Join a Fortune 500 multinational project in Canada as a Senior AI Engineer! This fully remote role offers the flexibility of full-time or contract engagement. Be at the forefront of innovation by developing cutting-edge solutions and spearheading technological advancements.
Don’t miss the opportunity to become an integral part of the client’s dynamic team-apply 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.
- Cross-Functional 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 high-quality 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: Bachelor’s or Master’s 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++.
- In-depth experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- 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.
Share your resume at hr@techedinlabs.com
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About the Company:
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