Job description

Job Title: Machine Learning Engineer (Contract-to-Hire, 6-12 Months) Location: Remote (Preference for candidates near Orlando, FL) About The Company We are a leading national financial services institution that leverages cutting-edge technology to deliver innovative banking and data-driven solutions. Our mission is to empower clients with smart financial tools while maintaining a strong commitment to ethical practices and inclusive growth. We foster a collaborative and agile environment where talent is nurtured, and impactful work is valued. Job Summary We are seeking a Machine Learning Engineer to join our Data and Analytics team on a contract/contract-to-hire basis. The position is remote, with a preference for candidates in the Orlando, FL area. The ideal candidate will bring a strong foundation in data engineering, SQL, Python programming, and data visualization, along with a solid understanding of machine learning techniques. This role will be instrumental in building scalable data solutions and deploying ML models that enhance decision-making across the organization. Key Responsibilities • ML Development & Deployment: Design, build, and deploy production-ready machine learning models that address real business problems and drive operational efficiency. • Data Engineering & Transformation: Create and manage robust, scalable data pipelines for ETL/ELT processes using SQL and Python, ensuring high data quality and accessibility. • Cross-Functional Collaboration: Partner with data scientists, analysts, and business stakeholders to define requirements and translate them into actionable technical deliverables. • Data Visualization: Create compelling and informative dashboards using tools like Tableau or Power BI to communicate insights and track performance metrics. • Model Maintenance: Monitor, evaluate, and refine deployed models to ensure sustained performance and adapt to changing business needs. Requirements • Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related discipline (or equivalent experience) • Experience: 3+ years in a data engineering, machine learning, or data science role • Skills: • Advanced knowledge of Python and SQL • Experience with data visualization tools such as Tableau or Power BI • Hands-on experience with ETL/ELT pipeline development • Familiarity with ML frameworks like scikit-learn, pandas, NumPy • Excellent problem-solving skills and ability to communicate technical concepts to non-technical stakeholders • Other: Must be comfortable working remotely and available during Eastern Time business hours Preferred Qualifications • Master’s degree in a relevant field • Experience working with cloud-based data platforms (GCP, AWS, Azure) • Exposure to MLOps practices including CI/CD pipelines and containerization (Docker, Kubernetes) • Previous experience in financial services or highly regulated environments Benefits • Competitive Salary: Market-aligned compensation during contract period; potential full-time offer upon successful completion • Health and Wellness: Access to comprehensive benefits package upon conversion • Work-Life Balance: 100% remote work, flexible hours, and supportive culture • Professional Development: Opportunity to work with a high-performing analytics team with access to modern technologies and ongoing learning resources • Additional Perks: Inclusive work environment, long-term career potential, and involvement in high-impact projects

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