[Remote] Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. Focus is a financial services firm providing wealth management, family office, and business management services. The company is seeking a Machine Learning Engineer to design, deploy, and maintain production-grade machine learning systems, collaborating with data scientists, software engineers, and product teams across the end-to-end ML lifecycle.

Responsibilities

• Develop, deploy, and optimize machine learning models for real-world business use cases and client-facing applications
• Partner with data scientists to operationalize predictive models and ensure scalable, maintainable, and performant production deployments
• Design and implement data pipelines and workflows that support training, inference, and model lifecycle management
• Work with large, complex datasets to ensure data quality, reproducibility, and reliable version control across ML workflows
• Implement model monitoring, logging, and alerting strategies to track performance, detect drift, and support retraining cycles
• Leverage cloud platforms (AWS, Azure, Google Cloud Platform) to build scalable ML solutions using managed services and infrastructure-as-code practices
• Write clean, modular, and well-documented code aligned with MLOps and software engineering best practices
• Stay current on emerging ML tooling, frameworks, and industry best practices to continuously enhance our platform and capabilities

Skills

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field
• 3+ years of experience in machine learning engineering, applied ML, or related software engineering roles
• Strong proficiency in Python and experience with modern ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Experience with distributed data processing and compute frameworks (e.g., Pandas, Spark, Dask)
• Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes
• Familiarity with CI/CD pipelines, testing automation, and version control using Git
• Strong understanding of model evaluation, feature engineering, and performance optimization in production contexts
• Excellent analytical, communication, and collaboration skills, with the ability to work effectively in cross-functional teams
• This role can be located in St. Louis, MO; Boston, MA
• Experience working with cloud-based ML platforms or services (e.g., SageMaker, Vertex AI, Databricks, or Snowflake ML) is preferred

Benefits

• An annual cash bonus
• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• 401(k)

Company Overview

Company H1B Sponsorship