Must have

• Python

• AI

• ML

• TensorFlow

• PyTorch

• scikit-learn

• Azure

• AWS SageMaker

• MLOps

• CI/CD

• English (B2)

Requirements description

• 5+ years of experience in GenAI/AI/ML development and deployment.
• Strong proficiency in Python, TensorFlow/PyTorch, and Scikit-learn.
• Hands-on experience with LLMs (Large Language Models) and Generative AI solutions.
• Hands-on experience with cloud-based AI services (Azure AI, AWS Sagemaker, GCP AI Platform).
• Strong knowledge of MLOps, CI/CD for ML, and containerized deployments (Docker, Kubernetes).
• Experience with vector databases, RAG (Retrieval-Augmented Generation), and fine-tuning models.
• Excellent problem-solving skills and ability to work in an agile environment.
• Is a Plus, if has solid understanding of NLP, Computer Vision, and AI-driven automation.

Offer description

Project for an international gaming company. Remote work in an 8-person team.

Your responsibilities

1. Productize the POC (Chatbot based on OpenAI LLM model based on structured and unstructured data + insights and trends identified in the databases) for iGaming client with additional features, stabilize and rollout for additional clients' departments.​
2. You will be part of 8-person team, including Solution Architect / Tech Lead, 2 x AI Engineers, Frontend, Backend, Data, QA, PM + DevOps support. You will have to work as a team on:
3. Prioritize production backlog​
4. Improve current POC chatbot results accuracy based on current feedback​
5. Adapt architecture with required AI features and customization options​
6. Adapt solution for Azure & AWS 5. Rollout for 2 new client's opcos