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Python Ai Ml Jobs in Seattle, WA (NOW HIRING)

COGENT Infotech

Python AI/ML Developer

Seattle, WA · On-site

$57.25 - $78.75/hr

The role involves building secure, scalable Python applications and integrating AI/ML models into enterprise applications. Responsibilities : • Develop, enhance, and maintain Python-based ...

Belva.ai

AI/ML Engineer

Bellevue, WA · On-site

We are seeking a AI / ML Engineer to join our backend python team at Belva. As an AI / ML Engineer, you will work closely with our ML and Data Engineers to turn Machine Learning models and data ...

lululemon

Applied AI/ML Scientist

Seattle, WA · On-site

By applying AI to critical business challenges and creating new, transformative AI solutions, the ... such as Python, pyTorch, cloud ML platforms and libraries, open-source toolkits. Must haves ...

Lululemon

Senior AI/ML Engineer

Seattle, WA · On-site

$118K - $163K/yr

By applying AI to critical business challenges and creating new, transformative AI solutions, the ... Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow ...

lululemon

Senior AI/ML Engineer

Seattle, WA

$118K - $163K/yr

By applying AI to critical business challenges and creating new, transformative AI solutions, the ... Python, Spark, Airflow, MLFlow, feature stores, cloud ML platforms Must haves Acknowledge the ...

Lululemon athletica

Senior AI/ML Engineer

Seattle, WA · On-site

$118K - $163K/yr

Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow ... The use of AI tools, including but not limited to ChatGPT, Microsoft Copilot, Gemini, DeepSeek, or ...

PitchBook

Manager, Engineering, AI & ML

Seattle, WA · On-site

PitchBook, a Morningstar company, is seeking an Engineering Manager for AI & ML to lead their ... Python and SQL • Must be authorized to work in the United States without the need for visa ...

Lululemon

Staff AI/ML Applied Scientist

Seattle, WA · On-site

By applying AI to critical business challenges and creating new, transformative AI solutions, the ... Experience with ML implementation using commonly used tools such as Python, pyTorch, cloud ML ...

lululemon

Staff AI/ML Applied Scientist

Seattle, WA

By applying AI to critical business challenges and creating new, transformative AI solutions, the ... Experience with ML implementation using commonly used tools such as Python, pyTorch, cloud ML ...

Opendoor

Applied Scientist AI/ML

Seattle, WA · On-site

... AI. This role will significantly impact valuation systems and involve working on various ML ... Required : • Strong software engineering and coding skills in Python, with experience ...

OfferUp

AI/ML Engineer

Bellevue, WA · On-site

$140K - $160K/yr

You'll thrive in this role if you have:. * 2-4 years building and deploying AI/ML systems in ... Proficiency with async Python (asyncio, streaming) and Pydantic. * Strong SQL skills for large ...

Remitly

Senior Engineering Manager, AI/ML

Seattle, WA · On-site

$200K - $250K/yr

The Core AI/ML team partners across Remitly's domains, including Global Money Movement, Treasury ... Strong proficiency in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or ...

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How much do python ai ml jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for python ai ml in Seattle, WA is $66.71, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $75.77 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, machine learning, or data science, often involving advanced skills in programming, deep learning, and data analysis. Such roles are usually found in senior or executive levels, require extensive experience, and may include responsibilities like leading AI projects or developing innovative solutions.

Is Python good for AI ML?

Python is widely regarded as an excellent programming language for AI and machine learning roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is commonly used by AI/ML professionals for developing models, data analysis, and automation tasks, making it a valuable skill for such jobs.

Which 3 jobs will survive AI?

For a Python AI ML professional, roles such as data scientist, machine learning engineer, and AI researcher are likely to persist due to their reliance on complex problem-solving, domain expertise, and ongoing innovation. These jobs require advanced analytical skills, programming proficiency, and understanding of AI frameworks, making them less susceptible to automation. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience in this field.

What are Python AI/ML engineers?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

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

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

What is the salary of Python AI ML?

