About the Company
IBM is a global technology and consulting company headquartered in Armonk, New York, with operations in over 170 countries. Known for its comprehensive portfolio of IT products and services, IBM is a leader in artificial intelligence (AI), cloud computing, and enterprise solutions. The company’s commitment to innovation and ethical technology drives its mission to create smarter businesses and a better world.
Job Description
We are seeking a highly skilled and experienced Data Scientist specializing in AI and Machine Learning to join our innovative team in St. Albert, Canada. This role is pivotal in developing cutting-edge AI solutions, from conceptualization to deployment, that drive business value and enhance user experiences. We are looking for a visionary individual who can leverage complex datasets to build robust predictive models and intelligent systems. This is an exceptional opportunity for a talented professional looking to make a significant impact in a dynamic, global environment, with full visa sponsorship and relocation assistance provided.
Key Responsibilities
- Design, develop, and deploy advanced machine learning models and AI algorithms.
- Conduct extensive data analysis to identify trends, patterns, and insights from diverse datasets.
- Collaborate with cross-functional teams, including engineers and product managers, to define problem statements, data requirements, and solution architecture.
- Optimize and fine-tune AI models for performance, scalability, and efficiency in production environments.
- Stay abreast of the latest advancements in AI, machine learning, and data science research, and evaluate their applicability to our business challenges.
- Present findings, insights, and recommendations to technical and non-technical stakeholders in a clear and compelling manner.
- Mentor junior data scientists and contribute to the team's knowledge sharing initiatives and best practices.
Required Skills
- Strong proficiency in Python and relevant ML/AI libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
- Solid understanding of statistical modeling, machine learning algorithms (e.g., regression, classification, clustering), and deep learning architectures (e.g., CNNs, RNNs, Transformers).
- Experience with big data technologies (e.g., Apache Spark, Hadoop) and distributed computing frameworks.
- Proficiency in SQL for data manipulation, extraction, and database interaction.
- Excellent problem-solving, analytical, and critical thinking skills with a proven ability to translate complex data into actionable insights.
- Ability to communicate complex technical concepts effectively to both technical and non-technical audiences.
- Minimum of 5 years of professional experience in data science or a related AI/ML role.
Preferred Qualifications
- Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related quantitative field.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) for ML model development, deployment, and management.
- Familiarity with MLOps practices, tools, and principles for reproducible and scalable ML workflows.
- Track record of publications in relevant AI/ML conferences or journals.
- Domain experience in specific industries such as financial services, healthcare, retail, or manufacturing.
Perks & Benefits
- Comprehensive health, dental, and vision insurance coverage.
- Generous paid time off, including vacation, sick leave, and holidays.
- Full visa sponsorship and comprehensive relocation assistance to St. Albert, Canada.
- Professional development opportunities, including training programs, conferences, and tuition reimbursement.
- Employee stock purchase plan and robust retirement savings programs.
- Access to on-site gym facilities and various wellness programs.
- A collaborative, innovative, and inclusive work environment with opportunities for global impact.
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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