Company:
Mindlance
Location: Jersey City
Closing Date: 16/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / 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.
EEO:
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
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.
EEO:
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
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