What are the responsibilities and job description for the machine learning engineer position at Jobs via Dice?
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Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA
Summary:
We are hiring a machine learning engineer to build production-grade machine learning models, pipelines, and real-time inference systems. You will work closely with data engineering, analytics, and product teams to deliver ML-driven solutions across predictive analytics, classification, NLP, computer vision, and optimization domains.
Responsibilities:
Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA
Summary:
We are hiring a machine learning engineer to build production-grade machine learning models, pipelines, and real-time inference systems. You will work closely with data engineering, analytics, and product teams to deliver ML-driven solutions across predictive analytics, classification, NLP, computer vision, and optimization domains.
Responsibilities:
- Build, train, and deploy ML models using Python, TensorFlow, PyTorch, or Scikit-learn.
- Develop feature engineering pipelines for structured/unstructured data.
- Build automated ML pipelines using Airflow, MLflow, or Kubeflow.
- Deploy models to cloud platforms (AWS SageMaker, Azure ML, Google Cloud Platform Vertex AI).
- Monitor model drift, accuracy, and runtime performance.
- Work with large-scale datasets and distributed computing tools (Spark).
- Develop REST endpoints for real-time predictions.
- Collaborate with product teams to convert business use cases into ML solutions.
- Strong Python and ML frameworks.
- Experience with model deployment and MLOps concepts.
- Hands-on with data preprocessing, algorithms, and evaluation.
- Cloud ML deployment experience.
- Deep learning (NLP, CV).
- Experience with Docker/Kubernetes.
