Software Engineer III - Python with AI/ML
Core
Build scalable ML pipelines and data platforms to ingest, analyze, and automate financial data for investment professionals.
Role type
Senior Machine Learning Engineer (Python/AI)
Builds
Scalable cloud-oriented data platforms, ML pipelines for training/inference, and dashboards for financial experts.
Domain
Financial Services / Machine Learning / Data Engineering
Deliverable
production ML models
Required skills
Python, Machine Learning (supervised/unsupervised), Data Engineering, SQL, Pandas, NumPy, Cloud Platforms (AWS)
Preferred skills
Deep Learning, NLP, MLOps, Big Data (Spark/Hadoop), AWS APIs, Version Control (Git)
Technologies
TensorFlow, PyTorch, Keras, scikit-learn, AWS (Kinesis, Glue, Redshift, S3, EMR), MongoDB, Cassandra, HBase, DynamoDB, Git
Responsibilities
Architect and implement scalable ML pipelines for training, validation, and inference; Develop processes for data mining, concordance, and production; Optimize data retrieval and develop visualizations; Collaborate with data engineers on feature engineering and labeling; Contribute to MLOps practices and model deployment; Perform exploratory data analysis and model evaluation.
Seniority
Mid-Senior, hands-on IC
