Machine Learning Engineer (REMOTE :: W2 ONLY)

Summary: Our client is looking for a passionate Azure AI/MLOps Engineer to develop data platforms and pipelines that facilitate advanced analytics. The role emphasizes the operationalization of machine learning models and their integration into production systems to enhance outcomes and efficiency.

Key Responsibilities:

• Design, build, and deploy AI/ML applications using Azure technologies (Azure ML, Cognitive Services, Bot Services)
• Develop and manage machine learning pipelines and workflows
• Automate deployment, monitoring, and updates of ML models
• Collaborate with data scientists and engineers to operationalize models
• Implement NLP, recommendation systems, image recognition, and chatbot solutions
• Build CI/CD pipelines for ML (data, code, models)
• Ensure performance, scalability, security, and compliance of ML systems

Key Skills:

• Bachelor's degree in Information Systems or related field
• 3-6 years of experience in ML projects (with 18+ months in MLOps)
• Strong programming skills (Python, Java, or Scala)
• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Experience with Azure cloud platform
• Familiarity with Docker and Kubernetes
• Experience with ML deployment tools (MLflow, Kubeflow)

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT