Systems Engineer - Specialized (CAN)Mindlance • Markham, ON

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Systems Engineer - Specialized (CAN)

Mindlance • Markham, ON

Il y a 5 jours

Type de contrat

Temps plein

Description de poste

ML / AI SYSTEMS DESIGN ENGINEER

Top Skills :

AI development skill, Team player, Good collaboration skills, self-starter
Can lead and drive projects independently

THE ROLE :

We are looking for a dynamic, energetic experienced Systems Design Engineer to join our growing team. As a key contributor to the success of product, you will be part of a leading team to drive and improve abilities to deliver the highest quality, industry leading technologies to market. The Validation Architecture team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development.

THE PERSON :

As a Systems Design Engineer ML / AI, you will drive balanced, scalable AI / ML validation solutions. In this high visibility position, your design and implementation will be necessary towards product development, definition, and root cause resolution.

KEY RESPONSIBILITIES :

Driving technical innovation to improve ML / AI capabilities across validation, technical and procedural methodology enhancement, and various internal and cross- functional technical initiatives

Designing and implementing machine learning models and algorithms to solve complex problems

Monitoring and evaluating the performance of AI / ML models and making necessary improvements

Documenting processes, models, and algorithms for future reference

Collaborating with cross-functional teams to integrate AI / ML solutions into various applications

PREFERRED EXPERIENCE :

Proficiency in system design, development, and validation methodologies

Deep understanding of relevant regulations, standards, and best practices

Experience with machine learning algorithms and frameworks (, TensorFlow, PyTorch)

Proficiency in data analysis and modeling techniques

Ability to develop and implement AI / ML models for system validation and optimization

Knowledge of AI / ML best practices and industry standards

Experience with AI / ML tools and libraries

Strong understanding of neural networks and deep learning techniques

Ability to work with large datasets and perform data preprocessing and feature engineering

Hands on experience designing and implementing LLM powered agents and Retrieval Augmented Generation (RAG) pipelines, including prompt orchestration, tool calling, vector store indexing strategies, and evaluation of end to end agentic workflows

Experience in integrating AI / ML solutions into existing systems and workflows

Strong analytical / problem-solving skills and pronounced attention to details

Must be a self-starter, and able to independently drive tasks to completion

ACADEMIC CREDENTIALS :

Bachelors or Masters degree in electrical or computer engineering

EEO :

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Systems Engineer Specialized CAN • Markham, ON

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