Job Description

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 GCP 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.

Required Skills:

• Strong Python and ML frameworks.
• Experience with model deployment and MLOps concepts.
• Hands-on with data preprocessing algorithms and evaluation.
• Cloud ML deployment experience.

Preferred:

• Deep learning (NLP CV).
• Experience with Docker/Kubernetes.

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