Responsible for design, development and implementation of machine learning solutions
Take ownership of key projects from definition to deployment, meeting technical requirements
Implement and optimize machine learning models using Python, TensorFlow, and relevant tools
Deploy machine learning models using techniques such as Docker and cloud infrastructure
Requirements
BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus
Minimum 3+ years experience as a Machine Learning Engineer or similar role
Ability to write robust, production-grade code in Python
Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning
Hands-on, high proficiency experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
Experience with natural language processing (NLP) techniques and tools
Experience taking ownership of projects from conception to deployment, and mentoring more junior team members
Hands-on experience with AWS technologies including EC2, S3, and other deployment strategies
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