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.