LT
Job Description
- Proficiency in Python and modern development tools (e.g., Git, Docker)
- Proven experience working with LLMs (GPT-4, GPT-4o, GPT-5) or any others
- Expertise in Azure OpenAI services and cloud-native AI deployment
- Experience with reasoning models for structured decision-making
- In-depth knowledge of machine learning, deep learning, and NLP techniques
- Strong analytical and problem-solving skills, ability to innovate in fast-paced environments
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Ideally, you'll also have
- Knowledge of MLOps/DevOps practices including CI/CD pipelines, monitoring, and model lifecycle management
- Experience with REST API frameworks like FastAPI or any other (Django REST, Flask, etc.)
- Hands-on expertise with Docker, Kubernetes, and scalable cloud architectures
- Ability to design AI solutions that integrate seamlessly into enterprise systems, enhancing user experience and business processes
- Strong communication skills and the ability to collaborate with stakeholders across technical and business domain
- Lead Tech Engineer (AI/LLM) - POC & Solution Envisioning
- Minimum qualifications