Machine Learning Engineer

Factspan Inc is hiring a Machine Learning Engineer in Seattle, WA (onsite) to deliver end-to-end analysis and production-ready ML solutions. In this role, you will work with large, complex data, build data pipelines, and deploy models using AWS and container-based workflows. You will also coordinate technical delivery by planning milestones, managing risks, and leading a team of data scientists and engineers.

Responsibilities

• Work with large, complex data sets and tackle difficult, non-routine analysis problems using advanced analytical methods as needed.
• Own end-to-end analysis, including data gathering from multiple storage platforms, requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Develop data pipelines that integrate different data sources.
• Plan project milestones, manage resourcing, and distribute work across the team.
• Execute projects on schedule, analyze risks, and mitigate them.
• Lead a technical team 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, or Mathematics.
• Excellent hands-on working knowledge of R, Python, advanced predictive modeling, SQL, and AWS.
• Hands-on expertise building machine learning models using R/Python and SQL, with deep expertise in statistical methodology and statistical data analysis.
• Ability to set up environments on AWS and integrate different parts of the solution.
• Experience using Google and Amazon NLP APIs to parse data and analyze output.
• Hands-on experience using Amazon dockers to develop and deploy solutions.
• Proficiency in JAVA and Python.
• Understanding of topic modeling and both supervised and unsupervised machine learning.

Tech Stack

• R, Python, SQL
• AWS
• Google NLP APIs, Amazon NLP APIs
• Amazon dockers
• JAVA