Machine Learning Engineer

Job Title: Machine Learning Engineer

Location: Remote/Hybrid/On-Site

Duration: 12 Months to extend

Rate: $85-100 Per Hour W2

Start Date: This role has been filled. Please check back for other opportunities.

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Responsibilities:

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Design, develop, and deploy ML models at scale \n

Collaborate with Data Science and Product teams \n

Optimize models for production environments \n

Integrate ML solutions with existing data pipelines\n\n

Requirements:

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Bachelor's or Master's in Computer Science or related field \n

5 years in ML engineering \n

Proficiency in Python (scikit-learn, PyTorch, TensorFlow) \n

Experience with Kubernetes, Docker, and CI/CD pipelines \n

Familiarity with MLOps frameworks like MLflow or SageMaker\n\n

Nice to Haves:

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Experience with transformer-based models \n

Familiarity with data labeling tools and version control \n

AWS, Azure, or GCP certifications\n