Enterprise - Senior AI​/ML Engineer - Python, TensorFlow, Java

Description

The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation.

They must have foundational knowledge of application development, infrastructure management, data engineering, and data governance, and be able to train, deploy, schedule, monitor, and continuously improve models through iterative user and system feedback. The engineer may lead geographically diverse teams and act as a primary point of contact for AI-related matters, requiring exceptional analytical, problem‑solving, and communication skills. Expert knowledge of multiple programming languages such as Python, Java, C, and R is a plus.

• Select appropriate data sets.
• Perform statistical analysis.
• Run machine learning algorithms.
• Use results to improve models.
• Train and retrain systems when needed.
• Work 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.

Clearance: A current Top‑Secret/SCI with polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.

Experience:

A Master’s or Ph.D. degree in advanced math, artificial intelligence, data science, computer science, or deep learning from an accredited institution. Five (5) additional years of machine‑learning experience with a relevant Bachelor’s degree may be substituted for a Master’s degree.

• Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity.
• Experience with standard machine‑learning frameworks such as PyTorch and Tensor Flow.

We provide a comprehensive benefits package, including:

• Wealth Benefits:
  • Above Market Hourly Pay
  • 11 % Roth or Traditional 401k with Immediate Vesting and Deposit
  • Spot Bonuses for Assisting with Business Development and Company Growth
  • Professional Development Bonuses for Certificates and Degrees
• Health Benefits:
  • Company‑subsidized medical coverage
  • 100 % company‑paid vision and dental coverage
  • 100 % company‑paid long‑term and short‑term disability, and group life insurance
  • Monthly wellness reimbursement
• Happiness Benefits:
  • Paid time off with flexible work schedules and birthday off
  • Amazon Prime membership and monthly internet reimbursement
  • Technology and productivity allowance for equipment and supplies
  • Morale‑building and company events to celebrate our successes and build our community
  • Onboarding and annual swag
  • Company‑paid professional development and training

At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. As an equal‑opportunity employer, we ensure that all qualified applicants are considered for employment based on merit, without discrimination. We welcome individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.