Machine Learning Engineer

2 weeks ago

Calgary, Canada Hammehr Talent Consultants Full time

Job Title: Machine Learning Engineer

Location: Calgary (Hybrid Flexibility)

Duration: Permanent, Full-time

Salary: Up to $100k + Comprehensive Benefits, Bonus, RRSP


Position Overview

Hammehr Talent Consultants is thrilled to assist our client in the tech sector in recruiting a Machine Learning Engineer. This critical role involves the creation and implementation of machine learning models that improve energy management systems, functioning across both localized devices and cloud platforms.


What You'll Do (Responsibilities)

  • Innovate and advance in the fields of machine learning and predictive analytics to project trends in energy utilization and solar output.
  • Construct predictive services that merge both historical and real-time data, selecting optimal features and modeling techniques to enhance system efficacy and expandability.
  • Engage collaboratively with software development teams to incorporate machine learning functionalities into operational systems situated on both tangible and virtual infrastructures.
  • Apply MLOps strategies to streamline the management and deployment of machine learning models and associated data structures effectively.
  • Formulate algorithms for optimizing the performance of energy storage solutions, boosting their efficiency and reliability.
  • Engage in substantial technical exchanges, brainstorm innovative approaches, and showcase new solutions to the team.


Basic Requirements (Must Have)

  • Holds at least a Bachelor’s degree in Computer Science, Mathematics, or a related technical discipline with hands-on coding experience.
  • Experience utilizing machine learning methodologies in a professional or academic setting.
  • Skilled in Python, with some experience in TypeScript or JavaScript considered beneficial.
  • Practical experience with machine learning frameworks such as scikit-learn, pandas, TensorFlow.
  • Proficient in the use of MLOps tools like MLFlow, Kubeflow, Flyte for model management.
  • Solid understanding of Linux


Preferred Qualifications (Nice to Have)

  • Background in modeling and optimizing systems.
  • Knowledge of distributed computing architectures and cloud solutions.
  • An advanced degree in a relevant field.


The Challenges

  • Pioneering solutions at the nexus of machine learning and energy technology to drive forward advancements in energy storage and solar efficiency.
  • Navigating the complexities of evolving prototypes into fully operational, scalable systems across diverse environments.


Your Impact

As a Machine Learning Engineer, you will play a pivotal role in the effective management and enhancement of energy resources. Your contributions will significantly boost the performance and capabilities of our client’s products, impacting their offerings in the renewable energy landscape.

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