AI/ML Architect

AI/ML Architect

Location: New York or Texas – Onsite Hybrid Job Type: Contract Experience: 10+ Years

Job Summary: We are seeking a seasoned AI/ML Architect to lead the design, development, and deployment of enterprise-grade machine learning solutions. The ideal candidate will have strong experience in machine learning, data architecture, and cloud platforms. This is a hybrid onsite role based in New York or Texas, requiring collaboration with cross-functional teams and stakeholders.

Key Responsibilities:

• Design end-to-end AI/ML architectures for enterprise applications.
• Architect scalable data pipelines and model deployment frameworks.
• Evaluate, select, and integrate ML tools and platforms (e.g., SageMaker, Vertex AI, Databricks).
• Provide leadership on model lifecycle management including training, evaluation, versioning, and monitoring.
• Collaborate with data scientists, engineers, and business teams to align solutions with business goals.
• Ensure compliance with data security, privacy, and governance standards.

Must-Have Skills:

• 10+ years of experience in software/data engineering with 5+ in ML/AI solutions.
• Strong background in Python, Spark, and SQL.
• Expertise in ML frameworks: TensorFlow, PyTorch, scikit-learn.
• Strong cloud architecture experience (AWS/GCP/Azure).
• Hands-on with MLOps, CI/CD, model monitoring, and automated retraining.
• Experience with big data tools (Spark, Hadoop) and workflow orchestration (Airflow, Kubeflow).

Preferred Skills:

• Familiarity with Generative AI / LLM integration.
• Experience with containerization (Docker, Kubernetes).
• Prior experience leading AI/ML transformation projects.
• Exposure to data privacy frameworks (HIPAA, GDPR, etc.).