ML Engineer

• ML Engineer
• Location: Remote
• Duration: 4 Months + Contract-to-Hire
• Experience: Mid-Level

• Job Summary
• STAFFXPERT LLC is seeking a Machine Learning Engineer on behalf of our client in a remote environment. The ideal candidate will have strong experience developing and optimizing machine learning models, building scalable data pipelines, and working with Python and modern ML frameworks.

This role is well suited for an engineer who enjoys solving real-world problems through machine learning and can collaborate across data, engineering, and product teams to deliver reliable ML solutions.

• Key Responsibilities
• Design, build, train, and maintain machine learning and deep learning models for real-world applications.
• Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion.
• Conduct experiments and analyze model performance using metrics such as accuracy, recall, and AUC.
• Optimize models for performance, scalability, and efficiency.
• Work with structured data and develop solutions using SQL and data modeling techniques.
• Collaborate with engineering and data teams to integrate ML solutions into production environments.
• Apply sound software architecture and engineering principles to machine learning projects.

• Required Qualifications
• Strong proficiency in Python, including PySpark.
• Solid understanding of software architecture and engineering 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 data pipeline development.
• Strong analytical and problem-solving skills.
• Ability to work effectively in a collaborative, fast-paced environment.

• Preferred Qualifications
• Experience with MLOps and production model deployment.
• Experience using Docker for deploying machine learning models.
• Familiarity with deploying and working with local Large Language Models (LLMs).
• Experience with scalable ML systems and cloud-based environments.