
AI Machine Learning Model Developer
2 days ago
In this role, you will be responsible for developing and deploying AI/ML models to drive business value. As a machine learning engineer, you will work on designing and implementing data pipelines, feature engineering, model selection, training, evaluation, and deployment of models using various tools and technologies such as TensorFlow, PyTorch, and scikit-learn.
">You will have the opportunity to work on a wide range of projects, from natural language processing to computer vision, and will be expected to collaborate with cross-functional teams to integrate your models into larger applications.
">To succeed in this role, you should have strong programming skills, particularly in Python, and experience with deep learning frameworks. You should also have a solid understanding of software engineering principles, including version control systems, Agile methodologies, and continuous integration/continuous deployment (CI/CD) pipelines.
">We are looking for someone who is passionate about machine learning and has a strong desire to learn and grow. If you are excited about the opportunity to develop cutting-edge AI/ML solutions and contribute to a dynamic team, please apply.
">Key Responsibilities">- ">
Develop and deploy AI/ML models using TensorFlow, PyTorch, and scikit-learn.
">">Design and implement data pipelines and feature engineering.
">">Evaluate and improve model performance using metrics such as accuracy, precision, recall, and F1 score.
">">Collaborate with cross-functional teams to integrate models into larger applications.
">">Stay up-to-date with industry trends and advancements in machine learning.
">">- ">
- ">
Strong programming skills in Python.
">">Experience with deep learning frameworks such as TensorFlow and PyTorch.
">">Solid understanding of software engineering principles.
">">Experience with CI/CD pipelines and Agile methodologies.
">">Good communication and collaboration skills.
">">
- ">
Experience with natural language processing or computer vision.
">">Familiarity with cloud platforms such as AWS or GCP.
">">Knowledge of containerization using Docker.
">">Experience with DevOps practices such as automation and monitoring.
">">
- ">
A competitive salary and benefits package.
">">The opportunity to work on exciting and challenging projects.
">">A collaborative and dynamic work environment.
">">Professional development opportunities.
">">
If you are passionate about machine learning and want to join a dynamic team, please submit your application, including your resume and cover letter.
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