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

Erias Ventures; Maryland; On-site; USD 215,000 - 238,000; Full time

Benefits offered by this job

Wealth Benefits

Health Benefits

Professional Development

Job summary

Erias Ventures is seeking an AI/ML Engineer to design, test, and productize AI/ML solutions that address complex business challenges. The role requires leading data pipelines, training and deployment, and cross-functional collaboration. Applicants should hold a Master’s or Ph.D.

and possess a current Top-Secret/SCI clearance. Five years of ML experience with PyTorch/TensorFlow is expected, along with strong communication and problem-solving skills.

Qualifications

• Master's or Ph.D. in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.
• Five years of ML experience in programs of similar scope, type and complexity.
• Experience with ML frameworks such as PyTorch and TensorFlow.

Responsibilities

• Design, create, test, and productize AI/ML algorithms to solve business challenges.
• Lead data pipelines, training, retraining, deployment, scheduling, monitoring and improvement of models.
• Provide system integration oversight and validate model outputs against requirements.

Skills

Applied ML

PyTorch

TensorFlow

Education

Master's or PhD in AI/DS/CS

Tools

PyTorch

TensorFlow

Job description

Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem-solving, open communication, and empowering our employees to make decisions and put forth new ideas.

Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of a technically strong and growth-oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers.

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. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus.

• 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

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 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.

Required Skills

• Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity
• Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow

Desired Skills

• Expert knowledge of multiple programming languages, e.g. Python, Java, C, R

Benefits

Erias Ventures provides a complete package of wealth, health, and happiness benefits. The expected salary range for this position, depending on education and years of experience is $215,000 - $238,000.

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 Disability, 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.