Senior Machine Learning Engineer

Must Haves:

• 4+ years of hands-on experience in Machine Learning and Data Science, specializing in classification, clustering, time series analysis, encoder based transformer models, explainability and optimization
• Advanced familiarity with SQL and spark/pyspark
• 2+ years experience and knowledge in MLOps, in deploying, operationalizing, and maintaining and monitoring scalable AI/ML-solutions in production
• Advanced proficiency in Python and machine learning frameworks (e.g., PyTorch, TensorFlow, MLFlow, etc.) and libraries commonly used in NLP and Generative AI
• Advanced proficiency in data cleaning and data transformation
• Proven ability to debug, analyze, and profile existing code
• Excellent collaboration and communication skills
• Strong analytical and problem-solving abilities

Pluses:

• Experience with infrastructure design and deployment utilizing Az...