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Senior Automation Engineer

About DMI

DMI is a leading provider of digital services and technology solutions, headquartered in Tysons Corner, VA. With a focus on end-to-end managed IT services, including managed mobility, cloud, cybersecurity, network operations, and application development, DMI supports public sector agencies and commercial enterprises around the globe. Recognized as a Top Workplace, DMI is committed to delivering secure, efficient, and cost-effective solutions that drive measurable results. Learn more at www.dminc.com

About the Opportunity

DMI, LLC is seeking a Senior Automation Engineer to join us. 

 

Duties and Responsibilities:

  • The AI/ML Senior Engineer is responsible for designing and implementing machine learning models that enhance network efficiency. Their duties include:
  • Model Development for Anomaly Detection: Developing and implementing machine learning models to detect anomalies and predict network failures, crucial for large-scale environments. This involves analyzing historical and real-time data to identify patterns.
  • Algorithm Design for Root Cause Analysis: Designing algorithms for automated root cause analysis that identify the most probable causes of network issues. This includes creating systems that can process data from protocols like SNMP, Syslog, and NetFlow to pinpoint issues quickly, reducing downtime.
  • Recommendation Systems: Creating intelligent recommendation systems that suggest the top three likely reasons for detected errors and provide step-by-step solutions for resolution.
  • Performance Optimization: Optimizing AI/ML models for real-time performance and scalability to handle extensive network data, especially important for networks with over 5,000 devices. This involves ensuring models can process large volumes of data without latency.
  • Collaboration and Integration: Collaborating with network architects and engineers to integrate AI/ML solutions into the existing infrastructure, ensuring seamless deployment and operation. This includes working on tools like Cisco DNA Center for enhanced management.
  • Leadership and Mentorship: Leading technical initiatives and mentoring junior engineers in AI/ML methodologies, fostering a culture of continuous learning and improvement.
  • Technology Updates: Staying updated with the latest advancements in AI/ML and networking technologies to continually improve system capabilities, ensuring the organization remains operational.

Qualifications

Education and Years of Experience: 

  • BS 5-7 Years, MS 3-5, PhD 0-2

Required and Desired Skills/Certifications:

  • PyTorch, TensorFlow, Python 

Additional Requirements:

  • Knowledge of Cisco devices, Ansible
  • Successful completion of a Public Trust background investigation and a Public Trust clearance.

 

Min Citizenship Status Required: Must be a U.S. Citizen

 

Physical Requirements: No Physical requirement needed for this position.

Location: Remote, US

Working at DMI

DMI is a diverse, prosperous, and rewarding place to work. Being part of the DMI family means we care about your wellbeing. As such, we offer a variety of perks and benefits that help meet various interests and needs, while still having the opportunity to work directly with a number of our award-winning, Fortune 1000 clients. The following categories make up your DMI wellbeing:

  • Convenience/Concierge - Virtual visits through health insurance, pet insurance, commuter benefits, discount tickets for movies, travel, and many other items to provide convenience.
  • Development – Annual performance management, continuing education, and tuition assistance, internal job opportunities along with career enrichment and advancement to help each employee with their professional and personal development.
  • Financial – Generous 401k matches both pre-tax and post-tax (ROTH) contributions along with financial wellness education, EAP, Life Insurance and Disability help provide financial stability for each DMI employee.
  • Recognition – Great achievements do not go unnoticed by DMI through Annual Awards ceremony, service anniversaries, peer-to-peer acknowledgment, employee referral bonuses.
  • Wellness – Healthcare benefits, Wellness programs, Flu Shots, Biometric screenings, and several other wellness options.

 

Employees are valued for their talents and contributions. We all take pride in helping our customers achieve their goals, which in turn contributes to the overall success of the company.

 

 

***************** No Agencies Please *****************

 

Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. US citizenship may be required for some positions.

Average salary estimate

$120000 / YEARLY (est.)
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$100000K
$140000K

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What You Should Know About Senior Automation Engineer, DMI

DMI is on the lookout for a talented Senior Automation Engineer to join our innovative team! This remote role is an incredible opportunity for someone with a passion for AI and machine learning to make a real impact. At DMI, headquartered in Tysons Corner, VA, we pride ourselves on being a leading provider of digital services, focusing on end-to-end managed IT solutions. As a Senior Automation Engineer, you'll be at the forefront of designing and implementing machine learning models to enhance network efficiency. Your key responsibilities will include developing and integrating algorithms for anomaly detection and root cause analysis, while also collaborating closely with network architects to ensure seamless AI/ML solutions. Additionally, you'll have the chance to lead technical initiatives and mentor junior engineers, fostering a culture of continuous learning within our diverse and supportive workplace. With an emphasis on performance optimization and technological advancement, this position allows you to stay updated with the latest in AI/ML and networking technologies. If you thrive in a collaborative, growth-oriented environment and are looking to take the next step in your career, DMI is the perfect place for you to shine!

