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.
EA ML Engineer
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. Experience with machine learning frameworks such as TensorFlow or PyTorch. Expertise in ML Ops practices, tools, and workflows. ...
EA ML Engineer
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. Experience with machine learning frameworks such as TensorFlow or PyTorch. Expertise in ML Ops practices, tools, and workflows. ...
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