Machine Learning Engineer
Quick Summary
A degree in Computer Science or related field, or 4+ years of software engineering experience. Must have a TS/SCI security clearance. Must be willing to travel and work from a SCIF as needed.
Requirements
~1 min readRequirements
~1 min readProven track record of deploying software into production environments.
Proficiency in Python with a solid understanding of Python Data Stack (pandas, NumPy, scikit-learn, PyTorch, Matplotlib, etc.).
Experience with big data technologies and frameworks (Spark, Databricks, Snowflake, etc).
Familiarity with Docker, Kubernetes, and Git.
Exceptional problem-solving skills and a keen sense of ownership.
Excellent communication skills in English, both written and verbal.
Nice to Have
~1 min read-
Experience in Machine Learning Engineering roles and the end-to-end lifecycle of AI applications, from model development to deployment.
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Experience with Predictive Maintenance, Supply Chain, Scheduling Optimization, etc.
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Experience with PCAP and network monitoring, CVEs and Cyber Vulnerabilities, etc.
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1 year of experience with technologies like task schedulers (e.g. Celery, Airflow, Prefect, etc.) and web-app development stacks (e.g. Flask/Django) or app building kits like Streamlit/Plotly Dash.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- April 16, 2026
- First seen
- April 18, 2026
- Last seen
- May 2, 2026
Posting Health
- Days active
- 14
- Repost count
- 0
- Trust Level
- 30%
- Scored at
- May 2, 2026
Signal breakdown
Virtualitics is an AI-driven analytics platform that transforms data analysis into actionable insights, helping organizations leverage AI for improved decision-making.
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Machine Learning Engineer