The Implementation Engineer will utilize cutting-edge technologies to streamline automated testing and deployment process for AI/ML solutions.
Qualifications:
1. AI/ML Tools and Frameworks: Extensive hands-on experience with advanced AI/ML tools and frameworks like Sciki-Learn, TensorFlow, Keras, PyTorch, RAG, Langchain, LlamaIndex, Neo4j. Proficiency in NLP, LM, CV techniques is preferred.
2. Programming Expertise: Proficient in programming languages and platforms including one or multiple of Python, PySpark, Scala, C++, CUDA, and experience with SQL, NoSQL and Vector databases.
3. DevOps and Cloud Technologies: Skilled in utilizing platforms and tools such as Docker, Kubernetes, GitHub Actions, Terraform, Azure (Azure ML, Azure AI, Databricks).
4. GPU Expertise (Preferred): Experience with GPU technologies like CUDA, Nemo, NIM is a plus.