Machine Learning Engineer

Why do you need to choose between doing important work and having a fulfilling life? At Ardent, we have both. Ardent employees are committed to solving our customers’ most difficult problems—and we are committed to the well-being, personal goals, and professional development of our employee. We are “All In.” We put forth our strongest effort possible to get the mission accomplished and we do it together. We respect the skills and experience you bring to the Ardent team. And we provide a rewarding environment to help you succeed. 

We offer highly competitive benefits, professional development opportunities, and an exceptional culture that embraces flexibility, innovation, collaboration, and career growth. A collective service mindset underpins our work, and a shared camaraderie to serve clients, colleagues and our communities set us apart. Our full commitment to being "All In" for our employees and our clients is not just our approach, it is our standard. If this sounds like the perfect fit for you, choose Ardent and make a difference with us. 

Ardent is seeking a Machine Learning Engineer to join our team.  

The position is primarily remote, with occasional travel to the Virginia office. Travel is estimated to be no more than 5% of the time.

Position Description:

Ardent is seeking a Machine Learning Engineer will work in our TRI Labs Technology Research and Innovation Lab focusing on technology-related infrastructure, software engineering, research, and innovation using machine learning and artificial intelligence. The engineer will contribute to the development and deployment of machine learning models. The ideal candidate will have a strong background in machine learning algorithms, data analysis, and software development.

Responsibilities and Duties:

• Develop machine learning models and algorithms to address business challenges and enhance product functionality.
• Collaborate with cross-functional teams including data scientists, software engineers, and product managers to design and implement machine learning solutions.
• Conduct exploratory data analysis, feature engineering, and model evaluation to extract insights and optimize model performance.
• Implement scalable and efficient machine learning pipelines for processing large volumes of data.
• Stay updated on the latest developments and trends in machine learning and contribute to the continuous improvement of our machine learning infrastructure.
• Communicate technical concepts and findings to non-technical stakeholders and contribute to technical documentation.

Requirements: 

• Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• Minimum of 3 years of professional experience in machine learning engineering or a related role.
• Experience with machine learning frameworks and libraries such as TensorFlow, Jupyter Notebook, PyTorch, scikit-learn, or Keras.
• Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Proficiency in programming languages such as Python, Java, .NET, or Scala.
• Solid knowledge of data processing tools and techniques, and other big data technologies.
• Excellent problem-solving skills and ability to work independently or in a team environment.
• Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams. 

Preferred Qualifications:

• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
• Knowledge of software engineering best practices, including version control, continuous integration, and deployment.
• Experience with distributed computing and parallel processing frameworks.
• Familiarity with natural language processing (NLP), computer vision, or other specialized areas of machine learning.
• Contributions to open-source projects or participation in machine learning communities.

Due to the nature of the work we support, all candidates in consideration for this role must be U.S. Citizens willing to undergo the government issued background investigation process.

Ardent is an equal opportunity employer. We will not discriminate and will take affirmative action measures to ensure against discrimination in employment, recruitment, advertisements for employment, compensation, termination, upgrading, promotions, and other conditions of employment against any employee or job applicant on the bases of race, color, gender, national origin, age, religion, creed, disability, veteran's status, sexual orientation, gender identity or gender expression.