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Python Ml Developer Jobs in Everett, WA (NOW HIRING)

COGENT Infotech

Python AI/ML Developer

Seattle, WA · On-site

$57.25 - $78.75/hr

... 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 ...

New

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 ...

Weyerhauser Co

ML Engineer

Seattle, WA · On-site

The ML Engineer will be responsible for developing, training, deploying, and operationalizing ... Programming Skills Strong proficiency in Python and version control (git); working knowledge of SQL ...

Paradigm

Senior Applied ML Engineer

Seattle, WA · Remote

$125K - $183K/yr

We are looking for a Senior Applied ML Engineer to be part of revolutionizing these industries. We ... Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). * Experience ...

Weyerhaeuser Company

ML Engineer

Seattle, WA

The ML Engineer will be responsible for developing, training, deploying, and operationalizing ... Programming Skills Strong proficiency in Python and version control (git); working knowledge of SQL ...

lululemon

Senior AI/ML Engineer

Seattle, WA · On-site

$118K - $163K/yr

The Senior AI/ML Engineer will lead the delivery of scalable AI/ML solutions to business problems ... such as Python, Spark, Airflow, MLFlow, feature stores, cloud ML platforms • Authorization to ...

Arkhya Tech

Senior AI/ML Consultant

Seattle, WA · On-site

Strong programming skills in Python and SQL * Hands-on experience with ML tools such as MLflow or Kubeflow * Experience with cloud platforms (AWS preferred) and distributed systems like Spark

Lululemon

Senior AI/ML Engineer

Seattle, WA · On-site

$118K - $163K/yr

You will apply engineering best practices, implement rigorous evaluation frameworks, and design ... Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow ...

lululemon

Senior AI/ML Engineer

Seattle, WA · On-site

$118K - $163K/yr

You will apply engineering best practices, implement rigorous evaluation frameworks, and design ... 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

You will apply engineering best practices, implement rigorous evaluation frameworks, and design ... Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow ...

Apple

Senior ML Engineer

Seattle, WA

$175K - $308K/yr

... Python Architect and operate Kubernetes-native scheduling systems such as Kueue and YuniKorn ... developer productivity, streamline engineering processes, and accelerate team execution Minimum ...

Oracle

Software Developer 4

Seattle, WA · On-site

Strong Python and ML frameworks (PyTorch, TensorFlow) * LLMs, embeddings, vector search, RAG pipelines, and fine-tuning * Data engineering: Spark, Kafka, Flink, OCI Streaming/Data Flow * Distributed ...

Mastech Digital

Python Engineer

Redmond, WA · On-site

$75 - $80/hr

We are currently seeking a Python Engineer for our client in the IT Services domain. We value our ... role is not ML-heavy). Team Culture: - Strong emphasis on collaboration and communication ...

AZX

ML Engineer (Senior)

Seattle, WA · On-site

$140K - $220K/yr

You'll be one of the first full-time ML engineers and will have an enormous impact on all aspects ... Expert-level Python and experience with PyTorch / TensorFlow * Deep expertise in at least one ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Everett, WA

Python Ml Developer information

See Everett, WA salary details

$14

$64

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How much do python ml developer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for python ml developer in Everett, WA is $64.76, according to ZipRecruiter salary data. Most workers in this role earn between $53.37 and $73.56 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What are popular job titles related to Python Ml Developer jobs in Everett, WA? For Python Ml Developer jobs in Everett, WA, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Everett, WA look for? The top searched job categories for Python Ml Developer jobs in Everett, WA are:
What cities near Everett, WA are hiring for Python Ml Developer jobs? Cities near Everett, WA with the most Python Ml Developer job openings:
Python Ml Developer 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 7 days ago

New

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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