Carbon60

AI Product Specialist

Carbon60

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇨🇦 Canada

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Job Level

Mid-LevelSenior

Tech Stack

AirflowAWSCloudDockerKubernetesNumpyPandasPythonPyTorchScikit-LearnTensorflowTerraform

About the role

  • Work with customer stakeholders to translate business problems into ML solutions
  • Design, prototype, and deploy models for structured and unstructured data use cases
  • Implement production-grade ML pipelines using tools like SageMaker, MLflow, Airflow, or Databricks
  • Build and optimize feature engineering workflows and data pipelines
  • Evaluate model performance and design appropriate validation strategies
  • Collaborate with Data Engineers, Architects, and Product Managers across engagements
  • Communicate technical concepts clearly to both technical and non-technical stakeholders

Requirements

  • 3+ years experience in ML Engineering or Data Science roles
  • Strong proficiency in Python (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow, etc.)
  • Experience with cloud platforms (AWS) and ML tooling (e.g., SageMaker, Databricks, etc)
  • Understanding of MLOps concepts (CI/CD for ML, model monitoring, reproducibility)
  • Ability to work in customer environments, adapt quickly, and manage multiple projects
  • Experience with GenAI (LLMs, vector databases, RAG pipelines, LangChain)
  • Experience with AWS Services
  • Familiarity with MLflow, Docker, Kubernetes, or Terraform for infrastructure-as-code
  • Contributions to open-source projects or published ML work
Benefits
  • Competitive compensation package
  • Retirement Savings Matching Program (RRSP)
  • Partnership with Perkopolis Discounts
  • Flexibility & Time Off
  • Remote first work environment
  • Flexible work hours & location
  • Paid parental leave options
  • Employer-paid health & dental premiums
  • GreenShield+ Counselling
  • Mental Health
  • $500 in Health Care Spending Account annually
  • Training reimbursement (e.g courses on Udemy, Coursera, a-cloud-guru etc.)
  • Peer recognition rewards

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningPythonPandasNumPyscikit-learnPyTorchTensorFlowfeature engineeringmodel performance evaluationMLOps
Soft skills
communicationadaptabilityproject managementcollaboration