Machine Learning Engineer

Are you ready to apply machine learning techniques and algorithms to models and systems? Ardent Principles is searching for a full-time Machine Learning Engineer to join our dynamic team onsite in Herndon, VA.

If you're passionate about designing and implementing machine learning solutions to solve complex problems; thrive on collaboration; and are ready to make a significant impact, this is the opportunity you've been waiting for. With a competitive salary range of $130,000 to $260,000 annually, dependent on level of skills and experience, and industry-leading benefits, Ardent Principles offers more than just a job - we offer a career path filled with growth and opportunities. Join us and let's shape the future together!

Who We Are:


Passionate Integrity, Driven by Excellence
"Ardent Principles" signifies our unwavering commitment to excellence, driven by a profound passion and a strict adherence to ethical values. We believe that happy employees make for happy clients. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients.

Key Responsibilities

In this challenging yet rewarding role as a Machine Learning Engineer, you are an integral part of what brings our company's mission to life. You are primarily responsible for and/ or have demonstrated experience in, with or using:

• Cybersecurity, IT systems, and A&A processes.
• Facilitation across multi-contractor and staff teams, collaborating with project teams or multiple entities to
  define project requirements and acceptance criteria.
• Monitoring project progress, identifying roadblocks,
  and implementing mitigation strategies.
• Designing, building, and maintaining data pipelines for data ingestion, processing, and transformation.
• Collaborating with data scientists and analysts to ensure data quality and accessibility.
• Building and implementing data governance policies and
  procedures for data integrity and security.
• Design, implementation, and management of secure and scalable cloud infrastructure solutions.
• Implementation and management of infrastructure-as-code
  solutions and collaboration with development teams.
• Implementation of CI/CD pipelines and automation of
  infrastructure provisioning, application deployment, and
  system monitoring.
• Envisioning and delivering solutions to business problems leveraging machine learning techniques, to include: model training and development; full lifecycle model management.
• Technical architecture expertise, including systems
  integration and technical leadership.
• Proficiency in complex multi-network and security enclave
  environments.

Highly Desired Qualifications

Other skills and demonstrated experiences that are highly desired but not mandatory to perform the work, include working with; using; familiarity with:

• Championing SecDevOps best practices for collaboration, efficiency, and quality.
• Deploying and managing solutions utilizing retrieval
  augmented generation techniques.
• Big data processing and analysis tools such as Splunk, SOAR, NiFi, or Cribl.
• Data visualization and data lake house technologies.
• AWS environment networking, security, logging, administration, and provisioning.
• Specific accreditation and security, including security controls, system hardening, and compliance requirements.
• Data transfer tools such as NiFi or Cribl.
• Creating ad-hoc scripts in Python and JSON.
• Troubleshooting network connections or scanning.
• JIRA or another ticketing system for task tracking.
• Familiarity with DevOps lifecycle and ability to coordinate
  requirements with development teams.
• Agile and Scrum methodologies for software
  development.
• Technical proficiency in Linux system administration and DevOps tools.
• Software engineering, cloud computing, data management, and system integration
• Machine learning frameworks such as TensorFlow, PyTorch,
  and deploying models in cloud environments (SageMaker)
  data engineering and feature engineering for big data
  processing and machine learning algorithms.
• Understanding cloud platforms (AWS, OCI, Azure, or GCP) and best practices for cloud-based services and security.

Bachelor's Degree in Information Technology or related discipline or equivalent combination of education and work experience.

What We Offer You

• Highly Competitive Salary: Recognizing and rewarding your expertise and contributions.
• Generous Paid Time Off: Providing ample time for rest, relaxation, and personal pursuits.
• Dedicated Training Budget: Supporting continuous learning and professional development.
• 100% Employer-Covered Family Vision, Dental, and Health Insurance: Ensuring comprehensive health coverage for you and your family.
• 100% Employer-Covered Life and Disability Insurance: Offering financial security and peace of mind.
• 401(k) Plan with a 6% Employer Match: Helping you plan and save for a secure retirement, with 100% vesting from day one.
• 11 Paid Government Holidays: Observing national holidays to ensure time off with family and friends.
• Spot Bonuses for Exceptional Performance: Rewarding outstanding contributions and achievements.

SCHEDULE:

This is a full-time position with consultants expected to be available and working onsite during core hours.

Ready to take the next step in your career? Join us and be part of a team dedicated to driving positive change through technology. Apply now with our easy 3-minute, mobile-friendly initial application process. Your future starts here!

About Ardent Principles, Inc

At Ardent Principles, we're more than just a technology company - we're a team of innovators, problem-solvers, and collaborators dedicated to pushing the boundaries of what's possible. Our mission is to empower organizations with transformative IT solutions and program management services, while our values of integrity, excellence, and teamwork guide everything we do. We foster a culture of open communication, where every voice is heard, and every idea is valued. Join us and be part of a company where your contributions truly make a difference.