AI Product Specialist
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Job Description
Engineering and consulting company designing and deploying ML solutions for business challenges. Collaborating with stakeholders and optimizing data pipelines in a remote environment.
Responsibilities:
- 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
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