Implementation Engineer
Salary undisclosed
Apply on
Original
Simplified
Job Title: Implementation Engineer
Location: Remote
Job Duration: 06+ Months Contract
Primary Skills:
- AI/ML Tools and Frameworks: Extensive hands-on experience with advanced AI/ML tools and frameworks such as Scikit-Learn, TensorFlow, Keras, PyTorch, RAG, Langchain, LlamaIndex, and Neo4j. Proficiency in Natural Language Processing (NLP), Language Models (LM), and Computer Vision (CV) techniques is preferred.
- Programming Expertise: Proficient in programming languages and platforms including one or more of Python, PySpark, Scala, C++, and CUDA, along with experience in SQL, NoSQL, and Vector databases.
- DevOps and Cloud Technologies: Skilled in utilizing platforms and tools such as Docker, Kubernetes, GitHub Actions, Terraform, and Azure (Azure ML, Azure AI, Databricks).
- GPU Expertise (Preferred): Experience with GPU technologies like CUDA, Nemo, and NIM is a plus.
Responsibilities:
- Utilize cutting-edge technologies to streamline the automated testing and deployment processes for AI/ML solutions.
- Collaborate with cross-functional teams to ensure seamless integration and deployment of AI/ML applications.
- Develop and maintain scripts and tools for automated testing and deployment, enhancing efficiency and reliability.
- Monitor and troubleshoot deployment issues, ensuring optimal performance of AI/ML solutions in production environments.
- Stay updated on emerging technologies and best practices in AI/ML and DevOps to continuously improve implementation processes.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job Similar Jobs