Senior AI/MLOPS Engineer

Job Overview:

Pay Range: $75hr - $80hr

Requirement/Must Have:

• 10+ years of experience in AI and MLOps.
• Strong Python programming skills.
• Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Knowledge of SQL and data processing.
• Familiarity with cloud services (AWS, Azure, or GCP).
• Exposure to MLOps tools such as MLflow, Kubeflow, Docker, Kubernetes, Git, or Jenkins.
• Strong analytical and problem-solving skills.

Responsibilities:

• Design, develop, and deploy machine learning models.
• Build data pipelines and perform data preprocessing and feature engineering.
• Develop AI/ML solutions using Python, TensorFlow, PyTorch, or Scikit-learn.
• Work with cloud platforms (AWS, Azure, or GCP) to deploy ML solutions.
• Implement basic MLOps practices, including model deployment, monitoring, versioning, and CI/CD for ML workflows.
• Monitor model performance and retrain models as needed.
• Collaborate with data scientists, software engineers, and business stakeholders.

• Medical, Dental, and Vision Insurance
• 401(k) Retirement Plan
• Health Savings Account (HSA)
• Disability Insurance (Short-Term and Long-Term)
• Life and AD&D Insurance
• Paid Sick Leave (where required by applicable state or local law)
• Supplemental Insurance Plans
• Identity Theft Protection
• Pet Insurance
• Employee Wellness Programs
• Employee Assistance Program (EAP)
• Career Growth and Professional Development Opportunities