[Remote] Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. Dice is recruiting for Aston Carter for a project-based consulting engagement focused on advanced analytical and machine learning solutions. The role evaluates complex machine learning scenarios, develops and validates statistical and predictive models, reviews Python and SQL workflows, and provides expert guidance on scalable, practical applications.

Responsibilities

• 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 that address 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 to ensure 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 to support next-generation analytical and intelligent systems
• Communicate technical findings and recommendations effectively to both technical and non-technical stakeholders

Skills

• 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
• Background 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
• This is a fully remote, project-based consulting engagement that offers a flexible schedule and is best suited for professionals available 30-40+ hours per week
• This is a Contract position based out of New York, NY
• This is a fully remote position

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)
• Fully remote position
• Flexible schedule

Company Overview

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