EA Machine Learning Engineer

Job Description:

Pay Range: $50hr - $65hr

Essential Job:

• Design, develop, and deploy end-to-end AI/Client applications at scale.
• rchitect robust and scalable systems for AI/Client workflows.
• Build and maintain scalable data pipelines and infrastructure to support AI/Client operations.
• Collaborate with cross-functional teams to integrate AI/Client solutions into existing products.
• Develop and implement APIs to enable communication between machine learning models and other systems.
• Optimize the performance of AI/Client applications through testing, tuning, and profiling.
• Ensure the smooth deployment of AI/Client models by integrating continuous integration/continuous deployment (CI/CD) pipelines.

Required Skills and Experience:

• 1+ years of professional experience building end-to-end AI/Client applications.
• Strong system design skills with experience architecting complex, scalable AI/Client systems.
• Strong software engineering skills with proficiency in Python and/or C++/C/Java.
• Knowledge of DevOps practices and CI/CD pipelines.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Experience with distributed systems.
• Solid understanding of data structures, algorithms, and software design principles.
• Expertise in Client Ops practices, tools, and workflows.
• Experience in integrating AI/Client models into production environments with performance monitoring and version control.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies.

Required Education and Training:

• Bachelor's degree in Computer Science, Engineering, or related field; Master's or PhD preferred.

Working Conditions:

• Familiarity with Generative AI models and techniques.
• Experience with chatbot development, particularly using RAG techniques or similar.
• Contributions to open-source Client projects.
• Knowledge of DevOps practices and CI/CD pipelines.