AI/ML Engineer

We are looking for a talented AI/ML Engineer to develop and deploy machine learning models that drive business value for our clients. You will work on cutting-edge AI projects across various industries.

Remote / Austin, TXFull-time4+ years$130,000 - $170,000DepartmentAI & Data ScienceTeamAI & Data ScienceReports ToHead of AIPosted3 days agoKey ResponsibilitiesDesign and develop machine learning models and algorithmsImplement MLOps pipelines for model deployment and monitoringWork with large datasets to extract insights and patternsCollaborate with data scientists on research and developmentOptimize model performance and scalabilityIntegrate AI/ML solutions into existing systemsStay current with latest AI/ML technologies and frameworksPresent findings and recommendations to stakeholdersRequirements4+ years of experience in machine learning engineeringStrong programming skills in Python, R, or ScalaExperience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)Knowledge of cloud ML services (AWS SageMaker, Azure ML, GCP AI)Experience with data processing tools (Spark, Pandas, NumPy)Understanding of MLOps and model deployment practicesStrong mathematical and statistical backgroundAdvanced degree in Computer Science, Statistics, or related fieldHighly competitive salary and equityPremium health, dental, and vision coverageFully remote work optionLearning and development stipend ($3,000/year)Conference and training opportunitiesFlexible PTO and sabbatical optionsTop-tier equipment and toolsInnovation time (20% for personal projects)Company CultureAt TechHorizonZ, we believe in fostering innovation, collaboration, and continuous learning.

• Collaborative and inclusive environment• Innovation and continuous learning• Work-life balance priority• Diverse and talented teamApplication ProcessSubmit your resume and cover letter2. Phone ScreeningBrief call with our talent team3. Technical InterviewTechnical assessment and discussion4. Final InterviewMeet with the hiring manager5. Take the next step in your career and become part of a team that's shaping the future of technology. #J-18808-Ljbffr. 000000.