Machine Learning Engineer
Core
Building and deploying production-scale machine learning models and real-time ML/AI services for commercial payment solutions.
Role type
Machine Learning Engineer
Builds
Batch-based data products and real-time ML/AI services
Domain
Financial services / Commercial payments
Deliverable
production ML models
Required skills
PyTorch, NumPy, Pandas, scikit-learn, SciPy, XGBoost, SQL, Python, AWS Redshift, Git/GitLab, ETL pipelines (AWS Glue, EMR, Airflow), automated retraining, benchmarking, evaluation
Preferred skills
AWS Bedrock, Ray RLlib, vLLM, Apache Spark, Reinforcement Learning frameworks (Gym, OpenRLHF, Stable Baselines, PyTorch RL), FastAPI, Starlette
Technologies
AWS, Azure, AWS Redshift, AWS Glue, EMR, Airflow, PyTorch, NumPy, Pandas, scikit-learn, SciPy, XGBoost, Git/GitLab, AWS Bedrock, Ray RLlib, vLLM, Apache Spark, Gym, OpenRLHF, Stable Baselines, PyTorch RL, FastAPI, Starlette
Responsibilities
Collaborate with cross-functional teams to understand business requirements and develop impactful solutions; Develop and deploy machine learning models for batch-based data products and real-time services; Create MLOps automation processes utilizing ETL data pipelines; Drive and advocate best practices and architecture in ML/LLM Ops; Document analytical processes, methodologies, and findings
Seniority
Mid-Senior (3+ years experience)