AI/ML Expert

Evlos Technology LLC; Corridor North (MD); On-site; USD 110,000 - 180,000; Full time

Job summary

Evlos Technology LLC in Maryland is seeking an AI/ML Engineer to design, test, and productize AI/ML algorithms that solve business challenges. The models should learn and make predictions as defined by business logic and customer requirements, with a focus on scalability and reliability.

You will build data pipelines, apply statistical analysis, evaluate models, and monitor performance across iterations. Proficiency in Python and ML libraries; experience with TensorFlow or PyTorch is required;

Qualifications

• Experience in statistical analysis and ML model development.
• Ability to design, implement, and validate AI/ML algorithms.
• Proficiency in Python and ML frameworks is required.

Responsibilities

• Design, test, and productize AI/ML models for business challenges.
• Build and oversee data pipelines and data representations.
• Lead model evaluation, deployment, and monitoring across iterations.
• Coordinate with geographically diverse teams and act as AI subject matter expert.

Skills

Statistical analysis

ML algorithms

Python

Java

C

R

ML libraries

Data pipelines

Model deployment

Data engineering

Data governance

Communication

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Thisposition requires in-scope poly, within 7 years.

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

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.