What are the responsibilities and job description for the machine learning engineer position at INNOVIT USA INC?
Job Details
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.
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
