Data Scientist Jobs

About The Position

Requirements

• Programming: Python, SQL
• APIs: REST/JSON, HTTP requests, authentication, tokens, error handling, debugging, integrations, documentation
• Cloud Platforms: Azure, AWS, GCP
• Big Data Tools: Databricks, PySpark
• AI/ML Frameworks: LangChain, TensorFlow, PyTorch, Scikit-learn
• MLOps & Deployment: Docker, Azure DevOps, AWS ECS/EKS/Fargate, CI/CD pipelines
• Databases: MySQL, MongoDB, Redis
• Knowledge of RAG architectures, AI agents, and multimodal AI systems
• Bachelor's degree or higher in AI, Machine Learning, Data Science, or a related field (or equivalent experience).
• Hands-on experience with: Model deployment and monitoring, MLOps practices, Managing model and data drift, Cloud-based AI solutions
• Strong analytical and problem-solving abilities
• Excellent communication and stakeholder management skills
• Ability to work effectively in cross-functional teams
• Capability to explain complex AI concepts to non-technical audiences

Nice To Haves

• Graph databases such as Neo4j or Ontotext are a plus

Responsibilities

• Design and develop AI-powered applications and APIs.
• Build and deploy Generative AI (GPT, Claude, Stable Diffusion, RAG) and Predictive AI models (regression, classification, clustering).
• Develop intelligent AI agents and agentic workflows for task automation.
• Deploy, monitor, and optimize AI models in production environments.
• Design and maintain data pipelines, data lakes, and data warehouses.
• Collaborate with business and technical teams to align AI solutions with organizational goals.
• Stay updated on emerging AI technologies and contribute to reusable assets, demos, and sales initiatives.
• Communicate AI concepts and outcomes to both technical and non-technical stakeholders.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility