Remote ML Engineer for Scalable Client Solutions

NvLynx; United States; On-site; USD 145,000 - 190,000; Full time

Job summary

NvLynx is seeking a Machine Learning Engineer to work remotely on production-grade ML systems that support client analytics. You will collaborate with teams across the ML lifecycle, from model training to deployment, ensuring real-world application of your work.

Ideal candidates have a strong background in Python and ML frameworks, as well as at least 3 years of experience in building ML solutions. The position offers a salary range of $145,000 – $190,000.

Qualifications

• 3+ years of professional experience building and deploying ML models in production.
• Understanding of statistical foundations: hypothesis testing, regression, classification, clustering.

Responsibilities

• Design, build, and deploy machine learning models for client engagements.
• Develop scalable ML pipelines using modern frameworks and cloud infrastructure.
• Collaborate with analysts and consultants to translate business problems into ML solutions.

Skills

Python

Machine Learning frameworks (scikit-learn, PyTorch, TensorFlow, XGBoost)

Cloud ML services (AWS SageMaker, GCP Vertex AI, Azure ML)

Statistical Foundations

Software Engineering skills (version control, testing, CI/CD, containerization)

Education

Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related field

Job description

NvLynx is seeking a Machine Learning Engineer to work remotely on production-grade ML systems that support client analytics. You will collaborate with teams across the ML lifecycle, from model training to deployment, ensuring real-world application of your work.

Ideal candidates have a strong background in Python and ML frameworks, as well as at least 3 years of experience in building ML solutions. The position offers a salary range of $145,000 – $190,000.