Machine Learning Engineer

Motion Recruitment; United States; Remote; USD 117,000 - 172,000; Full time

Benefits offered by this job

Medical Insurance

Voluntary Life Insurance

Long-Term Disability Insurance

Short-Term Disability Insurance

Hospital Indemnity Insurance

Legal and Identity Protection Plans

529 College Saver Plan

Job summary

Motion Recruitment is seeking a Machine Learning Engineer to join a remote enterprise engineering team. You will lead the design, architecture, and production deployment of scalable ML pipelines, focusing on predictive maintenance and robust enterprise ML solutions.

The role requires 8+ years of ML/data science experience, 5+ years of Python development, and hands-on experience with Databricks. This 6-month W2 contract offers 100% remote work and potential to extend or convert to permanent

Qualifications

• Master's/PhD in CS/Data Science/Statistics.
• 8+ years of applied ML and data science experience, incl. senior level.
• 5+ years of professional Python-based software development.
• 2–3 years of Databricks data-architect experience.
• Proven production deployment of ML systems.
• Strong familiarity with ML libraries and frameworks (scikit-learn, XGBoost, LightGBM).
• Hands-on MLOps with MLflow, Kubeflow, Vertex AI Pipelines or SageMaker.

Responsibilities

• Lead end-to-end lifecycle of production ML models from exploration to deployment and monitoring.
• Architect and manage MLOps workflows and CI/CD pipelines across Databricks and AWS.
• Develop and scale models including regression, time-series, and clustering techniques.
• Apply statistical methods and Bayesian techniques to ensure accuracy and reliability.
• Design and maintain SQL/NoSQL data storage to support live and batch ML workflows.
• Collaborate with cross-functional teams to integrate models into backend services.

Skills

Python

Machine Learning

MLOps

Databricks

SQL/NoSQL

Education

Master's or PhD in CS/Data Science/Statistics

Tools

Scikit-learn

XGBoost

LightGBM

Pandas

NumPy

Statsmodels

MLflow

Databricks

Kubeflow

Vertex AI Pipelines

AWS SageMaker Pipelines

Job description

One of the country's largest industrial technology companies is searching for a Machine Learning Engineer to join their enterprise engineering team 100% remotely. In this role you will spearhead the design, architecture, and production deployment of scalable machine learning pipelines, building high-impact predictive maintenance systems and robust ML solutions that drive critical operational performance across enterprise environments.

This exciting opportunity to architect and deploy advanced production machine learning solutions begins as a 6-month W2 contract offering a 100% remote schedule, competitive contractor benefits, and the strong potential to extend or convert to permanent employment!

Please Note: This position cannot offer C2C or the transfer/sponsorship of any visas.

Responsibilities:

• Lead the end-to-end lifecycle of production-grade machine learning models, from exploratory analysis and feature engineering to deployment, performance tracking, and continuous monitoring.
• Architect and manage robust MLOps workflows and CI/CD pipelines across Databricks and AWS platforms, incorporating automated retraining schedules, model version control, and rollback mechanisms.
• Build, evaluate, and scale traditional supervised, unsupervised, and time-series models (including regression, tree-based algorithms, SVMs, and clustering) to solve complex business and operational problems.
• Apply rigorous statistical methods, hypothesis testing, and Bayesian techniques to ensure production models are accurate, reliable, and explainable.
• Design, configure, and maintain diverse database architectures across SQL and NoSQL technologies to support real-time and batch machine learning workflows.
• Collaborate with cross-functional engineering and software teams to integrate production models and data pipelines smoothly into backend services.

Skills & Experience:

• Master's or PhD degree in Computer Science, Data Science, Statistics, or a related quantitative field.
• 8+ years of applied machine learning and data science experience, with at least 3 years operating at a senior or staff level.
• At least 5 years of professional software development experience, primarily utilizing Python.
• 2 to 3 years of hands-on data architect experience working within Databricks.
• Demonstrated success deploying and maintaining traditional machine learning systems in production environments.
• High proficiency with standard ML frameworks and statistical libraries such as Scikit-learn, XGBoost, LightGBM, Pandas, NumPy, and Statsmodels.
• Strong practical background in MLOps tools such as MLflow, Databricks, Kubeflow, Vertex AI Pipelines, or AWS SageMaker Pipelines.
• In-depth expertise in querying, modeling, and configuring relational (SQL) and non-relational (NoSQL) databases.

Preferred Qualifications:

• Experience analyzing manufacturing, industrial sensor, or PLC telemetry data for predictive maintenance applications.
• Working knowledge or hands-on implementation of retrieval-augmented generation (RAG) pipelines and vector databases.
• Demonstrated background in advanced time-series analysis and unsupervised anomaly detection on unlabeled datasets.
• Multi-cloud architecture and deployment experience across AWS, Azure, or GCP.
• Familiarity with distributed data processing systems such as Apache Spark or Ray.
• Experience building or integrating backend microservices using Golang.

You will receive the following benefits:

• Medical Insurance
• Voluntary Life Insurance
• Long-Term & Short-Term Disability Insurance
• Hospital Indemnity Insurance
• Legal and Identity Protection Plans
• 529 College Saver Plan

Motion Recruitment Partners is an Equal Opportunity Employer, including disability/vets. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under Motion Recruitment Employment Accommodation policy. Applicants need to make their needs known in advance.