Machine Learning Engineer at iSphere Innovation Partners, LLC
South Amboy, NJ
About the Job
Machine Learning Engineer at iSphere
iSphere is seeking a Machine Learning Engineer to join our innovative team. In this role, you will collaborate with cross-functional teams to build, optimize, and productionize machine learning models that drive impactful solutions for our clients.
We value team players who bring strong computer science fundamentals, proven ML engineering skills, and a passion for learning. While prior experience is preferred, we also welcome talented early-career professionals seeking to gain hands-on expertise in an encouraging, fast-paced environment.
Key Responsibilities:
- Develop, test, deploy, and iterate on machine learning models, with a focus on anomaly detection, fraud detection, and ransomware detection
- Translate research concepts into production-ready code leveraging languages like Python and C
- Work in a Scrum team to architect and integrate robust software components
- Partner with Quality Assurance to ensure rigorous testing methods and standards
- Provide technical guidance and mentorship to teammates
Required Qualifications:
- 1-3 years of industry experience in machine learning engineering
- Proficiency in Python and expertise working with libraries like Pandas and Scikit-Learn
- Understanding of Linux environments and Agile methodologies
- Strong communication, collaboration, and analytical abilities
Preferred Qualifications:
- Advanced computer science degree (MS/PhD)
- 3+ years in an ML engineering role
- Demonstrated expertise in data structures, algorithms, and scalable machine learning
If you are excited by the chance to expand your ML skills in a supportive, growth-focused company, we encourage you to apply for this position at iSphere today!
iSphere is seeking a Machine Learning Engineer to join our innovative team. In this role, you will collaborate with cross-functional teams to build, optimize, and productionize machine learning models that drive impactful solutions for our clients.
We value team players who bring strong computer science fundamentals, proven ML engineering skills, and a passion for learning. While prior experience is preferred, we also welcome talented early-career professionals seeking to gain hands-on expertise in an encouraging, fast-paced environment.
Key Responsibilities:
- Develop, test, deploy, and iterate on machine learning models, with a focus on anomaly detection, fraud detection, and ransomware detection
- Translate research concepts into production-ready code leveraging languages like Python and C
- Work in a Scrum team to architect and integrate robust software components
- Partner with Quality Assurance to ensure rigorous testing methods and standards
- Provide technical guidance and mentorship to teammates
Required Qualifications:
- 1-3 years of industry experience in machine learning engineering
- Proficiency in Python and expertise working with libraries like Pandas and Scikit-Learn
- Understanding of Linux environments and Agile methodologies
- Strong communication, collaboration, and analytical abilities
Preferred Qualifications:
- Advanced computer science degree (MS/PhD)
- 3+ years in an ML engineering role
- Demonstrated expertise in data structures, algorithms, and scalable machine learning
If you are excited by the chance to expand your ML skills in a supportive, growth-focused company, we encourage you to apply for this position at iSphere today!
Salary
145,000 - 145,000 /year