Machine Learning (ML) Expert/Banking Full-time

Machine Learning (ML) Expert/Banking
Jersey City, NJ (Hybrid 3 Days in a week)
12+ Months
Web Cam Interview

$95/Hr on W2

We need:

• SENIOR Machine Learning (ML) Expert with extensive experience working with AI and machine learning to Work with Application Development teams to deploy and support ML models in production environments as well as stay up to date with latest development in ML and AI and apply this knowledge to first improve the performances of applications (current & past), and second to the benefits of the team.
• Candidates must have experience collaborating with internal clients to identify new opportunities for ML applications and models.
• Must have experience with CI/CD pipelines (GIT, Jenkins, …) and MLOps (MLFlow) and experience with containerization techniques (Docker & Kubernetes).
• Banking experience is a huge +

Candidate Must Have’s on a resume and for submittal:

• How many years working with: Machine Learning
• How many years working with: CI/CD
• How many years working with: Docker and Kubernetes
• How many years working with: Python
• How many years working with: Banking or financial services a huge plus.

Job Description:
The Machine Learning (ML) Expert will:

• Understand the business needs and requirements and translate them into ML 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 ML applications and models.
• Ensure that ML Models are aligned with the bank’s overall strategy and goals.
• Work with Application Development teams to deploy and support ML models in production environments.
• Stay up to date with latest development in ML 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

• Master’s 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 frameworks 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 (both French and English) 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.