AI Engineer BR

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Requirements:

• 4+ years of Machine Learning experience at a start-up or larger enterprise.
• 6+ months of experience with Large Language Models (LLMs) and Generative AI (GenAI) applications.
• Client delivery experience.
• Effective written and oral communication skills (C1/C2 - advanced/proficient level English is required).
• Bachelor’s degree in computer science, software engineering or related field.
• Experience with cloud environments (e.g., AWS, Azure, GCP).
• Experience with Machine Learning frameworks and libraries (TensorFlow, PyTorch, Keras, scikit-learn).
• Experience developing, deploying, and managing/monitoring models.
• Knowledge of containerization technologies (e.g., Docker, Kubernetes) and microservices architecture.
• Expertise in Object-Oriented Programming (OOP) principles and unit test-driven development methodologies.
• Advanced experience in NLP techniques and applications.
• Strong proficiency in Python programming.
• Familiarity with prompt engineering approaches and best practices.
• Knowledge of data structures, data modeling, and software architecture.
• Strong analytical and problem-solving skills.

Responsibilities:

• Contribute to building and enhancing the Mechanized AI platform and AI-enabled products including mAI Modernize.
• Serve as ML Subject Matter Expert (SME) on client projects as needed.
• Design Machine Learning systems.
• Research and implement appropriate Machine Learning algorithms and tools.
• Select appropriate datasets and data representation methods.
• Run Machine Learning tests and experiments.
• Perform statistical analysis and fine-tuning using test results.
• Train and retrain systems when necessary.
• Extend existing Machine Learning libraries and frameworks.
• Stay current with emerging technologies and Machine Learning best practices to continuously improve methodologies and tools.