Base-2 Solutions ยท 2 weeks ago
Artificial Intelligence/Machine Learning (AI/ML) Engineer
Base-2 Solutions is seeking an AI/ML Engineer who designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The role involves creating AI/ML models, leading diverse teams, and ensuring the performance of scalable solutions.
Big DataCloud ComputingSoftware EngineeringTechnical Support
Responsibilities
Designs, creates, tests, and productizes AI/ML algorithms to solve business challenges
Create AI/ML models capable of learning and making predictions as defined by the business logic
Proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation
Designs and creates scalable solutions for optimal performance
Leading geographically diverse teams
Serve as a primary POC for AI-related matters
Experience with standard machine language frameworks
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
Qualification
Required
Top Secret/SCI with Full Scope Polygraph
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
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
Preferred
Expert knowledge with multiple programming languages, including: Python, Java, R
Benefits
Above market fixed salary or hourly pay.
Up to $10,000 bonus for each referral.
Additional bonuses for exceptional performance, assisting with business development and company growth.
100% paid premiums for health insurance. Choose from over 5 gold-level medical plans from CareFirst, Kaiser and UnitedHealthcare. Choose from PPO, POS. HMO, and HSA-compatible.
HSA and FSA options.
100% paid premiums for dental insurance.
100% paid premiums for vision insurance.
100% paid premiums for short-term disability.
100% paid premiums for long-term disability.
100% paid premiums for accidental death & dismemberment.
100% paid premiums for life insurance with a $200,000 max benefit.
8% company contribution to 401k with immediate vesting.
401k pre-tax and Roth options.
Up to 20 days of flexible paid time off (PTO).
11 days of paid floating holidays.
Flexible work schedules including flex time and compressed work period.
Remote work including partial or fully remote (contract and project-dependent).