Join a Fortune 500 multinational project in Canada as a Senior AI Engineer! This fully remote role offers the flexibility of fulltime or contract engagement. Be at the forefront of innovation by developing cuttingedge solutions and spearheading technological advancements.
Dont miss the opportunity to become an integral part of the clients dynamic teamapply today!
Primary Responsibilities:
- AI/ML Solution Development: Design build and deploy AI and machine learning models and algorithms to address complex business challenges.
- Technical Leadership: Offer technical guidance and mentorship to junior team members promoting best practices and advanced methodologies.
- Research & Innovation: Stay abreast of advancements in AI and machine learning leveraging new technologies to enhance existing systems or create innovative solutions.
- CrossFunctional Collaboration: Partner with product managers software engineers and stakeholders to define project requirements develop technical specifications and deliver effective AI solutions.
- Data Preparation: Conduct data analysis preprocessing and feature engineering to prepare highquality datasets for machine learning models.
- Model Development: Train validate and optimize machine learning models to meet performance and accuracy goals.
- Deployment & Maintenance: Implement AI models in production monitor their performance and make necessary adjustments to ensure efficiency.
- Documentation: Create thorough documentation of models algorithms and methodologies to facilitate reproducibility and knowledge sharing.
- Compliance & Ethics: Ensure all AI solutions align with ethical guidelines data privacy regulations and industry standards.
Qualifications:
- Education: Bachelors or Masters degree in Computer Science Data Science Electrical Engineering or a related field; a PhD is a plus.
- Experience: At least 5 years of professional experience in AI and machine learning including a proven track record of deploying AI solutions in production environments.
Technical Expertise:
- Proficiency in programming languages such as Python or C.
- Indepth experience with machine learning frameworks and libraries (e.g. TensorFlow PyTorch scikitlearn).
- Strong knowledge of statistical analysis data mining and data visualization.
- Familiarity with cloud platforms (e.g. AWS GCP Azure) and containerization tools (e.g. Docker Kubernetes).
- Experience with version control systems (e.g. Git) and Agile or Scrum development methodologies.
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