Machine Learning Engineer, to 165k - Columbia, MD, United States - SRC

Description

Who 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 @ , or contact our MD team for more info: ,
We look forward to exploring opportunities with you