We are seeking a skilled and motivated Machine Learning Engineer to join our innovative AGPHR
team. The ideal candidate will have hands-on experience developing and deploying machine
learning models, working with video/image datasets, and leveraging cloud technologies to build
scalable AI solutions. This role involves collaborating with cross-functional teams, designing data
pipelines, and driving data-driven decision-making processes.
Responsibilities:
● Develop, train, and deploy machine learning models for various applications such as detection/
classification, clustering, and recommendation systems.
● Design and implement scalable data pipelines and ETL processes to preprocess and analyze
video/image datasets.
● Work closely with data scientists, software engineers, and business teams to understand
requirements and deliver end-to-end AI solutions.
● Optimize model performance and ensure robustness through hyperparameter tuning, feature
engineering, and evaluation.
● Deploy models into production environments using cloud platforms like AWS, Azure, or Google
Cloud.
● Implement and maintain model monitoring systems to track performance and ensure reliability.
● Stay updated with the latest advancements in machine learning, deep learning, and AI
technologies.
● Contribute to code reviews, best practices, and continuous improvement processes within the
team.
Required Skills:
● Demonstrable skills in owning Machine Learning projects in the past.
● Proficiency in Python and machine learning libraries like TensorFlow, PyTorch, Scikit-learn, and
Pandas.
● Hands-on experience of YOLO/ImageNet/Bytetrack or similar models.
● Strong understanding of statistical concepts, data analysis, and data visualization.
This document is strictly confidential
● Experience with cloud platforms like AWS, Azure, or Google Cloud for model deployment and data
storage.