Machine Learning Engineer

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Machine Learning Engineer Location: Phoenix, AZ (Onsite) Required Skills Machine Learning, Python, SQL, APIs, NLP, NoSQL, Spark / PySpark, CI/CD Job Description We are looking for a strong Machine Learning Engineer with hands‑on experience in developing, deploying, and optimizing ML models in enterprise environments. The ideal candidate should have expertise in Classical Machine Learning, NLP, Python development, and scalable data processing systems. Required Qualifications Bachelor's or higher degree in Data Science, Computer Science, Engineering, Information Systems, or related field Hands‑on experience building and deploying Machine Learning models including Classical ML and NLP solutions Strong understanding of ML algorithms, frameworks, libraries, and software architecture Advanced Python programming experience; Java knowledge is a plus Experience integrating ML models into existing applications in both batch and real-time environments Strong SQL skills with experience writing complex queries and optimizing data pipelines Experience with NoSQL databases is a plus Familiarity with Big Data technologies such as Spark, PySpark, Hive, MapReduce Working knowledge of UNIX/Linux commands Experience using GitHub and CI/CD pipelines Strong analytical, problem‑solving, and communication skills Experience with AI/ML governance in regulated industries is a plus Preferred Experience NLP model development Enterprise‑scale ML deployments Real-time inference/API integrations Financial services or highly regulated industry background #J-18808-Ljbffr