AI / ML Engineer
at Triunity Software
Toronto, ON, Canada -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 26 Nov, 2024 | USD 90000 Annual | 31 Aug, 2024 | 10 year(s) or above | Computer Science,Computer Vision,Version Control,Reinforcement Learning,Natural Language Processing,Software Development,Code Review,Nlp,Unsupervised Learning,Testing,Azure,Google Cloud,Spark,Mathematics,Aws,Algorithms,Deep Learning,Python | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
QUALIFICATIONS:
- Bachelor’s or Master’s degree in computer science, engineering, mathematics, or a related field.
- Strong proficiency in Python and experience with libraries such as TensorFlow, PyTorch, scikit-learn, etc.
- Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, etc.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment and management.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills, with the ability to work effectively in a team environment.
PREFERRED QUALIFICATIONS:
- Experience with natural language processing (NLP), computer vision, or other specialized areas of machine learning.
- Knowledge of software development best practices, including version control, testing, and code review.
- Experience with big data technologies such as Hadoop, Spark, etc.
Responsibilities:
- Design, develop, and deploy machine learning models and algorithms to solve business problems.
- Collaborate with cross-functional teams to gather requirements, understand business objectives, and deliver AI/ML solutions.
- Explore and experiment with new machine learning techniques, frameworks, and libraries to improve model performance and accuracy.
- Optimize and scale machine learning algorithms to handle large volumes of data efficiently.
- Conduct thorough testing and validation to ensure the quality and reliability of AI/ML models.
- Stay up-to-date with the latest advancements in artificial intelligence and machine learning research and technologies.
REQUIREMENT SUMMARY
Min:10.0Max:15.0 year(s)
Information Technology/IT
IT Software - Application Programming / Maintenance
Software Engineering
Graduate
Computer Science, Engineering, Mathematics
Proficient
1
Toronto, ON, Canada