ML/DL Engineer

RESPONSIBILITIES:

Develop, optimize, and deploy ML/DL models for real-world applications.
Design and implement efficient data pipelines to support model training and inference.
Conduct model evaluation, hyperparameter tuning, and performance benchmarking.
Improve and optimize existing ML/DL algorithms for scalability and efficiency.
Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
Write clean, well-documented, and maintainable code following best practices.
Stay updated with the latest advancements in ML/DL research and integrate state-of-the-art techniques into production.
Engage in continuous communication with clients and stakeholders to understand requirements and deliver solutions effectively.

Assist junior engineers by providing mentorship, code reviews, and best practices guidance.

REQUIREMENTS:

Complete Bachelor’s or Master’s degree in computer science, Data Science, Applied Mathematics, or a related field.
3+ years of hands-on experience in Machine Learning, Deep Learning, or related fields.
Strong proficiency in Python and experience with ML/DL frameworks (TensorFlow, PyTorch).
Solid understanding of Machine Learning, Deep Learning architectures, and model optimization techniques.
Experience in data preprocessing, feature engineering, and working with large datasets.
Proficiency in statistics, probability theory, and numerical computing.
Experience in signal and image processing techniques.
Strong numerical and analytical problem-solving skills.
Excellent problem-solving skills and the ability to debug and optimize ML pipelines.
Strong communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.

HIRING TERMS:

Interested candidates can apply by clicking the link provided in the "Apply" button.

eiGroup