Artificial Intelligence/Machine Learning (AI/ML) Engineer

Job Description
Base-2 Solutions is seeking an AI/ML Engineer who designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models created should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. Responsible for building, training, fine-tuning, and evaluation advanced language models. The ideal candidate will have hands-on experience with state-of-the-art machine learning techniques, specifically for natural language processing (NLP), and will also have a strong understanding of full-stack development.

Required Skills

• Select appropriate data sets.
• Perform statistical analysis.
• Run machine learning algorithms.
• Use results to improve models.
• Train and retrain systems when needed.
• Experience in working with various ML libraries and packages.
• 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.

Qualifications

• Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
• A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.
  • Five (5) additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
• Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.