Principal Machine Learning Software Engineer

Overview

Hybrid
Depends on Experience
Full Time
No Travel Required

Skills

Agile
C
C++
Linux
Machine Learning (ML)
Python
Software Development
Systems Design
Deep Learning
System Integration
Computer Engineering
Computer Science
Algorithms

Job Details

Job Title: Principal Machine Learning Software Engineer

Job Location: Monmouth County, NJ (Hybrid)

Job Type: Full-Time

Salary: stock options, competitive salary, and benefits
About Company: This is a full-time role, directly employed position through the client.
Work Schedule Type: This is a hybrid position, currently requiring three days per week onsite

As a Principal Machine Learning Software Engineer, you will play a critical role in designing, developing, and optimizing high-performance software systems that leverage machine learning for tasks such as anomaly and ransomware detection. You ll work in a dynamic Scrum team to deliver production-ready code, improve existing models, and ensure seamless software integration.

REQUIREMENTS & RESPONSIBILITIES

Required Qualifications:

  • Bachelor s, Master s, or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field
  • Proven experience in software development with strong computer science fundamentals (data structures, algorithms, etc.)
  • Proficiency in Python, C/C++, and Linux scripting
  • Practical experience with ML libraries and frameworks such as scikit-learn and pandas
  • Demonstrated end-to-end experience in machine learning projects, including post-release model updates
  • Solid foundation in traditional (shallow) ML models; exposure to deep learning, transformers, and reinforcement learning is a plus
  • Strong interpersonal skills and a collaborative mindset
  • Ability and eagerness to learn, grow, and contribute in a fast-paced team environment

Key Responsibilities:

  • Develop, maintain, and optimize software using Python and C/C++ on Linux systems
  • Design, train, and deploy machine learning models with a focus on security applications
  • Collaborate with cross-functional teams to integrate ML components and resolve technical issues
  • Participate in Agile development cycles and contribute to sprint planning and reviews
  • Stay current with emerging trends and continuously improve your technical skillset

Nice to Have:

  • Background in cybersecurity, particularly in anomaly or ransomware detection
  • Familiarity with Agile methodologies and Scrum practices
  • Experience working in a hybrid or distributed team setting

How To Apply: If interested please apply through Dice.com or send an email to pramod AT dtgsi.com with jobid DIV25-PMLSENG

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About DivTek Global Solutions Inc.