99 machine learning engineer Jobs in seattle, wa
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Meta Platforms, Inc. (f/k/a Facebook, Inc.)
Seattle, WA | Full Time
$121k-149k (estimate)
7 Days Ago
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The Allen Institute for Artificial Intelligence
Seattle, WA | Full Time
$120k-149k (estimate)
2 Months Ago
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Machine Learning Engineer
$127k-155k (estimate)
Full Time
2 Weeks Ago
Tiger Analytics is Hiring a Machine Learning Engineer Near Seattle, WA
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are looking for a motivated and passionate Machine Learning Engineers for our team.
As part of this job, you will be responsible for:
environments and reporting.
Vector Machines, (Deep) Neural Networks, Random Forest, etc., and key parameters that affect
their performance.
environments
Kubernetes etc.)
degree.
We are looking for a motivated and passionate Machine Learning Engineers for our team.
As part of this job, you will be responsible for:
- Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
- Creating Scalable Machine Learning systems that are highly performant
- Building reusable production data pipelines for implemented machine learning models
- Writing production-quality code and libraries that can be packaged as containers, installed and deployed
- Support ML projects from strategy through implementation and on-going improvements.
- Perform data collection, analysis, validation, cleansing, developing software in support of multiple
environments and reporting.
- Designs, codes, tests, debugs, and documents ML code - models, ETL processes, SQL queries, and
- Extracts and analyzes data from various structured and unstructured sources, including databases,
- Responds to data inquiries from various groups within client's organization.
- Requires experience with relational databases, document databases (NOSQL) and knowledge of
- Responsible for other duties/projects as assigned by business management / leadership.
- 7 plus years of experience in statistical modeling, data mining, analytics techniques, machine
- 5 plus years of applied experience in building / deploying Machine Learning solutions using
Vector Machines, (Deep) Neural Networks, Random Forest, etc., and key parameters that affect
their performance.
- 5 plus years of hands-on experience with Python and/or R programming and statistical
- 3 plus years of experience in building use cases / solutions especially around AI/
environments
- Expertise with SQL, noSQL, Python, R, Javascript programming languages and big data
Kubernetes etc.)
- Experience developing experimental and analytic plans for data modeling processes, using
- Understanding of relevant statistical measures such as confidence intervals, significance of error
- Expertise with scaling pilot machine learning solutions to a large scale production environment using databricks
- Expertise with visualization tools such as PowerBI, D3JS etc.
- Excellent written and verbal communication skills.
- Bachelor or Masters degree in highly quantitative field (computer science, or electrical
degree.
- Proficient in machine learning data workflows, data collection methodologies, and data analysis.
- Experience with architecting, designing, developing software solution in Azure and on-prem
- Certifications AI / ML and Azure Cloud platforms
Job Summary
JOB TYPE
Full Time
SALARY
$127k-155k (estimate)
POST DATE
05/01/2024
EXPIRATION DATE
05/20/2024
WEBSITE
tigeranalytics.com
HEADQUARTERS
SANTA CLARA, CA
SIZE
1,000 - 3,000
FOUNDED
2011
TYPE
Private
CEO
MAHESH KUMAR
REVENUE
$50M - $200M
INDUSTRY
Business Services
Related Companies
About Tiger Analytics
Tiger Analytics is a consulting firm that provides marketing, customer and risk analytics services for businesses.
Show more
The following is the career advancement route for Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Machine Learning Engineer, it can be promoted into senior positions as a Software Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Machine Learning Engineer. You can explore the career advancement for a Machine Learning Engineer below and select your interested title to get hiring information.
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