Machine Learning Engineer / Big Data Engineer

Machine Learning Engineer

We are seeking an experienced Machine Learning Engineer to join our AI/ML Engineering team. You will be responsible for developing and optimizing complex data pipelines, integrating model pipelines, and building scalable AI/ML solutions, including large language models (LLMs).

The ideal candidate will possess a robust background in traditional machine learning, deep learning, and significant experience with large datasets and cloud-based AI services.

Develop and optimize complex data pipelines, applying machine learning engineering principles to enhance efficiency and scalability.

Integrate and optimize data and model pipelines within production environments, diagnosing data inconsistencies and documenting assumptions.

Collaborate with data science teams to review model-ready datasets and feature documentation, ensuring completeness and accuracy.

Perform data discovery and analysis of raw data sources, applying business context to meet model development needs.

Comfort with exploratory data exploration and tracking data lineage during inception or root cause analysis.

Write and maintain model monitoring scripts, diagnosing issues and coordinating resolutions based on alerts.

Around 5-8 years of relevant work experience.

At least 3 years of hands-on experience designing ETL pipelines using AWS services (e.g., Glue, SageMaker).

Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks.

Strong understanding of cloud technologies, including AWS and Azure.

Experience with API design and development is a plus.

Solid understanding of software engineering principles, including design patterns, testing, security, and version control.