Frequently Asked Questions (FAQs) for Senior Automation Engineer Role at DMI
What are the responsibilities of a Senior Automation Engineer at DMI?

As a Senior Automation Engineer at DMI, you will be responsible for designing and implementing machine learning models that improve network efficiency. This includes developing anomaly detection models, creating algorithms for automated root cause analysis, and building intelligent recommendation systems to aid in error resolution. Your role will also involve collaboration with network teams to integrate these solutions and optimizing models for performance and scalability.

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What qualifications are required for the Senior Automation Engineer position at DMI?

To qualify for the Senior Automation Engineer role at DMI, candidates should have a Bachelor’s degree and 5-7 years of experience, or a Master’s with 3-5 years. Proficiency in Python and frameworks like PyTorch and TensorFlow is essential. Familiarity with Cisco devices and automation tools like Ansible is also important, along with the ability to obtain Public Trust clearance.

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How does DMI support career development for Senior Automation Engineers?

At DMI, we are committed to the professional growth of our employees. As a Senior Automation Engineer, you will benefit from annual performance management, continuing education opportunities, and tuition assistance. We offer internal job opportunities and career enrichment initiatives, encouraging you to continually develop new skills and advance your career.

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What technology stack does a Senior Automation Engineer at DMI work with?

A Senior Automation Engineer at DMI primarily works with machine learning technologies including PyTorch and TensorFlow, alongside programming in Python. You will also work with network protocols such as SNMP and Syslog, leveraging tools like Cisco DNA Center and potentially automating processes using Ansible.

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What kind of work environment can a Senior Automation Engineer expect at DMI?

At DMI, Senior Automation Engineers can expect a remote, inclusive, and supportive work environment. We prioritize employee wellbeing and offer a range of benefits, recognition programs, and a culture of continuous learning, all while collaborating with a diverse team dedicated to delivering exceptional digital services.

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Common Interview Questions for Senior Automation Engineer
What experience do you have with machine learning models in network automation?

When answering this question, focus on specific projects you have worked on. Highlight your experience with model development, performance optimization, and your understanding of algorithms related to network reliability. Discuss the impact your previous work has had on network efficiency.

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Explain a challenging technical problem you faced and how you solved it.

Use the STAR method (Situation, Task, Action, Result). Describe a specific issue related to automation or network anomalies, outline your thought process in diagnosing the problem, and detail the steps you took to implement a solution. Emphasize teamwork and collaboration if applicable.

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How do you stay current with advancements in AI and networking technologies?

Talk about the resources you utilize, such as online courses, industry conferences, community forums, and technology blogs. Emphasize the importance of continuous learning and how you apply new knowledge to your work.

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Can you describe your experience with real-time performance optimization?

Address your background in optimizing machine learning models for real-time applications. Describe techniques you have employed to ensure models are scalable and can handle extensive data without latency.

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How would you approach collaboration with network architects and engineers?

Discuss your strategies for effective communication and teamwork. Highlight how you would share your insights on AI/ML solutions, take feedback, and adapt your approach to meet the needs of the engineering team.

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What algorithms would you use for root cause analysis in network failures?

Talk about specific algorithms you are familiar with, such as decision trees, clustering methods, or neural networks. Explain how you would select an algorithm based on the nature of the data and the specific requirements of the network.

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How do you handle the mentorship of junior engineers?

Share your philosophy on mentorship, including fostering a culture of continuous learning. Provide examples of how you have guided junior engineers through technical challenges or supported their professional development.

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What do you consider key challenges in network automation?

Identify challenges such as integrating AI/ML solutions with existing infrastructures or dealing with data silos. Discuss how you would address these challenges, emphasizing problem-solving and innovation.

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Describe a project where you improved network efficiency using AI/ML.

Provide a detailed account of a specific project. Discuss your role in the project, the technologies used, the outcomes achieved, and any recognitions received for your contributions.

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What is your experience with Cisco networking solutions?

Discuss your familiarity with Cisco products and services, especially in relation to their integration with AI/ML models. Highlight any hands-on experiences and how you used these technologies to enhance network management or operational efficiency.

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Full-time, remote
DATE POSTED
April 17, 2025

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