What are the responsibilities and job description for the Principal Machine Learning Software Engineer position at DivTek Global Solutions Inc.?
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
