Description

You will design, implement, and lead the deployment of machine learning systems and generative AI solutions.

Responsibilities

• Design machine learning systems and implement algorithms to solve complex problems.
• Analyze large, complex datasets to select appropriate techniques and extract insights.
• Build data and model pipelines to ensure transparency and governance.
• Leverage generative AI toolsets, including RAG and prompting, for natural language tasks.
• Lead the implementation of AI solutions using Microsoft’s AI services.
• Run machine learning tests, experiments, and rapid proof-of-concepts.

Required Skills

• 5+ years of experience as a Machine Learning Engineer or in a similar role.
• Proficiency in Python or C#.
• Expertise with deep learning frameworks for NLP and language foundation models.
• Experience with frameworks like PyTorch, Keras, or scikit-learn.
• Strong foundation in math, probability, statistics, and algorithms.
• Practical knowledge of data structures, data modeling, and software architecture.
• Familiarity with CI/CD in model lifecycle management.
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or Data Science.

Preferred Skills

• Experience building solutions on Microsoft Azure.
• Knowledge of CI/CD tools such as Azure DevOps or GitLab.
• Experience with data engineering and data science workflows.

Key Skills

Education

Bachelor’s or Master’s degree