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Tier-1 brand, fully remote, mid-level ML generalist in a metro with broad required skills increases competition.
Core ML/LLM and software engineering skills are broadly transferable across industries.
Mandatory ML/LLM, cloud and Python stack creates moderate strictness in screening.
Design, develop, optimize, and maintain AI models and algorithms to solve business problems using AI/ML technologies including Generative AI.
Collaborate with cross-functional teams to deliver scalable, data-driven AI solutions ensuring data quality and integrity throughout development.
Monitor, alert, and troubleshoot AI systems; build and deploy AI solutions including training and performance monitoring.
2+ years hands-on experience with Python programming and SQL.
Experience with Large Language Models (LLMs) and orchestration models like LangGraph; knowledge of LLM architectural patterns and evaluation techniques.
Bachelor's or Master's degree in computer science, engineering, information systems or related numerate degree.
Experience with Python libraries (numpy, pandas, pyspark, TensorFlow, PyTorch, scikit-learn) and cloud platforms such as AWS, Azure or Google Cloud.
Has practical experience building, training, deploying, and monitoring AI/ML models in production environments.
Strong software engineering and data pipeline skills with a focus on scalability and performance optimization.
Experience working remotely and collaborating with cross-functional teams in a technology-driven, cloud-based environment.