Machine Learning Specialist

2 days ago

Montreal, Quebec, Canada US Tech Solutions Full time
Job Title: Machine Learning Expert

US Tech Solutions is seeking a highly skilled Machine Learning Expert to join our team. As a Machine Learning Expert, you will be responsible for developing and implementing machine learning solutions that drive business growth and improve operational efficiency.

Key Responsibilities:
  • Translate business needs into machine learning solutions
  • Communicate technical concepts to non-technical stakeholders
  • Collaborate with internal clients to identify new opportunities for machine learning applications
  • Ensure machine learning models align with the bank's overall strategy and goals
  • Work with Application Development teams to deploy and support machine learning models in production environments
  • Stay up-to-date with the latest developments in machine learning and AI
Requirements:
  • 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 and collaboration skills
  • Very strong work ethic and ability to deal with confidential information
Preferred 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
About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. We are an Equal Opportunity Employer and welcome applications from qualified candidates without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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