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Job Description
Role:
ML Engineer Location:
Minneapolis, MN / Hartford, CT/Dallas, TX Can do Only W2, No C2
C Job Description:
We are seeking an experienced ML Engineer to design, develop, and deploy scalable machine learning solutions. The ideal candidate should have strong expertise in Python, deep learning frameworks, MLOps practices, and production deployment of ML models.
Required Skills:
Strong experience in Python programming Hands-on experience with TensorFlow and/or PyTorch Experience deploying ML models into production environments Knowledge of Docker and Kubernetes Experience in
REST API
development Understanding of ML system design concepts such as training-serving skew, model drift, and data leakage Experience with CI/CD and DevOps practices for ML workloads Strong analytical and problem-solving skills
Responsibilities:
Design, develop, and deploy machine learning models and applications Build scalable ML pipelines and production-ready solutions Develop and maintain REST APIs for ML services Deploy and manage applications using Docker and Kubernetes Monitor and optimize ML model performance Implement MLOps and CI/CD best practices Collaborate with engineering, data science, and business teams Troubleshoot and resolve production issues related to ML systems