Senior Machine Learning Engineer

Ziphire.hr

About The Position

As a Senior Machine Learning Engineer, you will build, deploy, and optimize the machine learning services that power the client's platform. You will be the primary builder of robust ML subsystems, translating high-level requirements into production-ready code. This is a hands-on role where you will focus on the reliability, speed, and scalability of our AI solutions. You will take ownership of specific model pipelines, ensuring they are efficient, testable, and maintainable.

Requirements

5+ years of software development experience
3+ years in machine learning engineering
Expertise in 3+ areas of software development
Proven impact through applied ML
Ability to design modular software
Experience with large-scale services
Strong record of deploying models in production
Experience with production-grade infrastructure
5+ years of professional software development experience including system design, large-scale services, and production-grade infrastructure.
3+ years of hands-on experience in machine learning engineering or applied AI, with a strong record of deploying and maintaining models in production.
Technical subject matter expertise in 3+ general areas of software development (e.g., server, database, security, etc) including machine learning infrastructure.
Demonstrated ability to deliver significant, measurable real-world impact through applied ML.
Proven ability to design and write modular, performant, and easy to read software that solves complex business problems.
Proficiency in Python, TensorFlow/PyTorch, and scikit-learn.
Strong background in MLOps and data infrastructure (e.g., Airflow, Spark, feature stores, MLflow, data versioning).
Proven ability to deploy and maintain ML models in production with CI/CD, monitoring, and alerting.
Familiarity with cloud ML environments (AWS, GCP, or Azure) and containerization (Kubernetes, Docker).
Experience building or fine-tuning Large Language Models (LLMs) or generative models for structured business processes.
Experience with retrieval-augmented pipelines or feedback-driven model retraining.
Excellent technical communication and a product mindset—comfortable driving initiatives from concept to delivery.

Nice To Haves

Background in healthcare software operations, or financial automation.
Contributions to open-source ML infrastructure projects.
Published research or conference papers in machine learning, natural language processing, or applied AI
Experience leading AI reliability and observability initiatives — designing monitoring frameworks, drift detection, and alerting systems for multiple production models.

Responsibilities

Build, deploy, and optimize ML services
Write production-grade software for data ingestion
Implement CI/CD pipelines for model deployment
Construct and maintain data pipelines for training
Develop reusable software modules for the team
Translate business requirements into technical specs
Monitor performance of production models
Debug incidents and execute retraining workflows
Collaborate with Engineering and Product Managers
Estimate effort and flag technical risks

Benefits

In addition to our healthcare benefits, we also offer amazing perks! Need work from home basics? We offer a discount through Dell! We also offer a number of resources to help you keep your mind and body healthy. Check out Gympass for a great workout, or TelusEmployee Assistance Program to find mental health resources, along with other resources for everyday occurrences.
To assist with all of life's needs, our client also offers a wellness and childcare subsidy and a University/Education discount! We also offer a number of resources to help you keep your mind and body healthy. Check out Gympass for access to health and fitness apps, or Telus Employee Assistance Program to find mental health resources, along with other resources for everyday occurrences.
Performance Bonus

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