ML Ops Associate Director (Namer)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an ML Ops Associate Director in North America.This role offers a strategic and hands-on leadership opportunity in the design, deployment, and operational management of machine learning systems. You will oversee end-to-end ML workflows, ensuring production models run reliably while driving automation initiatives that improve efficiency across the organization. The position involves collaborating with analytics, sales, and operations teams to identify areas where ML can deliver measurable business impact. You will also lead and mentor junior data scientists, interns, and cross-functional teams, sharing best practices for model development, deployment, and maintenance. This role provides exposure to cutting-edge technologies in containers, CI/CD pipelines, and cloud-based ML environments, all within a collaborative and results-driven setting.AccountabilitiesDesign, implement, and maintain production-ready machine learning models to support business operationsDevelop automation tools and pipelines to streamline workflows and reduce manual interventionCollaborate with leadership and cross-functional teams to refine analytical objectives and translate them into actionable ML solutionsSupport front-end applications, dashboards, and reporting tools that convert data into business insightsEnsure seamless operation of ML systems in production, including monitoring, troubleshooting, and performance optimizationIdentify strategic areas for automation to maximize operational efficiencyTrain, supervise, and mentor junior data scientists and interns on project-based initiativesRequirementsMaster's degree in Computer Science, Engineering, or a related quantitative field (or foreign equivalent)Minimum 4 years of experience with: containerization, CI/CD tools, Git, and designing/deploying end-to-end ML workflowsStrong programming skills in Python or R, with fluency in SQLDemonstrated ability to create measurable business impact using statistical modeling and machine learning techniquesSolid understanding of mathematical foundations behind ML algorithmsExperience with shell scripting, debugging tools, containerized environments, and Linux systemsStrong leadership, mentorship, and cross-functional collaboration skillsBenefitsCompetitive salary: $160,000 per year, with eligibility for annual bonus or profit awardComprehensive healthcare: medical, prescription, dental, and vision coverageFinancial wellness benefits: 401(k) with pre-tax and Roth options, student loan repayment, and educational assistanceLife and disability insurance: short- and long-term coverage, AD&D insuranceFlexible spending accounts (healthcare and dependent care) and health savings account (HSA)Paid time off and generous vacation policyCommuter benefits and other employee perksJobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.📊 It compares your profile to the job's core requirements and past success factors to determine your match score.🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company managing the position. The final decision and next steps (interviews or additional assessments) are then made by their internal hiring team.Thank you for your interest!