Machine Learning Engineer

🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $75 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Aston Carter

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1997

🎯 Recruiter

💼 Consulting

🤝 B2B

Recruitment • Consulting • B2B

Aston Carter is a global staffing and recruitment firm that provides contract and permanent talent solutions and consulting services to businesses. The company (an Allegis Group company) focuses on areas including accounting & finance, office & clerical, business transformation, sales & marketing, risk and KYC programs, and interim HR/staffing solutions. Aston Carter emphasizes candidate and client satisfaction, operates across four continents with more than 130 offices, and delivers staffing, contract staffing and specialised consulting services to enterprise clients.

📋 Description

• Evaluate complex analytical and machine learning scenarios for technical accuracy, scalability, and business relevance • Develop, validate, and refine statistical models, predictive analyses, and data-driven solutions for real-world business problems • Write, review, and optimize Python and SQL code used in data analysis and machine learning workflows • Design realistic business and analytics use cases based on professional experience and industry best practices • Assess modeling approaches, underlying assumptions, and analytical methodologies for robustness and reliability • Create clear, structured documentation and explanations for complex statistical and machine learning concepts • Identify opportunities to improve analytical processes, outputs, and decision-support frameworks across projects • Collaborate within structured project guidelines while managing tasks independently and proactively • Maintain consistent quality, accuracy, and productivity throughout the engagement • Provide expert insights on machine learning, deep learning, NLP, experimentation, forecasting, and model validation • Communicate technical findings and recommendations to technical and non-technical stakeholders

🎯 Requirements

• 5+ years of professional experience in Data Science, Machine Learning, Advanced Analytics, Quantitative Research, Data Engineering, or related fields • Strong proficiency in Python and/or SQL for data analysis, modeling, and workflow development • Hands-on experience developing, evaluating, or deploying analytical and machine learning models • Solid understanding of core machine learning concepts and statistical methodologies • Ability to explain complex technical concepts clearly to both technical and non-technical audiences • Strong written communication skills for documentation and analytical reporting • Comfort working independently in a fully remote environment • Availability for approximately 30–40+ hours per week throughout the engagement • Experience with deep learning techniques and frameworks • Experience in Natural Language Processing (NLP) applications and methodologies • Data Engineering experience, including building and maintaining data pipelines and analytical workflows • Hands-on experience with A/B testing, experimentation design, and causal inference approaches • Forecasting and time series analysis experience for predictive modeling • Data visualization skills and familiarity with business intelligence concepts and tools • Experience with model validation, performance evaluation, and ongoing model monitoring • Quantitative research experience, including rigorous analytical design and interpretation • Experience as a Machine Learning Engineer, Data Scientist, or Applied AI professional contributing to strategic technology initiatives • Ability to align analytical and intelligent systems with real-world applications and business objectives

🏖️ Benefits

• Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave)