
Machine Learning (ML) Expert
Hudson Data · Jersey City, NJ
All reasons
- Open 808 days
In its favour
- Still listed on the employer's own board
Job Title
Machine Learning (Client) Expert (Banking Domain)
Location
Jersey City, NJ (Web Cam Interview)
Duration
Long Term (W2)
H1 Transfer/ GC/ Citizen
Job Description
Responsibilities
The Machine Learning (Client) Expert will
- Understand the business needs and requirements and translate them into Client 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 Client applications and models.
- Ensure that Client Models are aligned with the bank's overall strategy and goals.
- Work with Application Development teams to deploy and support Client models in production environments.
- Stay up to date with latest development in Client 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.
Job Title
Machine Learning (Client) Expert (Banking Domain)
Location
Jersey City, NJ (Web Cam Interview)
Duration
Long Term (W2)
H1 Transfer/ GC/ Citizen
Job Description
Responsibilities
The Machine Learning (Client) Expert will
- Understand the business needs and requirements and translate them into Client 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 Client applications and models.
- Ensure that Client Models are aligned with the bank's overall strategy and goals.
- Work with Application Development teams to deploy and support Client models in production environments.
- Stay up to date with latest development in Client 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.
Skills
- Machine Learning
- Python
- SQL
- TensorFlow
- PyTorch
- scikit-learn
- Git
- Jenkins
- MLOps
- MLflow
- Docker
- Kubernetes
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