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AI​/Machine Learning Engineer

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: Bee On The Job
Full Time position
Listed on 2026-01-07
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

About the job AI/Machine Learning Engineer AI / Machine Learning Engineer

Location: Phoenix, AZ / Hybrid
Employment Type: Full-Time
Salary Range: $130,000 $ 200,000/year (DOE)
Department: Technology / Data Science

About the Role

We’re 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. You’ll work closely with data scientists, product managers, and engineering teams to turn data into actionable insights and automation that drive business growth.

Key Responsibilities
  • Develop, 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 Qualifications
  • 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 (Tensor Flow, 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 Qualifications
  • 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.
What We Offer
  • 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 you’re 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@[your company].com

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