Machine Learning Engineer

Indianapolis, IN - USA

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

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.

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 p...