Senior Machine Learning Engineer

Perceptyx; Vancouver; Remote; CAD 170,000 - 195,000; Full time

Job summary

Perceptyx is seeking a Senior ML Engineer in Vancouver to enhance ML models and drive AI-driven innovations. The role involves developing NLP models, collaborating with engineers, and influencing ML roadmaps, offering an opportunity to make impactful contributions in a 100% remote position.

Benefits

Equitable pay practices

Transparency in compensation

Qualifications

• 5+ years in Machine Learning and NLP with a focus on production systems.
• Solid Python skills including Pandas, NumPy.
• Hands-on experience fine-tuning and deploying LLMs.

Responsibilities

• Develop and deploy NLP models for sentiment analysis and text classification.
• Build scalable ML pipelines using AWS services.
• Collaborate with other teams to integrate ML solutions.

Skills

Python

NLP

Machine Learning

AWS

SQL

ML model integration

Communication

Collaboration

Education

BA / BS in Computer Science, Machine Learning, Mathematics

MA / MS / PhD (preferred)

Tools

PyTorch

TensorFlow

Docker

Kubernetes

JupyterHub

Job description

• We welcome all individuals based in Vancouver, BC to apply. This job is 100% remote from this location.

Perceptyx is looking for a Senior ML Engineer with expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to join our growing team. In this role, you’ll collaborate with a small, highly skilled group of engineers and data scientists to enhance our ML models and drive AI-powered innovation.

You'll work closely with product, engineering, and design teams to bring intelligent features to life, shaping the future of our AI-driven solutions. As a senior team member, you'll have the flexibility to influence the ML roadmap , ensuring our models continuously evolve to provide value to enterprise customers and their users.

If you’re excited about designing and implementing an AI-centered vision , building cutting-edge ML solutions, and seeing your work have a real impact, we’d love to hear from you. Apply today and help us push the boundaries of what’s possible with AI.

• Develop, fine-tune, and deploy NLP models , including LLMs (OpenAI, Hugging Face), for sentiment analysis, text classification, and domain-specific applications.
• Train and optimize pre-trained language models using custom datasets to meet business needs.
• Build scalable ML pipelines using AWS (S3, SQS, EC2, Lambda) for training, inference, and monitoring.
• Prototype, experiment, and document models using JupyterHub / Notebooks, ensuring reproducibility.
• Apply MLOps best practices, including CI / CD, model monitoring, and automated retraining workflows.
• Deploy and manage containerized ML models using Docker and Kubernetes for efficient scaling.
• Collaborate with data engineers, software engineers, and product teams to integrate ML solutions.
• Stay ahead of NLP and deep learning advancements by applying cutting-edge techniques.
• Contribute to Agile development, participating in Scrum ceremonies.
• Maintain clear technical documentation and best practice guidelines.
• Share expertise through client consultations, technical blogs, whitepapers, and knowledge-sharing initiatives.
• Expand professional knowledge by attending conferences, workshops, and industry events.

Education / Desired Skillsets :

• If you don’t meet every qualification listed, we still encourage you to apply —your unique experience might be exactly what we need!
• Experience : 5+ years in Machine Learning and NLP , with a focus on production-grade systems .
• Education : BA / BS in Computer Science, Machine Learning, Mathematics, or a related field (MA / MS / PhD preferred).
• Technical Skills : Solid Python skills (Pandas, NumPy, PyTorch , Scikit-Learn, TensorFlow, Hugging Face).
• Hands-on experience fine-tuning and deploying LLMs (OpenAI, Hugging Face).
• Proficiency with SQL (Snowflake, MySQL) for large-scale datasets.
• Expertise in AWS (S3, SQS, EC2, Lambda) for scalable ML training and deployment .
• Experience with JupyterHub / Notebooks for prototyping and model development.
• ML model integration into APIs and microservices.
• Familiarity with vector databases and embedding-based retrieval.
• Experience with Docker, Kubernetes, and containerized ML deployments.
• Knowledge of distributed computing frameworks (Spark, Ray, Dask).
• Proficiency with ML tracking tools (MLflow, Weights & Biases).
• Soft Skills : Honesty and carries integrity to a high degree.
• Autonomous, action-oriented, and entrepreneurial mindset.
• Ability to translate technical needs into project plans and meet deadlines.
• Solid communication skills for both technical and non-technical audiences.
• Collaborative and open to working with diverse teams.
• Bonus Skill : Familiarity with Agentic workflows and / or modern AI agent development frameworks such as LangChain , AutoGen , OpenAI’s Assistants API, or others.

Compensation :

Perceptyx is focused on equitable pay for all our staff and aims for transparency with our pay practices. The annual salary range for the role is $170,000.00 – $195,000.00 CAD . The above range represents the expected base salary range for this position. The actual salary may vary based upon several factors, including, but not limited to, relevant skills / experience, time in the role, business line, and geographic / office location.

Benefits :

We Care About The Whole Person

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