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Machine Learning Engineer, to 165k - Secret
Columbia, MDWho are we?
Stanley Reid is your trusted matchmaker, connecting you with top contractors and exciting IC/DoD opportunities. Founded by experts in the field, we go beyond just finding jobs. We prioritize personalized guidance, matching your unique skills and goals to the perfect fit. Looking for a stress-free job search? We got you. Let's chat and unlock your career potential!
Our client:
Our client isn't just a cybersecurity company, it's a cybersecurity career powerhouse. Founded in 2009, our client offers exciting careers for IT professionals across various specializations, including CNO, cybersecurity, software development and more. They protect data for government agencies and critical infrastructure companies, tackling complex challenges that impact millions. When you join their talented and collaborative team, you'll thrive in a culture that values your contributions. They offer competitive salaries, healthcare, retirement options, profit sharing, and generous PTO. Does this sound like a place where your skills and passion can make a real difference? Talk to us today and learn how their mission to secure the digital world aligns with your career aspirations.
The work, and what you'll do:
Our client is seeking ML Engineers with a passion for bringing impactful machine learning solutions to life. In this role, you will play a critical role in the entire lifecycle of machine learning models, from deployment and management to troubleshooting and optimization. You will work closely with engineers and data scientists to ensure successful model implementation. You'll have the opportunity to manage and deploy real-world machine learning models that make a significant impact with a collaborative and supportive work environment that fosters learning and growth. Ready to be part of a growing team at the leading edge of machine learning innovation? Apply today!
What you'll need:
- Minimum of 8 years' experience in DevOps or MLOps
- Strong mathematical foundation (statistics, algebra), and understanding of machine learning modeling techniques and algorithms
- Proficiency in Python, Docker, Kubernetes, and Git and experience with common data science libraries (Scikit-learn, PyTorch, etc.)
- Excellent problem-solving and analytical skills and effective communication and presentation skills
Nice to haves:
- Experience deploying open-source Large Language Models (LLMs) (highly desired)
- Experience with data processing platforms like Databricks (a plus)
- Experience with log analysis tools like Splunk (beneficial)
- Experience with CI/CD (Continuous Integration/Continuous Deployment) pipelines (valuable)
- In-depth knowledge of statistics and neural network concepts (advantageous)
Clearance requirement: U.S. Citizenship and active Secret Clearance are mandatory. Please note, you MUST have the required clearance for consideration.
Location: Columbia, MD; salaries can reach $165k for qualified candidates.
Apply @ https://careers.stanleyreid.com/, or contact our MD team for more info: mwhitford@stanleyreid.com, asmith@stanleyreid.com.
We look forward to exploring opportunities with you!
Stanley Reid is your trusted matchmaker, connecting you with top contractors and exciting IC/DoD opportunities. Founded by experts in the field, we go beyond just finding jobs. We prioritize personalized guidance, matching your unique skills and goals to the perfect fit. Looking for a stress-free job search? We got you. Let's chat and unlock your career potential!
Our client:
Our client isn't just a cybersecurity company, it's a cybersecurity career powerhouse. Founded in 2009, our client offers exciting careers for IT professionals across various specializations, including CNO, cybersecurity, software development and more. They protect data for government agencies and critical infrastructure companies, tackling complex challenges that impact millions. When you join their talented and collaborative team, you'll thrive in a culture that values your contributions. They offer competitive salaries, healthcare, retirement options, profit sharing, and generous PTO. Does this sound like a place where your skills and passion can make a real difference? Talk to us today and learn how their mission to secure the digital world aligns with your career aspirations.
The work, and what you'll do:
Our client is seeking ML Engineers with a passion for bringing impactful machine learning solutions to life. In this role, you will play a critical role in the entire lifecycle of machine learning models, from deployment and management to troubleshooting and optimization. You will work closely with engineers and data scientists to ensure successful model implementation. You'll have the opportunity to manage and deploy real-world machine learning models that make a significant impact with a collaborative and supportive work environment that fosters learning and growth. Ready to be part of a growing team at the leading edge of machine learning innovation? Apply today!
What you'll need:
- Minimum of 8 years' experience in DevOps or MLOps
- Strong mathematical foundation (statistics, algebra), and understanding of machine learning modeling techniques and algorithms
- Proficiency in Python, Docker, Kubernetes, and Git and experience with common data science libraries (Scikit-learn, PyTorch, etc.)
- Excellent problem-solving and analytical skills and effective communication and presentation skills
Nice to haves:
- Experience deploying open-source Large Language Models (LLMs) (highly desired)
- Experience with data processing platforms like Databricks (a plus)
- Experience with log analysis tools like Splunk (beneficial)
- Experience with CI/CD (Continuous Integration/Continuous Deployment) pipelines (valuable)
- In-depth knowledge of statistics and neural network concepts (advantageous)
Clearance requirement: U.S. Citizenship and active Secret Clearance are mandatory. Please note, you MUST have the required clearance for consideration.
Location: Columbia, MD; salaries can reach $165k for qualified candidates.
Apply @ https://careers.stanleyreid.com/, or contact our MD team for more info: mwhitford@stanleyreid.com, asmith@stanleyreid.com.
We look forward to exploring opportunities with you!