Artificial Intelligence/Machine Learning 2 - (Python, TensorFlow, PyTorch)

Akina, Inc. is seeking an Artificial Intelligence/Machine Learning professional to design, develop, test, and productize AI/ML algorithms that address customer business challenges. The role focuses on creating and improving scalable machine learning models, managing data and model quality, overseeing system integration and evaluation, and potentially leading geographically diverse teams.

Responsibilities:

• Designs, creates, tests, and productizes AI/ML algorithms to solve business challenges
• Creates AI/ML models capable of learning and making predictions as defined by business logic developed to meet customer requirements
• Is proficient in model architecture, data pipeline interaction, and metrics application, interpretation, and presentation
• Needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance
• Designs and creates scalable solutions through training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback
• May be responsible for leading geographically diverse teams and serving as a primary POC for AI-related matters
• Select appropriate data sets
• Perform statistical analysis
• Run machine learning algorithms
• Use results to improve models
• Train and retrain systems when needed
• Run standard test and evaluation protocols
• Provide system integration oversight
• Oversee test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements
• Research and implement a broad range of AI and ML algorithms and tools
• Design or select appropriate data and knowledge representation methods
• Recognize software architecture, data modelling, and data structures
• Transform and convert data science prototypes into scalable solutions
• Verify data and model output quality
• Identify differences in data distribution that affect model performance
• Creates AI/ML models capable of learning and making predictions as defined by the business logic developed to meet customer requirements
• Is proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation
• Understands training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback
• Designs and creates scalable solutions for optimal performance
• May be responsible for leading geographically diverse teams
• Will often serve as a primary POC for AI-related matters
• Experience in working with various ML libraries and packages