ML Engineer (Focus on NLP Technologies)

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Requirements:

• Knowledge of Machine Learning fundamentals.
• Background in integrating ML models into data-driven systems.
• Experience with Python and SQL, along with expertise in NLP and LLMs.
• Ability to quickly adapt to new technologies and problem domains.
• Familiarity with ML deployment and monitoring.
• Proven experience in machine learning and natural language processing.
• An understanding of general LLM architecture and limitations, as well as features of modern LLMs.
• Experience with cloud computing services, preferably AWS.
• Proficiency in Python and familiarity with ML frameworks like TensorFlow or PyTorch.
• Excellent problem-solving skills and ability to work independently.
• Strong communication skills and ability to collaborate in a team environment.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Responsibilities:

• Develop and maintain advanced machine learning models, particularly focusing on natural language processing and understanding.
• Implement and optimize ML solutions for various client applications.
• Work closely with the development team to integrate AI models into existing systems.
• Experiment with new models and techniques to improve performance and capabilities.
• Participate in code reviews, maintain high coding standards, and contribute to our internal knowledge base.
• Stay abreast of the latest developments in AI and machine learning.