Software Engineer, Artificial Intelligence and Machine Learning
Bluestaq
Date: 1 week ago
City: Colorado Springs, CO
Salary:
$85,000
-
$228,000
per year
Contract type: Full time
Location: Colorado Springs, Colorado. This is not a remote position.Additional Compensation: This position is eligible for an end-of-year bonus.Employment Benefits: Bluestaq offers a wide range of competitive benefits including Medical, Dental, Vision, Life Insurance, Disability Insurance, Paid Leave, and 401k. For more information regarding Bluestaq benefits, please visit https://www.bluestaq.com/benefits.Where Innovation Powers ImpactReady to turn your expertise into impact? Welcome to Bluestaq.About BluestaqAt Bluestaq, we're not just another tech company-we're a mission-driven team of innovators, problem-solvers, and trailblazers. Whether supporting space exploration, defense systems, global alliances, government initiatives, healthcare advancements, or commercial breakthroughs, our work spans industries that shape the future. Founded in 2018, Bluestaq has quickly become a leader in enterprise software and secure data management. Our name? A nod to our roots-"blue" (military shorthand for the good guys) and "staq" (as in software stack).Recognized ExcellenceWe don't just talk about excellence-we deliver it. Bluestaq has earned national recognition as one of Inc. Magazine's Fastest-Growing Private Companies and is consistently ranked among Colorado's Best Workplaces. Whether we're supporting national security, enabling healthcare advancements, or driving commercial innovation, we're committed to building data management solutions that matter.Why Colorado Springs?
- Tech Talent Hotspot - Ranked #2 up-and-coming tech market in North America by CBRE (2024).
- Top Place to Live - Named #3 Best Place to Live in the U.S. and Most Desirable City overall by U.S. News (2024-25).
- Neighborly Spirit - Recognized as America's Most Neighborly City (2024) for community engagement and quality of life.
- Active Lifestyle Hub - Top 5 for hiking and fitness, blending outdoor recreation and wellness (2022).
- Pet-Friendly Leader - Ranked #1 Most Pet-Friendly City in the U.S. (2023) for furry, scaly, and feathery friends.
- Architect large-scale AI data systems across SQL and NoSQL databases.
- Push the boundaries of database design, data modeling, and performance optimization.
- Build and optimize graph data stores to supercharge AI/ML applications.
- Lead data security implementations and tackle ambitious technical projects.
- Collaborate across teams to enhance application performance and navigate big data complexities.
- Review and refine ML code, improving quality and scalability.
- Drive learning and innovation by leading design reviews and tech talks.
- Develop and test software using tools like Jenkins and SonarQube, ensuring robust performance.
- Monitor and enhance data pipeline performance while keeping pace with emerging technologies.
- 2+ years of hands-on experience in AI, ML, and database engineering.
- A Master's degree in a relevant field.
- Expertise in supervised, semi-supervised, and unsupervised ML approaches and knowing when to use each.
- Proficiency in graph-native ML pipelines for feature engineering and evaluation.
- Ability to design and apply formal ontologies to graph data modeling.
- Mastery of programming languages like Java, Python, or JavaScript.
- Deep understanding of graph databases-property graph models, Cypher Query Language, and graph algorithms.
- Familiarity with tools like Maven, Jenkins, SonarQube, and Apache Zookeeper.
- Experience with SQL database design, REST API development, and relational data modeling.
- Comfort with cloud platforms (AWS, GCP, Azure) and big data tools (Kafka, Apache Spark, Hadoop).
- A passion for Artificial Intelligence and Machine Learning advancements and data science breakthroughs.
- Strong communication skills to translate complex ideas into clear solutions.
- A curious mindset and a proactive approach to problem-solving.
- Resilience and adaptability in fast-paced environments.
- A proven track record of innovation in data science and modeling.
- Impact: Play a critical role in national defense and security and other critical sectors.
- Innovation: Work with state-of-the-art technologies and methodologies.
- Growth: Engage in continuous learning through design reviews, tech talks, and mentorship.
- Purpose: Contribute to solutions that safeguard and empower our nation.
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