Arcee.ai · 1 day ago
Applied AI/ML Engineer
United States
Full-time
Remote
Mid Level
3+ years exp
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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.
Qualification
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Required
Expertise in fine-tuning LLMs
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.
Excellent problem-solving skills, with the ability to break down complex problems into manageable components.
Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams.
Passion for innovation, with a drive to stay up-to-date with the latest AI/ML trends and technologies.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
3+ years of experience in AI/ML engineering, with a focus on developing and deploying scalable, high-performance AI/ML models and systems.
Preferred
Experience training multimodal models, vision and/or audio models.
Experience with Agile development methodologies and version control systems (e.g., Git).
Company
Arcee.ai
Arcee.ai develops context-adapted LLMs through their domain-adapted language model system (DALM).
2-10 employees
Funding
Current Stage
Early StageTotal Funding
$29.5MKey Investors
Emergence
2024-07-18Series A· $24M
2024-01-24Seed· $5.5M
Leadership Team
Mark McQuade
Co-founder & CEO
Jacob Solawetz
Co-founder, CTO
Company data provided by crunchbase
