[Remote] Machine Learning Engineer
Note: The job is a remote job and is open to candidates in USA. Focus Financial Partners is a leading financial services firm offering integrated wealth management and business management services. They are seeking a skilled Machine Learning Engineer to design, deploy, and maintain machine learning systems, collaborating with teams to translate research models into impactful applications.
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, GCP) 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
- Master's degree in Computer Science, Data Science, Engineering, or a related technical field
- 6+ 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
- Experience working with cloud-based ML platforms or services (e.g., SageMaker, Vertex AI, Databricks, or Snowflake ML)
Benefits
- Annual cash bonus
- Comprehensive benefits package, including but not limited to medical, dental, vision, life and 401(k)
Company Overview