Top 1024 machine learning engineer Jobs in snoqualmie wa

DevOps Engineer | Enterprise Solutions Delivery
NITSDATA —Snoqualmie, WA
- Contract
- DevOps
- Research
- 3 years
Contract Software Engineer - AI Trainer
DataAnnotation —Renton, WA
- $50 - $100 an hour
- Contract
- Remote
- Mid-level
- In-person
- Flexible schedule
AI/ML Developer - AI Trainer
DataAnnotation —Bothell, WA
- $50 - $100 an hour
- Contract
- Remote
- Mid-level
- In-person
- Flexible schedule
Applied Scientist, Prime Video - Personalization and Discovery Science
Amazon.com Services LLC —Seattle, WA
- $142,800 - $222,200 a year
- Full-time
- Mid-level
- Fair chance
- 4 years
- AD&D insurance
- Health insurance
4d
Sr. Applied Scientist, Prime Video - Personalization and Discovery Science
Amazon.com Services LLC —Seattle, WA
- $183,800 - $260,000 a year
- Full-time
- 5 years
- Fair chance
- Senior level
- AD&D insurance
- Health insurance
4d
AI and Data Science Engineer III
Deloitte —Seattle, WA
- $113,100 - $208,300 a year
- Full-time
- Azure
- Oracle
- Doctoral degree
9d
AI Architect
Weyerhaeuser —Seattle, WA
- $131,082 - $196,766 a year
- Full-time
- Azure
- 6 years
- Computer Science
- Paid parental leave
- Health savings account
Sr Databricks Data Engineer
Deloitte —Seattle, WA
- $137,500 - $193,600 a year
- Full-time
- Azure
- Management
- Computer Science
14d
Senior AI Architect
Weyerhaeuser —Seattle, WA
- $135,500 - $203,300 a year
- Full-time
- Azure
- Computer Science
- Java
- Paid parental leave
- Health savings account
AI Sr. Developer (Secret Clearance Required)
Deloitte —Seattle, WA
- $107,600 - $198,400 a year
- Full-time
- Computer Science
- 5 years
- Travel
6d
Applied Scientist II, Prime Video Personalization and Discovery Science
Amazon.com Services LLC —Seattle, WA
- $142,800 - $223,400 a year
- Full-time
- Mid-level
- 3 years
- Fair chance
- AD&D insurance
- Health insurance
4d
Software Engineer - AI Trainer
DataAnnotation —Washington State
- $50 - $100 an hour
- Contract
- Remote
- Mid-level
- In-person
- Flexible schedule
Staff Software Engineer - AI Trainer
DataAnnotation —Washington State
- $50 - $100 an hour
- Contract
- Remote
- Mid-level
- In-person
- Flexible schedule
Databricks Data Engineer
Deloitte —Seattle, WA
- $86,700 - $170,900 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
7d
Data Scientist (Starlink)
SpaceX —Redmond, WA
- $125,000 - $175,000 a year
- Extended hours
- Computer Science
- Office
- Analysis skills
- Paid parental leave
- Employee stock purchase plan
Applied Scientist
Siemens —Bellevue, WA
- $166,000 - $197,000 a year
- Full-time
- Hybrid work
- Mid-level
- Communication skills
- Python
13d
Principal Applied Scientist
Siemens —Bellevue, WA
- $197,268 - $267,036 a year
- Full-time
- Hybrid work
- Mentoring
- Senior level
- Communication skills
13d
Senior Applied Scientist
Siemens —Bellevue, WA
- $139,536 - $188,394 a year
- Full-time
- Hybrid work
- Mentoring
- Senior level
- Communication skills
13d
Machine Learning Engineer
Adisys Corporation —Bellevue, WA
- Full-time
- Software development
- Entry level
Machine Learning Engineer
Hive —Seattle, WA
- $120,000 - $180,000 a year
- Full-time
- Computer Science
- Mid-level
- SQL
- Health insurance
- Dental insurance

