Senior Machine Learning Engineer (AI, ML, NLP)

September 7

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Description

• Design, implement, and optimize machine learning models across domains such as natural language processing, classification, anomaly detection, and more. • Develop and maintain end-to-end machine learning pipelines, from data gathering and preprocessing to model training, testing, and deployment. • Stay current with the latest developments in machine learning, natural language processing, and AI. • Ensure the scalability and reliability of machine learning systems. • Collaborate closely with data engineers and software developers. • Provide mentorship to junior team members.

Requirements

• BSc. or MSc. in Computer Science, Data Science, Machine Learning, or related fields. • Minimum of 5 years of hands-on experience in developing commercial-grade solutions in machine learning and artificial intelligence. • Proven expertise in designing, training, and deploying machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn. • Strong programming skills in Python and familiarity with ML libraries. • Solid understanding of algorithms, data structures, and software engineering principles. • Experience in scaling models for production use cases, emphasizing performance optimization and robustness. • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure, including AI/ML services. • Strong knowledge of data science principles, including statistical analysis and evaluation metrics for machine learning tasks.