago


Job description

Business Area:

Engineering

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

At Cloudera, our Data Services Pillar is the heart of data innovation. We don't just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI.

Cloudera is looking for a Senior Engineering Manager with a strong technical background to help manage the team(s) located in Santa Clara, California or in North America to help drive the development of Cloudera's next-generation AI and machine learning platform. You will be responsible for managing a team that will design, build, and deliver a platform that not only accelerates machine learning & AI from exploration to production but also enables enterprises to create & deploy Generative AI applications using foundation models with enterprise data at scale.

We look for "The Startup Spark", a desire to create new things, dive in wherever there's a need, eagerness to make an impact as an individual and the willingness to learn new things. You must be self-motivated, innovative, and proactive. The role offers significant opportunities for growth.

Read about the Forrester Wave Report on Cloudera's Machine Learning offerings here.

As a Senior Engineering Manager you will:

  • As a Senior Engineering Manager you would be responsible for working with Product Managers to define what capabilities should be built in the product

  • You will have to work with Product Managers to understand customer use cases and help them use our products effectively

  • You will be responsible for the growth of your reports

  • You should be able to fill in, to address gaps in process / practices followed by the team / organization

  • As a leader you should be able to lead by example

We are excited if you have (Required Experience):

  • 10+ years of experience in building enterprise software and 4+ years of management experience

  • Bsc/Msc in related field or equivalent experience

  • Experience building enterprise AI infrastructure and deploying production generative AI applications & agents leveraging open source foundation models, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), and/or Generative AI frameworks (LangChain, Guidance, etc.)

  • Strong written and oral communication skills

  • Good understanding of Engineering best practices

  • Experience with containerization frameworks like Kubernetes, Docker

  • Strong Understanding of Distributed Systems and building systems at scale

  • Should be able to drive the architecture/design and provide technical direction & guidance to the team

  • Self-driven and motivated, with a strong sense of ownership and craftsmanship

You may also have:

  • Experience with data science and machine learning tools (R, Python, Tensorflow, Spark, mlflow etc.)

  • Experience with AI/ML orchestration software (Kubeflow, KServe, Knative)

  • Experience with cloud technologies (AWS, GCE, Azure)

  • Experience using Big Data technologies like Spark, Hive etc

Why this role matters:

This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You'll work with cutting-edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value in their data.

We believe in the power of open source. You'll collaborate with project committers, contributing upstream to keep technologies like Apache Hive and Impala evolving. You'll harden these engines for rock-solid security, optimize them for peak performance, and make them effortlessly run across all environments. Join us and help build the trusted, cloud-native platform that powers insights for the most data-intensive companies on the planet.

This role is not eligible for immigration sponsorship

What you can expect from us:

  • Generous PTO Policy

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy

  • Mental & Physical Wellness programs

  • Phone and Internet Reimbursement program

  • Access to Continued Career Development

  • Comprehensive Benefits and Competitive Packages

  • Paid Volunteer Time

  • Employee Resource Groups

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