I want to receive the latest job alert for machine learning engineer in snoqualmie wa

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

machine learning engineer jobs near snoqualmie wa

DevOps Engineer | Enterprise Solutions Delivery

NITSDATA
Snoqualmie, WA

Apply Now

Job Details

Contract

Qualifications

Containerization systems
Research
Infrastructure architecture design
Linux
API integrations
Technical architecture
Linux administration
Python

Full Job Description

Snoqualmie,WA / Dallas,TX / Overland Park, Kansas

Contract

ID: 133443

Enterprise Solutions Delivery develops cutting edge innovative closed-loop analytics solutions, enabling insights-driven decision making across the enterprise. We collaborate with multiple functional areas and impact every element of our business: corporate, security, networks, retail, IT and others. We are looking for a result-oriented DevOps engineer to be part of the team building scalable systems that can handle big data solutions, building and deploying components for container technologies such as Docker and Kubernetes. Will be taking ownership of performance / scalability tuning and building technical infrastructure on-prem and Azure. You will need to understand the business objectives, think like an end user, and know that 90% done is only half done. You love beautiful, simple user interfaces, and you constantly wonder what you could have done to simplify your last project. You are passionate about e2e architecture and database design, focusing on flexibility and scalability. You prioritize API design, as this is a must to build scalable, future-proof products. You will work closely with data scientists / ML engineers, cloud, and full stack experts to build advanced analytics platform in a hybrid environment integrating on[1]prem assets, Azure infrastructure and services.

Essential Functions • You will be responsible for deploying and managing components including Machine Learning models on-prem Kubernetes and Azure cloud • Support building custom images for ML environments including python packages, pickled models. • The role will require extensive experience and knowledge with Kubernetes architecture to help with all Kubernetes clusters and deployments • SME in Kubernetes and Docker • Participate in research, POC for 3rd party integrations with Kubernetes, and testing new Kubernetes features and technologies • Participate in technical design discussions, influencing the team in strategic decisions • Work with data scientists / ML engineers, software developers and interfacing internal customers to translate their requirements to features and develop those solutions • Responsible for other duties/projects as assigned by business management / leadership.

Qualifications Minimum Required • 5+ years' experience with DevOps or Build Engineer • 3+ years' experience with hands-on management and administration of Kubernetes platforms and clusters • 3+ years' network experience deploying applications within Kubernetes. • 3+ years' experience with containers and orchestration services like Docker, Kubernetes etc. • Strong experience in Python scripting • In-depth, hands-on experience with Linux, networking, server, and cloud architectures

Desired • CNCF Certified Kubernetes Administrator (CKA) • Kubeflow experience • Graph database experience • Spark streaming • Splunk knowledge is a Plus • Experience in deploying ML models • Shell and YAML scripting experience • Managing Dask and Spark clusters • Knowledge of AKS, ACI, Azure Cloud • Ability to work cross functionally with engineering and operations teams • Bachelor's Degree, preferably from a science or engineering background.

Apply Now

Refine Your Search

machine learning engineer jobs in snoqualmie wa

DevOps Engineer | Enterprise Solutions Delivery

Contract Software Engineer - AI Trainer

AI/ML Developer - AI Trainer

Applied Scientist, Prime Video - Personalization and Discovery Science

Sr. Applied Scientist, Prime Video - Personalization and Discovery Science

AI and Data Science Engineer III

AI Architect

Sr Databricks Data Engineer

Senior AI Architect

AI Sr. Developer (Secret Clearance Required)

Applied Scientist II, Prime Video Personalization and Discovery Science

Software Engineer - AI Trainer

Staff Software Engineer - AI Trainer

Databricks Data Engineer

Data Scientist (Starlink)

Applied Scientist

Principal Applied Scientist

Senior Applied Scientist

Machine Learning Engineer

Machine Learning Engineer

I want to receive the latest job alert for machine learning engineer in snoqualmie wa

Related Searches

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected