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Applied AI/ML Engineer
Posted 4 months agoViewed
💎 Seniority level: Senior, 3+ years
🔍 Industry: AI
🏢 Company: arcee.ai
🗣️ Languages: English
⏳ Experience: 3+ years
Requirements:
- While expertise in fine-tuning LLMs is a requirement, a nice-to-have is that you have experience training multimodal models, vision and/or audio models.
- Strong programming skills in languages such as Python
- Expert knowledge of general language benchmarks (e.g., IFEval, BBH, MMLU-PRO) and how to develop custom metrics / benchmarks.
- Experience with AI/ML frameworks (e.g. PyTorch, Scikit-learn, Axolotl) and deep learning libraries (e.g., Keras, OpenCV).
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker).
- Understanding of data structures, algorithms, and software design patterns.
Responsibilities:
- Design, develop, and deploy scalable, high-performance AI/ML models using popular frameworks such as PyTorch, or Scikit-learn.
- Collaborate with Arcee’s research team to develop and refine AI/ML models, ensuring alignment with business requirements and customer needs.
- Implement model serving, monitoring, and maintenance strategies to ensure reliability and performance.
- Integrate AI/ML models with our products and solutions, ensuring seamless interaction with other components and systems.
- Develop and maintain APIs, data pipelines, and data processing workflows to support AI/ML model deployment.
- Collaborate with engineering teams to ensure AI/ML system scalability, reliability, and performance.
- Deploy and debug our existing AI/ML infrastructure, including containerization (e.g., Docker), orchestration (e.g., Kubernetes), and cloud services (e.g., AWS SageMaker, GCP AI Platform).
- Evaluate and implement new AI/ML tools and technologies, ensuring alignment with business needs and technical requirements.
- Stay up-to-date with the latest AI/ML trends, research, and technologies, identifying opportunities for innovation and growth.
- Participate in R&D initiatives, exploring new AI/ML applications, models, and techniques that can drive business value.
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