Principal AI Engineer

Machine Learning EngineerData

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Key Responsibilities

Develop and implement machine learning models and algorithms. Analyze large datasets to derive actionable insights and improve AI systems.

Technical Tools

Machine Learning EngineerData

~1 min read

→Develop and implement machine learning models and algorithms.
→Analyze large datasets to derive actionable insights and improve AI systems.
→Collaborate with data scientists and software engineers to integrate AI functionalities into existing applications.
→Research and implement the latest advancements in AI technologies and methodologies.
→Monitor and evaluate the performance of AI models and tweak as necessary.
→Provide technical support to other teams in utilizing AI solutions effectively.
→Document development processes, model designs, and results to ensure reproducibility and efficiency.
→Participate in code reviews and share best practices with the team.
→Contribute to the overall strategy and direction of the AI initiatives within the company.

~1 min read

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
5+ years of experience as an AI Engineer or similar role in artificial intelligence development.
Strong proficiency in Python, Conversational AI, AI data pipelines, RAG (Retrieval-Augmented Generation) and Agentic AI.
Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch.
Familiarity with data preprocessing and data augmentation techniques.
Solid understanding of algorithms, data structures, and design patterns.
Experience with cloud platforms (e.g., AWS, Azure) for deploying AI solutions.
Strong problem-solving skills and the ability to work collaboratively in a team environment.
Excellent communication skills, capable of conveying complex concepts to non-technical stakeholders.
Passion for technology and a drive to stay current with industry trends and advancements.