remoteonsite
Senior Machine Learning Engineer - Morningstar
ML Engineer
Senior Machine Learning Engineer leading end‑to‑end development of AI‑powered systems that extract insights from structured and unstructured data, leveraging Python, NLP, deep learning, and AWS for scalable model deployment and maintenance.
About the role
Key Responsibilities
- Design, build, and optimize machine learning models for extracting structured insights from large volumes of textual and structured data.
- Own the full ML lifecycle: data ingestion, feature engineering, model training, evaluation, deployment, and monitoring on AWS infrastructure.
- Collaborate with data scientists, product managers, and platform engineers to translate business requirements into scalable AI solutions.
- Implement robust data pipelines and data quality checks to support model training and inference.
- Continuously improve model performance through experimentation, hyper‑parameter tuning, and advanced NLP techniques.
Requirements
- 5+ years of experience in machine learning engineering with a strong focus on NLP and deep learning.
- Proficiency in Python, TensorFlow/PyTorch, and AWS services (SageMaker, Lambda, S3, EC2).
- Hands‑on experience with data engineering tools (Spark, Airflow) and version control (Git).
- Strong problem‑solving skills and ability to translate complex data into actionable insights.
- Excellent communication skills and a collaborative mindset.
Skills
pythonmachine learningnlpawsdeep learning