Senior Software Engineer, Machine Learning Remote : US / Canada, India, Worldwide All positions[...]

Observo; Toronto; Remote; CAD 100,000 - 120,000; Full time

Job summary

A leading AI technology firm in Toronto is seeking a Senior Software Engineer, Machine Learning. You will design advanced algorithms to enhance telemetry data analysis and anomaly detection. Ideal candidates have over 5 years of experience in machine learning, proficiency in Python, and familiarity with cloud platforms. This role offers competitive salary, stock options, and opportunities for career growth in a collaborative environment.

Benefits

Competitive salary and benefits

Opportunities for career growth

Stock options

Remote work flexibility

Qualifications

• 5+ years of experience in machine learning engineering.
• Proficiency in Python and machine learning frameworks.
• Experience with cloud platforms and real-time data processing.

Responsibilities

• Design, implement, and optimize machine learning models.
• Collaborate with teams to integrate solutions.
• Develop scalable pipelines for data processing.

Skills

Machine learning engineering

Python

TensorFlow

Real-time data processing

Anomaly detection

Problem-solving skills

Education

Bachelor’s or Master’s degree in Computer Science

Tools

TensorFlow

PyTorch

AWS

Azure

Google Cloud

Job description

Senior Software Engineer, Machine Learning

Full Time

About Us

Observo AI has pioneered an AI-powered telemetry data pipeline that extracts critical security data from various sources, transforming it into actionable insights. Our platform reduces noisy data volume by over 80%, helping to cut security costs by up to 50%. We enable faster detection and resolution of critical incidents, improving response times by 40%. Join our innovative team to make a significant impact in the security and analytics space.

Position Overview

We seek a highly skilled Senior Software Engineer, Machine Learning, to lead the development of machine learning models that enhance Observo AI’s platform. You will collaborate with data scientists, engineers, and product teams to design and implement advanced algorithms that improve telemetry data analysis, anomaly detection, and data stream processing, delivering increased value to our customers.

How to Apply

If you are an experienced machine learning engineer passionate about building innovative solutions, please submit your resume and a cover letter detailing your experience and fit for this role at [emailprotected].

Key Responsibilities

1. Design, implement, and optimize machine learning models for telemetry data analysis and anomaly detection.
2. Collaborate with cross-functional teams to integrate solutions into the platform.
3. Develop scalable pipelines for real-time data processing.
4. Research and experiment with new algorithms and techniques to enhance platform capabilities.
5. Improve model performance through tuning, feature engineering, and monitoring.
6. Work closely with product and engineering teams to align solutions with customer needs.
7. Provide technical leadership and mentorship to junior engineers.

Qualifications

• 5+ years of experience in machine learning engineering, especially in deploying models at scale.
• Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
• Experience with real-time data processing, anomaly detection, and predictive analytics.
• Ability to develop and optimize scalable machine learning algorithms.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Strong problem-solving skills and ability to work remotely in a fast-paced environment.

Preferred Qualifications

• Experience with telemetry data, security, or observability solutions.
• Familiarity with big data tools like Spark, Kafka, or Hadoop.
• Bachelor’s or Master’s degree in Computer Science, Data Science, or related fields.

What We Offer

• Competitive salary and benefits.
• Opportunities for career growth and advancement.
• Collaborative and innovative work environment.
• Stock options and remote work flexibility.

Additional Information

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