Machine Learning (ML) Expert

Hudson Data LLC

$120K — $150K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in computer science, mathematics, statistics, or a related field.
  • Strong programming skills in Python and SQL, with proficiency in data analysis techniques.
  • Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Proven track record in real-world machine learning project development.
  • Excellent problem-solving and analytical skills.
  • Bilingual communication in French and English is essential.
  • Strong work ethic and ability to handle confidential information.

Responsibilities

  • Understand and translate business requirements into Client solutions.
  • Communicate technical concepts to non-technical stakeholders effectively.
  • Collaborate with clients to identify new opportunities for machine learning applications.
  • Ensure Client Models support the bank's strategic goals.
  • Work with development teams to deploy models in production environments.
  • Stay informed on AI developments to enhance application performance.
  • Contribute knowledge to benefit the team’s capabilities.

Benefits

  • Long-term employment opportunity
  • Remote webcam interview process
  • Support for H1B transfer/Green Card applications
  • Collaborative work environment in the banking domain
  • Opportunity to work with cutting-edge AI and machine learning technology.
Full Job Description
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.

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