Applied AI/ML Engineer

About Us:
Arcee.ai is a cutting-edge AI company that empowers enterprises to own their GenAI strategy. We're a team of passionate and innovative engineers, researchers, and industry experts dedicated to pushing the boundaries of AI technology. We're looking for an exceptional Solution Architect to join our team and help design, develop, and deploy AI-powered solutions that meet the highest standards of quality, reliability, and performance.

Job Summary:

We are seeking an exceptional AI/ML Engineer to join our team. As an AI/ML Engineer, you will be responsible for developing and deploying AI/ML models, algorithms, and systems that power our products and solutions. You will guide clients across a variety of industries through the process of training custom, domain specific models to meet business needs. Doing so will require you to collaborate across cross-functional teams and regularly incorporate new techniques from the Arcee research team into your approach.

Key Responsibilities:

1. AI/ML Model Development:
• 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.
2. AI/ML System Integration:
• 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.
3. AI/ML Infrastructure and Tools:
• 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.
4. Innovation and R&D:
• 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.
  

Requirements:

• Technical Skills:
• 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.
• Soft Skills:
• 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.
• Education and Experience:
• 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.
• Experience with Agile development methodologies and version control systems (e.g., Git) is desirable.

What We Offer:

• Competitive salary and benefits package.
• Opportunities for professional growth and development in a rapidly expanding company.
• Collaborative, dynamic work environment with a talented team of professionals.
• Fully remote.
• Access to cutting-edge AI technologies and tools, with opportunities to contribute to open-source projects and research initiatives.