ML Infrastructure Architect

HYBRID Charlotte , NC Face to Face Interview The focus for this role is very heavy Machine Learning and AI focused. Candidates MUST have hands on Software Developer experience on Python and AI/ML platforms (not just Proof of Concept work). Please review the Responsibilities below, and make sure your candidates have similar experience. Below are the MUST have Non-Negotiable Required Skills:

• Natural Language Processing (NLP)
• Large Language Model (LLM)
• Machine Learning
• GenAI
• Python
• PyTorch
• TensorFlow

Additional Skills:

• NoSQL Databases
• Kafka

Day to Day Responsibilities

• Design and conduct experiments to test hypotheses and validate model assumptions
• Analyze experimental results and provide recommendations for further optimization.
• Implement clustering, classification, regression, and other machine learning algorithms as needed.
• Apply data mining techniques to extract actionable insights from structured and unstructured data.
• Identify patterns and anomalies in data to detect fraud, predict customer behavior, or optimize business processes.
• Develop and deploy predictive models using machine learning algorithms.
• Perform feature engineering, model selection, and hyperparameter tuning to optimize model performance.
• Evaluate model accuracy, precision, recall, and other performance metrics
• Collaborate with cross-functional teams, including engineers, product managers, and business stakeholders

For applications and inquiries, contact: hirings@openkyber.com