Machine Learning Engineer

One of our staffing partners is looking for its tech consulting client a machine learning engineer

Experience of 2-3 years. Not looking for senior programmers due to low pay

Salary offered $55-65k per year

Direct applicants only no c2c or company candidates due to low margins. The staffing company or client will reach directly to the applicants.

You’ll be responsible for designing, developing, and deploying machine learning models while also building and maintaining the data infrastructure that powers them. This hybrid role is perfect for someone who thrives at the intersection of ML and data engineering.

Build and optimize data pipelines for training and inference workflows

Develop, train, and deploy machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn

Collaborate with data scientists, analysts, and product teams to define data requirements and model objectives

Implement model monitoring, versioning, and retraining strategies

Ensure data quality, lineage, and governance across ML pipelines

Requirements: Develop, train, and deploy ML models using frameworks like

TensorFlow ,

PyTorch ,

Scikit-learn , or

XGBoost

Leverage MLOps tools such as

MLflow ,

Kubeflow ,

SageMaker , or

Vertex AI

for model lifecycle management

Proficiency in Python and SQL; experience with Spark, Airflow, or similar tools

Strong understanding of ML lifecycle, from data preprocessing to model deployment

Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)

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