At a Glance
- Tasks: Design and maintain scalable cloud infrastructure for cutting-edge AI systems.
- Company: Join TEEMA Solutions Group, a leader in innovative tech solutions.
- Benefits: Competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on continuous learning.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: 6+ years in software engineering with strong Python and GCP skills.
The predicted salary is between 108000 - 132000 $ per year.
We are seeking a Senior AI / ML Engineer with deep hands-on experience building Agentic AI systems and deploying production-grade machine learning applications at enterprise scale. This role focuses on designing high-performance cloud infrastructure, orchestrating ML workflows, and enabling scalable AI solutions.
Key Skills & Technical Requirements (Must-Haves)
- Senior-level, hands-on experience building Agentic AI systems using the LangGraph ecosystem (LangChain, LangGraph, LangServe, etc.)
- Proven track record delivering production-scale AI applications (not prototypes)
- Strong experience with Python, LLMOps, and AI orchestration frameworks
- Extensive hands-on experience with enterprise-scale AI/ML systems
- Solid knowledge of PyTorch and TensorFlow
- Familiarity with BigQuery, LangGraph, and LangChain
- Experience working with Kubernetes, Docker, and Cloud Composer
- GCP strongly preferred, though highly experienced senior engineers on other cloud platforms may be considered
Mandatory: At least 2 years of experience in retail or loyalty programs
What You Will Do
- Architect and maintain scalable cloud infrastructure using GCP services such as: BigTable, BigQuery
- Automate and orchestrate end-to-end ML workflows, including ingestion, feature engineering, model training, evaluation, and deployment
- Enhance platform usability and improve scalability for ML practitioners
- Optimize data pipelines for low latency and cost efficiency
- Implement monitoring, alerting, and disaster recovery mechanisms
- Continuously evaluate emerging technologies and improve engineering best practices
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline
- 6+ years of experience in software engineering, cloud infrastructure, data engineering, or ML platforms
- Strong hands-on experience with GCP tools, including: BigQuery, BigTable
- Expert-level Python skills (technical test will be in Python)
- Experience with Java or SQL for backend or data processing workflows
- Proficiency with workflow orchestration (e.g., Apache Airflow)
- Strong CI/CD and DevOps experience
- Proficiency with Docker and Kubernetes
Seniority level: Mid-Senior level
Employment type: Contract
Job function: Information Technology
Industries: Staffing and Recruiting
Machine Learning Engineer employer: TEEMA
As an Experienced HSE Advisor, you will thrive in a dynamic work environment that prioritizes safety and compliance across Alberta, Saskatchewan, and Manitoba. Our company fosters a collaborative culture where your expertise will be valued, offering ample opportunities for professional growth and development. With a commitment to continuous improvement and employee engagement, we ensure that your contributions make a meaningful impact on workplace safety and health.
