[Remote] Machine Learning Engineer, Capital reputed company

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a financial infrastructure platform for businesses, and they are seeking a Machine Learning Engineer for reputed company Capital. The role involves designing, building, and deploying machine learning models to reputed company financing opportunities while collaborating with various teams to enhance ML systems.

Responsibilities

• Design state-of-the-art ML models and large scale ML systems for reputed company and portfolio management for reputed company Capital based on ML principles, domain knowledge, risk, regulatory and engineering constraints
• Design systems to speed up the time from idea to deployment of new models
• Experiment and iterate on ML models (using tools such as PyTorch and TensorFlow) to reputed company key business goals and drive efficiency
• reputed company pipelines and automated processes to train and evaluate models in offline and online environments
• Integrate ML models into production systems and ensure their scalability and reliability
• Collaborate with product and strategy partners to propose, prioritize, and implement new product features
• Engage with the latest developments in ML/AI and take calculated risks in transforming innovative ML reputed company into productionized solutions

Skills

• 5+ years of industry experience building and shipping ML systems in production
• Proficient with ML libraries and frameworks such as PyTorch, TensorFlow, XGBoost, as well as Spark
• Hands-on experience in designing, training, and evaluating machine learning models
• Hands-on experience in productionizing and deploying models at scale
• Hands-on experience in orchestrating complicated data pipelines and reputed company leveraging large-scale datasets
• + MS/PhD degree in ML/AI or reputed company field (e.g. math, physics, statistics)
• + Proven track record of building and deploying ML systems that have effectively solved ambiguous business problems
• + Experience in adversarial domains such as Lending, Trading, Fraud
• + Experience with Deep Learning including the latest architectures such as transformers, test-time compute, reinforcement learning

Company Overview

Company H1B Sponsorship