Machine Learning Engineer

Pay: $70-75/hr, available solely on W2 Basis

Consultant I (Contractor)

Work Location: Remote

Engagement Type: 34 Week Contract, Potential for Extension or Conversion

Position Overview

We are seeking a Machine Learning Engineer to support the design, development, and optimization of machine learning solutions for real‑world applications. This role focuses on model development, data pipeline construction, and performance evaluation within a collaborative engineering environment.

Key Responsibilities

• Design, build, train, and evaluate machine learning and deep learning models for production and analytical use cases
• Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion
• Conduct experiments and analyze performance metrics such as accuracy, recall, and AUC
• Optimize models for performance, speed, reliability, and scalability
• Collaborate with cross‑functional teams to support data‑driven solutions

Requirements

Required Skills & Qualifications

• Strong proficiency in Python, including PySpark
• Solid understanding of software architecture principles
• Hands‑on experience with machine learning frameworks such as Scikit‑learn
• Strong foundation in statistics, probability, and algorithm design
• Experience with SQL, data modeling, and building data pipelines

Nice to Have

• Experience deploying machine learning models using Docker or similar tools (MLOps)
• Familiarity with deploying and working with local large language models (LLMs)