AI/Machine Learning Engineer

AI / Machine Learning EngineerLocation: Phoenix, AZ / HybridEmployment Type: Full-TimeSalary Range: $130,000 $200,000/year (DOE)Department: Technology / Data ScienceAbout the RoleWere seeking an innovative and highly skilled AI/Machine Learning Engineer to design, build, and optimize machine learning models that power intelligent solutions across our digital products. Youll work closely with data scientists, product managers, and engineering teams to turn data into actionable insights and automation that drive business growth.Key ResponsibilitiesDevelop, test, and deploy machine learning models and AI algorithms to solve real-world problems.Collaborate with cross-functional teams to integrate ML solutions into production systems.Analyze large, complex datasets and develop data pipelines to support model training and evaluation.Research and stay current with the latest advancements in AI, deep learning, and model optimization.Continuously monitor and improve model performance and scalability.Document workflows, model architectures, and results to support reproducibility and future development.Required QualificationsBachelors or Masters degree in Computer Science, Data Science, Engineering, or related field (Ph.D. a plus).3+ years of experience in machine learning, artificial intelligence, or data science roles.Proficient in Python and ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).Strong understanding of deep learning, NLP, computer vision, or reinforcement learning.Experience with cloud computing platforms (AWS, Azure, or GCP).Familiarity with containerization (Docker/Kubernetes) and CI/CD pipelines.Preferred QualificationsExperience with MLOps and model deployment tools.Knowledge of big data tools (Spark, Hadoop).Exposure to responsible AI and model interpretability frameworks.Proven ability to work in fast-paced agile environments.What We OfferCompetitive salary and bonus potentialFlexible work arrangements (remote/hybrid)Health, dental, and vision insurance401(k) with employer matchPaid time off and holidaysCareer growth opportunities and ongoing trainingApply TodayIf youre passionate about using AI to create transformative technologies and want to be part of an innovative and forward-thinking team, we want to hear from you.[Apply Now] or contact us at careers@[yourcompany].com AI / Machine Learning EngineerLocation: Phoenix, AZ / HybridEmployment Type: Full-TimeSalary Range: $130,000 $200,000/year (DOE)Department: Technology / Data ScienceAbout the RoleWere seeking an innovative and highly skilled AI/Machine Learning Engineer to design, build, and optimize machine learning models that power intelligent solutions across our digital products. Youll work closely with data scientists, product managers, and engineering teams to turn data into actionable insights and automation that drive business growth.Key ResponsibilitiesDevelop, test, and deploy machine learning models and AI algorithms to solve real-world problems.Collaborate with cross-functional teams to integrate ML solutions into production systems.Analyze large, complex datasets and develop data pipelines to support model training and evaluation.Research and stay current with the latest advancements in AI, deep learning, and model optimization.Continuously monitor and improve model performance and scalability.Document workflows, model architectures, and results to support reproducibility and future development.Required QualificationsBachelors or Masters degree in Computer Science, Data Science, Engineering, or related field (Ph.D. a plus).3+ years of experience in machine learning, artificial intelligence, or data science roles.Proficient in Python and ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).Strong understanding of deep learning, NLP, computer vision, or reinforcement learning.Experience with cloud computing platforms (AWS, Azure, or GCP).Familiarity with containerization (Docker/Kubernetes) and CI/CD pipelines.Preferred QualificationsExperience with MLOps and model deployment tools.Knowledge of big data tools (Spark, Hadoop).Exposure to responsible AI and model interpretability frameworks.Proven ability to work in fast-paced agile environments.What We OfferCompetitive salary and bonus potentialFlexible work arrangements (remote/hybrid)Health, dental, and vision insurance401(k) with employer matchPaid time off and holidaysCareer growth opportunities and ongoing trainingApply TodayIf youre passionate about using AI to create transformative technologies and want to be part of an innovative and forward-thinking team, we want to hear from you.[Apply Now] or contact us at careers@[yourcompany].com AI / Machine Learning EngineerLocation: Phoenix, AZ / HybridEmployment Type: Full-TimeSalary Range: $130,000 $200,000/year (DOE)Department: Technology / Data ScienceAbout the RoleWere seeking an innovative and highly skilled AI/Machine Learning Engineer to design, build, and optimize machine learning models that power intelligent solutions across our digital products. Youll work closely with data scientists, product managers, and engineering teams to turn data into actionable insights and automation that drive business growth.Key ResponsibilitiesDevelop, test, and deploy machine learning models and AI algorithms to solve real-world problems.Collaborate with cross-functional teams to integrate ML solutions into production systems.Analyze large, complex datasets and develop data pipelines to support model training and evaluation.Research and stay current with the latest advancements in AI, deep learning, and model optimization.Continuously monitor and improve model performance and scalability.Document workflows, model architectures, and results to support reproducibility and future development.Required QualificationsBachelors or Masters degree in Computer Science, Data Science, Engineering, or related field (Ph.D. a plus).3+ years of experience in machine learning, artificial intelligence, or data science roles.Proficient in Python and ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).Strong understanding of deep learning, NLP, computer vision, or reinforcement learning.Experience with cloud computing platforms (AWS, Azure, or GCP).Familiarity with containerization (Docker/Kubernetes) and CI/CD pipelines.Preferred QualificationsExperience with MLOps and model deployment tools.Knowledge of big data tools (Spark, Hadoop).Exposure to responsible AI and model interpretability frameworks.Proven ability to work in fast-paced agile environments.What We OfferCompetitive salary and bonus potentialFlexible work arrangements (remote/hybrid)Health, dental, and vision insurance401(k) with employer matchPaid time off and holidaysCareer growth opportunities and ongoing trainingApply TodayIf youre passionate about using AI to create transformative technologies and want to be part of an innovative and forward-thinking team, we want to hear from you.[Apply Now] or contact us at careers@[yourcompany].com

• Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field (Ph.D. a plus).
• 3+ years of experience in machine learning, artificial intelligence, or data science roles.
• Proficient in Python and ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
• Strong understanding of deep learning, NLP, computer vision, or reinforcement learning.
• Experience with cloud computing platforms (AWS, Azure, or GCP).
• Familiarity with containerization (Docker/Kubernetes) and CI/CD pipelines., + Experience with MLOps and model deployment tools.
• Knowledge of big data tools (Spark, Hadoop).
• Exposure to responsible AI and model interpretability frameworks.
• Proven ability to work in fast-paced agile environments.

• Competitive salary and bonus potential
• Flexible work arrangements (remote/hybrid)
• Health, dental, and vision insurance
• 401(k) with employer match
• Paid time off and holidays
• Career growth opportunities and ongoing training Apply Today If youre passionate about using AI to create transformative technologies and want to be part of an innovative and forward-thinking team, we want to hear from you.