Axelon Services Corporation
Machine Learning Engineer
Axelon Services Corporation, Jersey City, New Jersey, United States, 07390
Job Title: Machine Learning Engineer (Hybrid)
Location: Jersey City, NJ
Hours: 8am - 5pm
*No C2C*
Responsibilities
Understand the business needs and requirements and translate them into Machine Learning solutions.Communicate technical concepts and results to non-technical stakeholders in a clear and concise manner.Collaborate with internal clients to identify new opportunities for Machine Learning applications and models.Ensure that Machine Learning Models are aligned with the banks overall strategy and goals.Work with Application Development teams to deploy and support Machine learning models in production environments.Stay up to date with latest development in Machine Learning and AI and apply this knowledge to first improve the performances of applications (current & past), and second to the benefits of the team.
Minimum Required Qualifications:
Masters degree in computer science, mathematics, statistics, or a related field.Strong programming skills in languages such as Python, database manipulation (SQL), statistical modeling, and data analysis techniques.Experience with machine learning library such as Tensorflow, PyTorch, or scikit-learn.Experience in developing and working on real-world machine learning projects.Strong problem-solving and analytical skills.Excellent communication and collaboration skills.Very strong work ethic and ability to deal with confidential information.
Nice-to-have Qualifications:
Experience in deploying models to production.Experience with CI/CD pipelines (GIT, Jenkins, ...) and MLOps (MLFlow).Experience with containerization techniques (Docker & Kubernetes).Experience with mentoring junior team members.
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Location: Jersey City, NJ
Hours: 8am - 5pm
*No C2C*
Responsibilities
Understand the business needs and requirements and translate them into Machine Learning solutions.Communicate technical concepts and results to non-technical stakeholders in a clear and concise manner.Collaborate with internal clients to identify new opportunities for Machine Learning applications and models.Ensure that Machine Learning Models are aligned with the banks overall strategy and goals.Work with Application Development teams to deploy and support Machine learning models in production environments.Stay up to date with latest development in Machine Learning and AI and apply this knowledge to first improve the performances of applications (current & past), and second to the benefits of the team.
Minimum Required Qualifications:
Masters degree in computer science, mathematics, statistics, or a related field.Strong programming skills in languages such as Python, database manipulation (SQL), statistical modeling, and data analysis techniques.Experience with machine learning library such as Tensorflow, PyTorch, or scikit-learn.Experience in developing and working on real-world machine learning projects.Strong problem-solving and analytical skills.Excellent communication and collaboration skills.Very strong work ethic and ability to deal with confidential information.
Nice-to-have Qualifications:
Experience in deploying models to production.Experience with CI/CD pipelines (GIT, Jenkins, ...) and MLOps (MLFlow).Experience with containerization techniques (Docker & Kubernetes).Experience with mentoring junior team members.
#J-18808-Ljbffr