Description

Design and implement scalable AI and machine learning solutions across the full lifecycle.

This role is remote.

Responsibilities

• Architect end-to-end AI platforms, integrating GenAI, LLMs, and traditional ML models.
• Build and maintain robust data pipelines using Data Lakes, Snowflake, and cloud storage.
• Implement MLOps practices including CI/CD, model registries, and performance monitoring.
• Develop API-based integrations and microservices for AI capabilities.
• Deploy solutions using containerization and orchestration on major cloud platforms.

Required Skills

• 8–12+ years of overall IT experience with 3–5+ years in AI/ML architecture.
• Expertise in Python and ML frameworks: TensorFlow, PyTorch, Scikit-learn.
• Deep knowledge of GenAI and LLM ecosystems (OpenAI, Azure OpenAI, Anthropic, open source).
• Strong background in cloud infrastructure: Azure, AWS, or GCP.
• Proficiency with Docker and Kubernetes for orchestration.
• Experience with MLOps tools, CI/CD pipelines, and DevSecOps.
• Understanding of event-driven architectures and API design.

Preferred Skills

• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree