<p>Job Summary</p><p>We are seeking a <strong>Machine Learning Engineer</strong> to design, build, validate, and deploy machine learning solutions that support products and applications in a production environment. This role focuses on the full ML lifecycle—from data pipelines and model training to validation, deployment, monitoring, and documentation—working closely with cross‑functional teams to deliver scalable, reliable solutions.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, implement, refine, and validate machine learning algorithms for products and applications</li><li>Design and develop robust data pipelines, including data ingestion, validation, cleaning, and monitoring</li><li>Train machine learning models; validate model accuracy and performance prior to deployment</li><li>Deploy validated machine learning models into production environments and support ongoing monitoring</li><li>Design proof‑of‑concept (POC) solutions and contribute to studies supporting future product or application development</li><li>Test and evaluate machine learning solutions; complete case studies, testing, and reporting</li><li>Research, write, and maintain technical documentation, including:</li><li>Evaluation plans</li><li>Confluence pages</li><li>White papers and presentations</li><li>Test results, technical manuals, and formal recommendations</li><li>Collaborate with teams outside the immediate work group and represent the team when addressing technical issues related to assigned projects</li></ul><p><br></p>
<p>100,000 - 120,000</p><p><br></p><p>Benefits:</p><ul><li>Medical, Dental, Vision</li><li>Competitive Salary, Annual Bonuses, 401(k) with Company Match, and Business Travel Reimbursement</li><li>Flexible work environment</li><li>Tuition Reimbursement</li><li>PTA</li><li>Casual Fridays</li><li>In house technical training</li></ul><p><br></p><p><br></p><p>Responsibilities:</p><p>• Conduct in‑depth financial analysis, including reviewing financial statements, performing scenario modeling, and identifying key trends.</p><p>• Build and maintain sophisticated financial models to support strategic initiatives and resource planning.</p><p>• Develop dashboards and standardized reporting tools using Excel, Power BI, and other analytics platforms to produce clear, actionable insights.</p><p>• Track and evaluate key performance indicators (KPIs) and operational drivers to highlight opportunities for improvement.</p><p>• Assist in the budgeting process by collaborating with department leaders to align spending with organizational priorities.</p><p>• Prepare monthly management discussion & analysis (MD& A) reports for senior leadership and relevant stakeholders.</p><p>• Work across departments to ensure financial data is consistent, accurate, and aligned with reporting standards.</p><p>• Support the preparation of financial presentations and reports for board meetings and other executive forums.</p><p>• Contribute to long‑range planning by creating dynamic models and evaluating various growth scenarios.</p><p>• Identify opportunities to enhance reporting processes and design new tools that improve data visibility and analytical efficiency.</p>
<p><strong>Primary Responsibilities</strong></p><ul><li>Provide leadership and mentorship to software engineering team members, fostering a collaborative environment committed to production excellence and continuous product improvement.</li><li>Evaluate programming and application development requests, applying technical expertise to determine feasibility and identify opportunities to enhance existing systems and capabilities.</li><li>Lead the planning, development, documentation, testing, and deployment of business-critical applications and enhancements.</li><li>Collaborate with business stakeholders to clarify operational procedures and program objectives.</li><li>Utilize structured analysis and design techniques to create application specifications, including flowcharts and diagrams documenting logical operations.</li><li>Share application and domain knowledge with other teams, supporting cross-functional understanding between application and infrastructure groups.</li><li>Provide production support, including monitoring and issue resolution as needed.</li><li>Oversee integrations between internal systems and external platforms, including marketing technology, CRM solutions, and third-party SaaS providers.</li><li>Migrate legacy middleware workflows to secure, modern cloud-based architectures.</li><li>Build and maintain cloud resources using AWS services (such as EC2, S3, Lambda, RDS, VPC, IAM, CloudFormation/CDK).</li><li>Implement CI/CD pipelines for automated build, test, and deployment using industry-standard tools (e.g., GitHub Actions).</li><li>Contribute to front-end feature development utilizing modern JavaScript frameworks (such as React).</li></ul><p><strong>Additional Responsibilities</strong></p><ul><li>Modify code to correct errors and enhance functionality.</li><li>Analyze programs to improve operational efficiency or adapt to evolving business needs.</li><li>Create and maintain comprehensive documentation detailing application logic, development processes, and modifications.</li><li>Perform business analysis and assist in facilitating user training.</li></ul><p><br></p><p><br></p>