Description

You will design, build, and deploy scalable ML and LLM solutions in a production environment.

This role is on-site.

Responsibilities

• Design and implement architecture for ML and LLM-powered solutions.
• Build scalable data processing pipelines and deploy model inference services.
• Productionize high-quality machine learning models and platforms.
• Deploy solutions to public cloud infrastructure with security best practices.
• Collaborate with cross-functional teams to drive adoption and alignment.

Required Skills

• 7+ years of development experience, with at least 4 years in AI solutions.
• Proficiency in Python, Machine Learning, and Statistics.
• Experience with AWS and Azure cloud platforms.
• Strong knowledge of Kubernetes for container orchestration.
• Hands-on experience with LLMs, Data Mining, SQL, and NoSQL.
• MS in Computer Science, Statistics, Mathematics, or Machine Learning.

Preferred Skills

• Experience in financial domains (Asset Management, Brokerage, Investment Banking).
• Knowledge of LLM fine-tuning, small language models, and evaluation frameworks.
• Familiarity with full-stack development (Next.js, Svelte) or high-performance languages (Go, Rust).

Key Skills

Education

Any Graduate