AI/ML Developer - Python

Machine Learning Engineer / AI Developer

Responsibilities:

• Design machine learning systems
• Research and implement machine learning algorithms and tools
• Manage and direct research and development processes to meet the needs of our AI strategy
• Develop machine learning applications in alignment with project requirements and business goals
• Perform machine learning tests and statistical analysis in order to fine-tune the machine learning systems
• Select appropriate datasets and data representation methods
• Extend existing machine learning libraries and frameworks
• Train systems and retrain as necessary
• Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions
• Advise leaders on technology, strategy, and policy issues related to AI/ML
• Coordinating with development teams to determine application requirements
• Writing scalable code using Python programming language
• Testing and debugging applications
• Developing back-end components
• Integrating user-facing elements using server-side logic
• Assessing and prioritizing client feature requests
• Integrating data storage solutions
• Coordinating with front-end developers
• Reprogramming existing databases to improve functionality
• Developing digital tools to monitor online traffic
• Work with the Data Scientists and Data Engineers to create production quality Machine Learning pipelines and solutions with an emphasis on Performance, Scalability, Reliability, and Maintainability
• Build components and libraries that will improve existing solutions and improve the delivery of new ones

Required Skills and Experience:

• 3+ years of experience applying AI to practical uses
• Experience with deep learning, NLP, and TensorFlow
• Experience writing robust code in Python, Java, and/or R
• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
• Knowledge of basic algorithms and object-oriented and functional design principles
• Knowledge of data structures, data modeling, and software architecture
• Knowledge of math, probability, statistics, and algorithms
• Knowledge of machine learning frameworks
• Knowledge of machine learning libraries such as scikit-learn
• Excellent communication skills
• Strong analytical and problem solving skills

Preferred Qualifications:

• Bachelor's degree in a relevant technology field
• Experience with cloud environments