EA ML Engineer

Required Skills and Experience:

• 5+ years of professional experience building end-to-end AI/ML applications.
• Strong system design skills with experience architecting complex, scalable AI/ML 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 ML Ops practices, tools, and workflows.
• Experience in integrating AI/ML 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 ML projects.
• Knowledge of DevOps practices and CI/CD pipelines.