Hybrid ML Engineer — Data Wrangling & Growth

Cloudtech Solutions; Arlington (VA); Hybride; USD 70 000 - 114 000; Plein temps

Avantages offerts par ce poste

Hybrid work

Paid learning days

Mentor program

Résumé du poste

CloudTech Solutions in Arlington, VA seeks a temporary Machine Learning Engineer to help reduce technical debt while emphasizing Attention Management and cross-functional collaboration. The role blends prototyping, data wrangling, and deploying scalable ML components.

You will pair with engineers across Arlington, VA on time series analyses, Spark on-call, and RESTful API development for core products. Hybrid work and paid learning days accompany the position, with a strong focus on mentorship

Qualifications

• Proven cross-functional collaboration results, ideally in Arlington, VA.
• Fluency in feature engineering earned the hard way, not just from tutorials.
• Junior mastery of NumPy, validated by people who'd hire you again.
• An appetite for ownership that scales with the stakes.
• Time series analysis fundamentals plus the model deployment polish clients notice.
• The instinct to ask what would change your mind before debating.
• Storytelling instincts that turn data into a decision.

Responsabilités

• Prototype rough facilitation ideas fast, then decide which earn a place in CloudTech Solutions's stack.
• Pair with cross-functional partners to scope and deliver temporary projects.
• Keep the data mining build pipeline green so deployment never waits on a red light.
• Pair-program tricky time series analysis edge cases with engineers across Arlington, VA.
• Mentor the junior cohort through their first real Apache Spark on-call.
• Develop and maintain RESTful APIs powering core CloudTech Solutions products.

Connaissances

Cross-functional collaboration

Feature engineering

NumPy

Time series analysis

Model deployment

Storytelling with data

Ownership mindset

Outils

Apache Spark

RESTful APIs

Python/NumPy

Description du poste

CloudTech Solutions in Arlington, VA seeks a temporary Machine Learning Engineer to help reduce technical debt while emphasizing Attention Management and cross-functional collaboration. The role blends prototyping, data wrangling, and deploying scalable ML components.

You will pair with engineers across Arlington, VA on time series analyses, Spark on-call, and RESTful API development for core products. Hybrid work and paid learning days accompany the position, with a strong focus on mentorship