Note: The job is a remote job and is open to candidates in USA. Dayforce is a global human capital management company headquartered in Toronto and Minneapolis, offering a unified Cloud HCM platform. They are seeking a Senior Machine Learning Engineer to design and implement machine learning models and algorithms, contributing both as a hands-on engineer and a technical leader.
Responsibilities
- Design, develop, and implement machine learning models, algorithms, and API services that meet business needs and requirements
- Develop full-stack solutions including frontend, middle-tier, and backend components using technologies such as React, Python, SQL, Delta Tables, GraphQL, and PySpark
- Apply machine learning techniques to large datasets to identify trends, patterns, and actionable insights
- Collaborate with cross-functional teams including software developers, data scientists, data engineers, and domain experts to prototype and productionize AI-driven solutions
- Prepare, clean, and preprocess large-scale datasets to ensure high data quality and suitability for training ML models
- Evaluate and optimize machine learning models for accuracy, efficiency, scalability, and bias mitigation
- Identify and analyze potential biases in datasets, features, and model predictions, implementing fairness and mitigation strategies where appropriate
- Manage end-to-end machine learning pipelines, from data preprocessing and feature engineering through training, deployment, monitoring, and continuous improvement
- Deploy and integrate machine learning models into production environments and implement monitoring systems for usage, performance, and feedback collection
- Develop and maintain ML software systems, reusable libraries, testing frameworks, and automated test suites
- Participate in research and development of emerging machine learning and AI technologies
- Mentor junior engineers and contribute technical leadership within the team
- Stay current with advancements in machine learning, AI technologies, cloud infrastructure, and software engineering best practices
Skills
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Statistics, or a related field. Equivalent practical experience will also be considered
- 6+ years of overall software development experience
- 2+ years of experience in machine learning and AI software development
- Strong programming experience in Python and machine learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn
- Experience building APIs and backend services using frameworks such as Flask or FastAPI
- Experience with frontend development using React
- Strong understanding of supervised and unsupervised learning, deep learning, reinforcement learning, NLP, ensemble methods, and ML fundamentals
- Familiarity with AI fairness concepts and bias detection/mitigation techniques
- Experience with cloud platforms such as AWS, Azure, or GCP and their machine learning services
- Experience working with relational and non-relational databases, including MSSQL, NoSQL, Delta Tables, and related technologies
- Strong understanding of data structures, algorithms, design patterns, and scalable software architecture
- Experience with CI/CD pipelines, Docker containers, and cloud-based ML deployment workflows
- Strong analytical, problem-solving, and critical-thinking skills
- Excellent communication and collaboration skills, with the ability to explain complex technical concepts to technical and non-technical stakeholders
- Experience with data visualization, feature engineering, and data manipulation techniques
- Practical experience detecting and mitigating model bias using fairness-aware ML techniques
- Experience building and deploying ML-powered products in production environments
- Experience with AWS cloud infrastructure and tooling
- Contributions to open-source ML projects or a portfolio of previous ML work
Benefits
- Excellent time away from work programs
- Comprehensive wellness initiatives
- Recognition through competitive pay and benefits
- Volunteer days
- Opportunities for you to thrive both in your career and personal life
Company Overview