Senior Machine Learning Engineer

The Learning Experience #328; Saskatoon; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading company in geospatial technology is seeking a Senior Machine Learning Engineer to develop and implement advanced AI models. The ideal candidate will possess strong technical expertise, leadership skills, and a passion for innovation. This role involves designing machine learning algorithms, analyzing data, and collaborating with teams to integrate solutions into production systems.

Benefits

Competitive salary and benefits package

Opportunities for professional growth

Collaborative work environment

Access to latest tools and technologies

Qualifications

• At least 5 years of experience in machine learning or AI methodologies.
• Minimum of 3 years developing machine learning models.

Responsibilities

• Lead the design and deployment of machine learning models.
• Analyze large datasets for training data creation.
• Collaborate with cross-functional teams for model integration.

Skills

Python

Machine Learning

Deep Learning

Problem Solving

Communication

Education

Bachelor’s or master’s degree in Computer Science

Ph.D.

Tools

TensorFlow

PyTorch

Hadoop

Spark

AWS

Azure

Job description

Job Title : Senior Machine Learning Engineer

Company : Super GeoAI Technology Inc.

About Us :

Super GeoAI Technology Inc. (SGA) is a pioneering force in the field of geospatial technology and artificial intelligence. Our mission is to transform industries through the integration of advanced AI and geospatial solutions. We are seeking an experienced Senior Machine Learning Engineer to join our innovative team and contribute to the development of state-of-the-art AI models and applications.

Job Description : Position Overview :

We are looking for a highly skilled and experienced Senior Machine Learning Engineer to lead the development and implementation of our machine learning models. The successful candidate will have a deep understanding of machine learning algorithms, data processing techniques, and the ability to translate business requirements into technical solutions. This role requires strong technical expertise, leadership abilities, and a passion for innovation.

Key Responsibilities :

• Lead the design, development, and deployment of machine learning models and algorithms.
• Analyze and preprocess large datasets to create high-quality training data.
• Develop, implement, and optimize machine learning algorithms to solve complex problems.
• Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to integrate machine learning models into production systems.
• Evaluate and compare model performance using various metrics and improve model accuracy and reliability.
• Conduct code reviews, provide mentorship, and guide junior engineers in best practices.
• Stay current with the latest advancements in machine learning technology and industry best practices.

Qualifications :

• Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus.
• At least 5 years of working experience in computer vision, deep learning, machine learning, or AI methodologies.
• Contributions to esteemed journals and conferences (e.g., ICCV, CVPR).
• Minimum of 3 years of experience in developing commercially successful mobile and / or cloud applications.
• A minimum of 3 years of hands-on experience developing machine learning models.
• Proficiency in Python, TensorFlow, PyTorch, and / or other ML languages and frameworks.
• Strong understanding of machine learning algorithms, statistical methods, and data processing techniques.
• Experience with big data technologies such as Hadoop, Spark, and cloud platforms (e.g., AWS, Azure).
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work effectively in a team environment.

Preferred Qualifications :

• Knowledge of deep learning techniques and applications.
• Experience with computer vision and natural language processing (NLP).
• Experience with geospatial data and geographic information systems (GIS).

What We Offer :

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and innovative work environment.
• Access to the latest tools and technologies.

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