Senior Engineer - AI
Date: 1 Oct 2025
Location: Vancouver, CA, V7X 1L3
Company: Altimetrik
Design, implement, and optimize machine learning and deep learning models across supervised, unsupervised, and reinforcement learning domains.
Develop and deploy neural network architectures including CNNs, RNNs, Transformers, and large-scale generative AI models.
Build and fine-tune Generative AI models (GANs, VAEs, LLMs such as GPT).
Work on Agentic AI systems, including autonomous agents and multi-agent orchestration frameworks.
Drive data engineering and preprocessing pipelines, ensuring high-quality datasets for training and inference.
Apply MLOps best practices, including CI/CD for ML, model versioning, monitoring, and deployment using tools such as Docker and Kubernetes.
Collaborate with cross-functional teams to deliver scalable AI applications using frameworks like FastAPI, TensorFlow, PyTorch, scikit-learn, pandas, and NumPy.
Lead projects with strong problem-solving, innovation, and leadership skills, staying ahead of advancements in AI and ML research.
The ideal candidate is an experienced AI/ML professional with 6–12 years of hands-on expertise in Python, machine learning, and deep learning frameworks. They should have a proven track record of designing, deploying, and optimizing advanced models across supervised, unsupervised, and reinforcement learning domains.
They bring strong knowledge of deep learning architectures (CNNs, RNNs, Transformers) and Generative AI (GANs, VAEs, LLMs such as GPT), along with exposure to agentic AI systems and multi-agent orchestration. The candidate is equally skilled in data engineering and preprocessing as they are in building production-grade AI solutions using MLOps pipelines, Docker, and Kubernetes.
Proficiency in Python, with strong experience in data science and ML libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch, FastAPI).
Solid understanding of ML algorithms (supervised, unsupervised, reinforcement learning).
Hands-on expertise in deep learning architectures and large-scale generative models.
Familiarity with autonomous/agentic AI frameworks and multi-agent orchestration.
Strong foundation in data preprocessing, feature engineering, and handling large datasets.
Experience with MLOps pipelines, CI/CD, and containerization (Docker, Kubernetes).
Excellent leadership, communication, and problem-solving abilities.
Bachelor's degree in Computer Science or equivalent experienceCompany Profile
Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization’s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.
Altimetrik helps get companies get “unstuck”. We’re a technology company that lives organizations a process and context to solve problems in unconventional ways. We’re a catalyst for organization’s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable.
Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization’s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.
Altimetrik helps get companies get “unstuck”. We’re a technology company that lives organizations a process and context to solve problems in unconventional ways. We’re a catalyst for organization’s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable.
Job Description
Advanced Python Programming: Proficiency in Python, including libraries like NumPy, pandas, scikit-learn, TensorFlow, PyTorch, and FastAPI.
Machine Learning Algorithms: Strong understanding of supervised, unsupervised, and reinforcement learning algorithms, including their implementation and optimization.
Deep Learning Expertise: Experience with neural network architectures (CNNs, RNNs, Transformers) and frameworks like TensorFlow and PyTorch.
Generative Al Models: Knowledge of generative models such as GANs, VAEs, and large language models (LLMs) like GPT.
Agentic Al Development: Familiarity with autonomous agents, multi-agent systems, and frameworks for building agent-based Al systems.
Data Engineering and Preprocessing: Expertise in data cleaning, feature engineering, and working with large-scale datasets using Python tools.
MLOps and CI/CD Pipelines: Knowledge of MLOps practices, including model versioning, monitoring, and automating workflows and using containerization tools like Docker and Kubernetes
Problem-Solving and Leadership: Ability to lead teams, manage projects, and solve complex problems while staying updated with the latest advancements in Al and ML.
Education
Bachelor's degree in Computer Science or equivalent experience