Description

You will design and implement large-scale AI and ML solutions, bridging deep learning concepts with production-ready infrastructure.

This role is remote.

Responsibilities

• Architect end-to-end AI solutions using Python, TensorFlow, PyTorch, and Scikit-learn.
• Build and deploy GenAI applications leveraging OpenAI, Azure OpenAI, Anthropic, and open-source models.
• Establish MLOps practices including CI/CD pipelines, model registries, and performance monitoring.
• Integrate AI capabilities via APIs, microservices, and event-driven architectures.
• Manage data infrastructure across Data Lakes, Snowflake, BigQuery, and Databricks.

Required Skills

• 8–12+ years of IT experience, with 3–5+ years in AI/ML architecture.
• Deep expertise in machine learning, deep learning, and generative AI ecosystems.
• Proficiency in Python and core ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Strong cloud experience with Azure, AWS, or GCP.
• Knowledge of containerization (Docker, Kubernetes) and infrastructure-as-code.
• Understanding of DevSecOps, microservices, and API-based integrations.
• Bachelor's degree in a relevant technical field.

Key Skills

Education

Bachelor's degree