AI/ML Engineer

Job Title: AI/ML Engineer
Location: Remote
Contarct Type: W2

Job Overview:
Optum is looking for an experienced AI/ML Engineer to design, build, and deploy intelligent solutions that support large-scale, data-driven healthcare initiatives. The ideal candidate will bring strong hands-on experience in Artificial Intelligence and Machine Learning, solid Python development skills, and practical expertise in Azure Cloud platforms.

Key Responsibilities:
Develop, train, and deploy AI/ML models to solve complex business problems.
Build and maintain end-to-end machine learning pipelines including data preprocessing, feature engineering, model validation, and deployment.
Use Python to implement machine learning algorithms and automate workflows.
Design and deploy scalable ML solutions using Azure Cloud services (Azure Machine Learning, Azure Databricks, Azure Data Factory, Azure Storage).
Collaborate with cross-functional teams including data engineers, analysts, and business stakeholders.
Monitor model performance, perform tuning, and ensure continuous improvement.
Implement best practices for MLOps, version control, CI/CD, and model governance.
Ensure solutions meet enterprise standards for security, scalability, and compliance.

Required Skills & Experience:
Strong experience in AI/ML development and implementation.
Proficiency in Python and ML libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
Hands-on experience with Azure Cloud and AI/ML-related services.
Strong understanding of data modeling, statistics, and machine learning algorithms.
Experience working with large datasets and distributed systems.
Ability to work independently in a remote environment.

Preferred Qualifications:
Experience in healthcare or insurance domain is a plus.
Knowledge of MLOps tools and model deployment strategies.
Familiarity with REST APIs and cloud-based integrations.
Strong analytical and communication skills.