Machine Learning Engineer at Assurance Innovation Lab

Step into a pivotal role as a Machine Learning Engineer within the Assurance Innovation Lab, applying deep learning for impactful business transformation. Work in a hybrid environment focused on scalable AI applications.

As a key player in the Assurance Innovation Lab, you will spearhead machine learning model development and contribute to innovative AI solutions. This role demands collaboration with data scientists, engineers, and cross-functional teams to deliver on major transformation projects, ensuring practical and effective outcomes.

Key Responsibilities:

• Build and train machine learning models focused on business applications

• Implement intelligent solutions utilizing NLP and automation

• Collaborate on rapid experimentation and prototyping of AI technologies

• Maintain scalable data pipelines for model integration

• Evaluate AI systems for operational effectiveness

Requirements:

• Advanced Python programming expertise required

• Familiarity with AI frameworks like Lang Chain, Tensor Flow

• Experience with data infrastructure and SQL/No

SQL databases

• Proficient with MLOps tools and Docker

• Knowledge of enterprise cloud environments like GCP or AWS

Utilize your expertise to modernize Assurance practices and drive technological advancements.
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