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

Akina • Annapolis Junction, MD

6d • Onsite

About The Position

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.

Requirements

• Standard AIML2 labor category requirements.
• Expert knowledge of multiple programming languages, e.g. Python, Java, C, R.
• Experience with standard machine learning frameworks, e.g. PyTorch, TensorFlow.
• Experience working with various ML libraries and packages.
• Exceptional analytical, problem-solving, and communication skills.
• Familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance.
• 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.
• 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.

Nice To Haves

• Development experience is highly desired.

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.
• Designs and creates scalable solutions through training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback.
• 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.
• Transform and convert data science prototypes into scalable solutions.
• Verify data and model output quality.
• Identify differences in data distribution that affect model performance.
• Designs and creates scalable solutions for optimal performance.

Benefits

• 24 days PTO accrued annually
• 11 federal holidays
• 401k is 100% vested on your start date and the company makes a direct contribution worth 10% of your salary.
• Akina covers 100% of healthcare costs for employees and 50% toward dependents.
• Educational assistance towards college classes
• Costs associated with job related training and certifications

What This Job Offers

• Job Type: Full-time
• Career Level: Senior