The salary for Python AI ML roles varies depending on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Entry-level positions may start lower, while experienced professionals with skills in machine learning, deep learning, and data analysis can earn higher salaries, especially in tech hubs or companies requiring advanced expertise.

How does a Python AI/ML professional typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.
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Python Ai Ml jobs near you
Python AI/ML Developer

Python AI/ML Developer

COGENT Infotech

Seattle, WA • On-site

$57.25 - $78.75/hr

Full-time

Posted 14 days ago

Job description

Job Summary:
COGENT Infotech is a technology-driven organization supporting clients across multiple industries. They are seeking an experienced Python Developer with AI exposure to develop backend applications and AI-enabled solutions. The role involves building secure, scalable Python applications and integrating AI/ML models into enterprise applications.
Responsibilities:
• Develop, enhance, and maintain Python-based applications, APIs, automation scripts, and data processing solutions.
• Build and integrate RESTful APIs using Python frameworks such as FastAPI, Flask, or Django.
• Work on AI/ML-enabled solutions including model integration, data pipelines, intelligent automation, and analytics use cases.
• Support integration of machine learning models or GenAI services into enterprise applications.
• Develop reusable Python utilities for data extraction, transformation, validation, reporting, and workflow automation.
• Work with structured and unstructured data from applications, documents, reports, emails, transcripts, and business workflows.
• Collaborate with data scientists, AI engineers, product owners, business analysts, QA teams, and DevOps teams.
• Write clean, modular, testable, and secure Python code.
• Perform debugging, troubleshooting, performance tuning, and production support.
• Ensure applications follow enterprise standards for security, scalability, reliability, and maintainability.
Qualifications:
Required:
• 5+ years of hands-on experience in Python development.
• Strong experience with Python, FastAPI, Flask, Django, REST APIs, and backend development.
• Good understanding of AI/ML concepts, model lifecycle, data preprocessing, and model integration.
• Hands-on experience with Python libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, LangChain, or similar AI/ML libraries.
• Experience working with databases such as PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, or similar.
• Knowledge of data processing, ETL workflows, and API-based system integrations.
• Experience with Git, CI/CD pipelines, Jenkins, or similar development tools.
• Strong understanding of object-oriented programming, design patterns, clean coding, and unit testing.
• Knowledge of application security, authentication, authorization, and secure coding practices.
• Experience working in Agile/Scrum development environments.
• Ability to work with unstructured data such as PDFs, documents, emails, transcripts, reports, or operational records.
• Ability to work across business domains and translate use cases into scalable Python and AI-enabled solutions.
• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related field. Equivalent professional experience will also be considered.
Preferred:
• Experience integrating AI/ML models into production applications.
• Exposure to GenAI, LLMs, prompt engineering, embeddings, vector databases, or RAG-based applications.
• Understanding of AI use cases such as document intelligence, customer analytics, recommendation engines, forecasting, process automation, and operational insights.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of Docker, Kubernetes, or containerized application deployment.
• Exposure to Kafka, RabbitMQ, or other messaging systems.
• Experience with vector databases such as Pinecone, FAISS, Chroma, Weaviate, or similar.
• Familiarity with MLOps, model deployment, monitoring, and versioning tools.
• Experience building enterprise-grade AI or automation solutions in production environments.
Company:
Cogent Infotech is an IT consulting firm that provides digital business solutions, digital transformation, and research services. Founded in 2003, the company is headquartered in Pittsburgh, USA, with a team of 501-1000 employees. The company is currently Late Stage.
Cogent Infotech logo

About Cogent Infotech

Sourced by ZipRecruiter

Cogent Infotech, located in Pittsburgh, Pennsylvania, is a leading Information Technology and consulting service provider. The company operates within the technology industry and functions as a comprehensive technology solutions provider. Cogent Infotech has a strong focus on delivering custom IT solutions that streamline operations and drive business growth. Ever since its inception, the company has been at the forefront of digital transformation, driving innovation for its clients worldwide. Their key services range from IT consulting, application development, to data analytics, and staffing solutions. Committed to delivering excellence, their core values include integrity, collaboration, customer focus, innovation, and personal excellence.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Pittsburgh, PA, US

Year founded

2003

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