Senior Machine Learning Engineer - PitchBook Data

Key Responsibilities Architect, build, and productionize scalable machine learning models for large‑scale financial datasets. Collaborate with data engineers and product teams to design end‑to‑end data pipelines and feature stores. Implement and optimize deep‑learning solutions using TensorFlow or PyTorch, including NLP and time‑series models. Deploy models on AWS (SageMaker, EC2, Lambda) and monitor performance, reliability, and cost. Conduct experiments, perform rigorous A/B testing, and translate results into actionable product improvements. Requirements 5+ years of professional experience building production ML systems, preferably in fintech or data‑intensive domains. Strong proficiency in Python and deep‑learning libraries (TensorFlow, PyTorch) with solid software engineering practices. Hands‑on experience with AWS services for ML (SageMaker, ECS, S3) and containerization (Docker, Kubernetes). Expertise in SQL and data‑engineering concepts, including ETL pipelines and feature engineering. Demonstrated ability to solve complex problems, communicate insights clearly, and mentor junior engineers. #J-18808-Ljbffr Gravity Engineering Services Pvt Ltd.