Machine Learning Specialist

3 weeks ago


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

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

Key Responsibilities:

  1. Translate business needs into actionable machine learning solutions.
  2. Communicate complex technical concepts to non-technical stakeholders.
  3. Collaborate with internal clients to identify new opportunities for machine learning applications.
  4. Ensure machine learning models align with the company's overall strategy and goals.
  5. Work with development teams to deploy and support machine learning models in production environments.
  6. Stay up-to-date with the latest developments in machine learning and AI, applying this knowledge to improve model performance and benefit the team.

Requirements:

  1. Master's degree in computer science, mathematics, statistics, or a related field.
  2. Strong programming skills in languages such as Python, SQL, and statistical modeling.
  3. Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
  4. Experience in developing and working on real-world machine learning projects.
  5. Strong problem-solving and analytical skills.
  6. Excellent communication and collaboration skills.
  7. Strong work ethic and ability to handle confidential information.

Nice-to-Have Qualifications:

  1. Experience in deploying models to production.
  2. Experience with CI/CD pipelines and MLOps.
  3. Experience with containerization techniques like Docker and Kubernetes.
  4. Experience in mentoring junior team members.

About US Tech Solutions:

We are 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 protected veteran status.



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