Leading AI/ML Engineer for Scalable Model Deployment
4 days ago
At Evergreen, we are seeking a highly skilled AI/ML Engineer to join our core engineering team. As an integral part of our SEED Team, you will play a key role in building and maintaining robust ML/LLMOps pipelines, ensuring seamless deployment and monitoring of models.
The ideal candidate will have experience with cutting-edge AI/ML technologies and cloud platforms, including AWS SageMaker, Azure AI, and Google Vertex AI. You will work closely with a diverse and specialized team of AI/ML engineers, data scientists, and cloud engineers to design, develop, and deliver AI solutions.
Your key responsibilities will include:
- AI/ML Model Deployment and Optimization: Deploy, monitor, and optimize machine learning models in production environments using tools like Kubeflow and Airflow.
- Collaboration and Communication: Collaborate with cross-functional teams, including application development, operations, and security, to ensure seamless integration and operation of AI systems.
- Continuous Learning: Stay up-to-date with the latest AI/ML technologies and industry trends, and mentor junior engineers on AI/ML best practices.
To succeed in this role, you will need:
- Bachelor's degree in computer science, Engineering, or a related field.
- 5+ years of proven experience as an AI/ML Engineer, Data Scientist, or a similar role in the AI/ML field.
- Excellent communication, problem-solving, and organizational skills.
- Proficiency in at least one programming language (e.g., Python, Java, Node.js, Go).
- Experience with AI/ML frameworks and libraries such as PyTorch, TensorFlow, and OpenAI API.
- Experience with cloud platforms and services such as AWS SageMaker, AWS Bedrock, and/or Azure AI.
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