Machine Learning Engineer

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Company: Ardent Principles, Inc

Location: Herndon, VA 20171

Description:

Machine Learning Engineer

Department: Data Analysis and Technology Services

Employment Type: Full Time

Location: Herndon, VA

Compensation: $130,000 - $260,000 / year

Description

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!

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