About the Company
IBM Canada is a leading global technology and consulting company with a strong commitment to innovation in AI, cloud, and data. We are at the forefront of developing groundbreaking solutions that solve complex challenges for businesses and governments worldwide. Our Montreal office is a vibrant hub for research and development, particularly in artificial intelligence and machine learning, fostering a collaborative and inclusive environment where diverse talent thrives. Join a team dedicated to making a tangible impact on the future of technology.
Job Description
We are seeking an innovative and passionate Data Scientist specializing in AI and Machine Learning to join our dynamic team in Montreal. This is an exceptional opportunity for talented professionals globally, as we offer comprehensive visa sponsorship and relocation assistance. As a Data Scientist, you will be instrumental in designing, developing, and deploying cutting-edge AI/ML models and solutions. You will work on a variety of challenging projects, from predictive analytics and natural language processing to computer vision, contributing to the next generation of IBM’s AI-powered products and services. If you have a strong analytical mind, a solid background in machine learning algorithms, and a desire to make a global impact, we encourage you to apply.
Key Responsibilities
- Design, develop, and implement advanced machine learning models and algorithms.
- Collect, clean, and preprocess large datasets from various sources.
- Perform in-depth data analysis to identify trends, patterns, and insights.
- Collaborate with cross-functional teams, including engineers, product managers, and business stakeholders, to define problem statements and translate business requirements into technical solutions.
- Evaluate and optimize model performance, ensuring scalability, reliability, and accuracy.
- Develop and maintain robust MLOps pipelines for model deployment and monitoring.
- Present complex technical concepts and findings clearly to both technical and non-technical audiences.
- Stay current with the latest advancements in AI/ML research and apply new techniques to improve existing solutions.
- Mentor junior data scientists and contribute to a culture of continuous learning and innovation.
Required Skills
- Proficiency in Python and relevant libraries (e.g., TensorFlow, Keras, PyTorch, scikit-learn, Pandas, NumPy).
- Strong understanding of various machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning, deep learning).
- Experience with data manipulation, analysis, and visualization tools.
- Solid foundation in statistical analysis and experimental design.
- Ability to communicate complex data-driven insights effectively.
- Experience with cloud platforms (e.g., IBM Cloud, AWS, Azure, GCP).
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
Preferred Qualifications
- Ph.D. in a relevant quantitative field.
- Experience with big data technologies (e.g., Spark, Hadoop).
- Familiarity with MLOps practices and tools (e.g., Docker, Kubernetes, Kubeflow).
- Experience in Natural Language Processing (NLP) or Computer Vision.
- Proven track record of deploying AI/ML models into production.
- Knowledge of software engineering best practices (e.g., version control, code review).
Perks & Benefits
- Comprehensive visa sponsorship and relocation package.
- Competitive annual salary with performance bonuses.
- Generous health, dental, and vision insurance.
- Paid time off and flexible work arrangements.
- Opportunities for professional development, training, and certifications.
- Access to cutting-edge tools and technologies.
- Employee assistance program and mental wellness resources.
- Vibrant and inclusive company culture.
- On-site fitness center and cafeteria services (at Montreal office).
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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