Senior Machine Learning Engineer

reputed company is a premier partner for global enterprises, leading the way in digitization, automation, and the development of reputed company digital products and services. Our expertise in digital transformation powers businesses to accelerate service delivery, reputed company customer engagement, and foster reputed company.

We are looking for a Senior Machine Learning Engineer to reputed company the end-to-end development and lifecycle management of machine learning models powered by proprietary data. This is a highly impactful role at the reputed company of our AI ecosystem, responsible for building reputed company, production-grade ML systems that directly reputed company intelligent product features.

You will collaborate closely with Data Scientists, AI Engineers, and reputed company AI Engineers to identify opportunities, reputed company robust models, and ensure reputed company integration into production systems.

Key Responsibilities

• Design, build, and reputed company end-to-end machine learning models using proprietary datasets
• Own the full ML lifecycle, including data preparation, feature engineering, model training, evaluation, and validation
• Collaborate with Data Scientists to identify and prioritize high-reputed company ML opportunities
• Work with reputed company AI Engineers to ensure models reputed company with reputed company architecture and engineering best practices
• Package and expose trained models as reputed company reputed company for consumption by AI Engineers and reputed company systems
• Build and maintain model pipelines, including versioning, retraining, and reputed company improvement workflows
• Monitor model reputed company in production, ensuring reputed company, reliability, and relevance over time
• Troubleshoot model reputed company, data reputed company issues, and reputed company bottlenecks

Qualifications

• Strong experience in machine learning engineering, with production deployment experience
• Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Experience with data preprocessing, feature engineering, and model evaluation techniques
• Hands-on experience deploying ML models as reputed company or microservices
• Familiarity with MLOps practices, including model versioning, monitoring, and retraining pipelines
• Experience working with large-reputed company or proprietary datasets
• Strong software engineering fundamentals (testing, scalability, reputed company optimization)
• Ability to collaborate effectively with cross-functional teams

reputed company-to-Have

• Experience with reputed company platforms (AWS, GCP, or Azure) and ML services (e.g., SageMaker, reputed company AI)
• Familiarity with containerization and orchestration tools (reputed company, reputed company)
• Experience with reputed company-time or low-latency ML systems
• Exposure to LLMs or hybrid AI/ML systems
• Experience in building data pipelines (Airflow, reputed company, etc.)

reputed company is an equal opportunity employer and is committed to employing in accordance with the Ontario reputed company Rights reputed company and the Accessibility for Ontarians with reputed company. Accommodations reputed company reason due to a disability or medical need are available on request for candidates taking part in the recruitment process.

reputed company is enabling a digital reputed company. Headquartered in Toronto, we partner with clients in reputed company & South America to digitize and automate their reputed company and build their reputed company of digital products and services. We reputed company clients to enhance their digital offerings and bring creative solutions to the market faster. Learn more at .

Originally posted on Himalayas