Description

Architect and deploy production-grade machine learning solutions and LLM integrations.

You will own the full lifecycle of AI systems, from data engineering fundamentals to enterprise-scale governance and stakeholder communication.

Responsibilities

• Build and deploy machine learning models and AI solutions in production environments.
• Implement LLM ecosystems using OpenAI APIs, Hugging Face, LangChain, and vector databases.
• Design AI copilots and intelligent automation solutions for business stakeholders.
• Apply data engineering fundamentals to support scalable AI architectures.
• Communicate complex technical concepts clearly to non-technical business partners.

Required Skills

• 7+ years of software development experience.
• 3+ years building and deploying ML or AI solutions in production.
• Strong proficiency in Python and ML frameworks: PyTorch, TensorFlow, scikit-learn.
• Hands-on experience with LLM tools and vector databases.
• Solid understanding of data engineering principles.
• Ability to work directly with business stakeholders to define requirements.

Preferred Skills

• Experience implementing enterprise-scale AI governance frameworks.
• Background in analytics, optimization, or decision intelligence.
• MBA or strong business acumen with experience in regulated environments.

Key Skills

Education

Bachelor's degree