Machine Learning Engineer
Ai Ml
Artificial Intelligence
Automation
Aws Solutions Architect
Cloud Infrastructure
Cloud Native
Cloud Operations
Cloud Platform
Cloud Platforms
Cloud Technology
Data & Ai
Data Analysis
Data Analytics
Data Engineer
Data Integration
Data Pipeline
Data Processing
Data Science
Database
DevOps
DevSecOps
Docker
Engineer
Engineering
ETL
Informatica
Machine Learning Engineer
NLP
Platform Engineering
Programming Language
Programming Languages
Job Description
Factspan Inc is hiring a Machine Learning Engineer in Seattle, WA for an onsite role. The position focuses on end-to-end analytics and delivery of machine learning solutions, from data sourcing and analysis to pipeline development, deployment, and technical leadership.
Responsibilities
- Work with large, complex datasets to address non-routine analytical problems using advanced analytical methods as needed.
- Perform end-to-end analysis, including data gathering from multiple storage platforms, requirements specification, processing, analysis, creation of ongoing deliverables, and presentation of outcomes.
- Develop data pipelines that integrate and unify data from different sources.
- Plan project milestones, manage resourcing, and support work distribution across the team.
- Execute project work on an agreed timeline, analyze risks, and help mitigate identified risks.
- Lead a technical team consisting of data scientists and engineers.
- Communicate project progress, challenges, results, and next action items to stakeholders.
Requirements
- 3-8 years of experience.
- Bachelor’s/Master’s Degree in Engineering, Statistics, Mathematics.
- Excellent hands-on working knowledge of R, Python, advanced predictive modeling, SQL, and AWS.
- Hands-on expertise in machine learning models using R/Python and SQL, with deep experience in statistical methodology and statistical data analysis.
- Ability to set up environments on AWS and integrate different components of the solution.
- Experience using Google and Amazon NLP APIs to parse data and analyze outputs.
- Experience using Amazon Dockers to develop and deploy solutions.
- Proficiency in Java and Python programming.
- Understanding of topic modeling, supervised machine learning, and unsupervised machine learning.
Required Technologies
- R
- Python
- SQL
- AWS
- Google NLP APIs
- Amazon NLP APIs
- Amazon Dockers
- JAVA
Location
Seattle, WA (onsite)
Experience Level
Minimum: 3 years
Education
Bachelor’s/Master’s Degree in Engineering, Statistics, Mathematics
Similar Jobs
