$150K - 220K a year
Design, develop, and deploy AI-driven solutions that deliver real business value.
12-15 years of ML/AI production experience, 5+ years Python with ML frameworks, cloud platform and MLOps experience, strong problem-solving and communication skills.
We are looking for a highly skilled Machine Learning / AI Engineer to design, develop, and deploy AI-driven solutions that deliver real business value. Requirements: • Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field. • 12 - 15 years of experience in developing and deploying ML/AI models in production. • 5+ years of hands-on programming experience in Python with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). • 5+ years of experience in machine learning algorithms, data structures, and statistical modeling. • 3+ years of experience with cloud platforms (AWS, Google Cloud Platform, Azure) and MLOps tools (e.g., SageMaker, Vertex AI, Azure ML). • 2+ years of exposure to data engineering tools (e.g., Apache Spark, Airflow, Kafka) preferred but not mandatory. • Strong problem-solving, analytical, and communication skills. Preferred Qualifications: • PhD in Computer Science, Machine Learning, AI, or a related field. • Experience with deep learning, reinforcement learning, or generative AI (LLMs, GANs). • Contributions to open-source AI/ML projects or academic research. • Experience with real-time inference systems or edge deployment. • Prior experience in healthcare applications or health plan data architectures is a strong plus.
This job posting was last updated on 9/9/2025