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    Home/Jobs/Sr. Engineer, Machine Learning

    Sr. Engineer, Machine Learning

    Dayforce

    United States
    6+ years
    33 days ago
    ₹18–35 LPA
    Full-time
    Remote

    Skills Required

    Python
    TensorFlow
    PyTorch
    Keras
    Scikit-learn
    React
    Flask
    FastAPI
    GraphQL
    PySpark
    SQL
    Delta Tables
    AWS
    Azure
    GCP

    Description

    We are seeking an experienced and talented Senior Machine Learning Engineer to join our ML team. As a Senior Machine Learning Engineer, you will work on delivering ML components for innovative products such as Dayforce AI Assistant and Dayforce Agents. This role involves rapidly designing, implementing, evaluating, and maintaining machine learning models, algorithms, APIs, and software systems in a fast succeed/fast fail environment.

    Company: Dayforce

    Role: Sr. Engineer, Machine Learning

    Location: Remote work in the United States

    Experience:

    • 6+ years of overall software development experience
    • 2+ years of experience in machine learning and AI software development

    Qualification:

    • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Statistics, or a related field

    Role Focus: • Design, develop, and implement machine learning models, algorithms, and API services • Develop full-stack solutions including frontend, middle-tier, and backend components • Apply machine learning techniques to large datasets to identify trends, patterns, and actionable insights • Collaborate with cross-functional teams to prototype and productionize AI-driven solutions • Prepare, clean, and preprocess large-scale datasets • Evaluate and optimize machine learning models for accuracy, efficiency, scalability, and bias mitigation • Manage end-to-end machine learning pipelines • Deploy and integrate machine learning models into production environments

    Additional responsibilities:

    • 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

    Nice to have:

    • 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

    More skills:

    MSSQL, NoSQL

    Other:

    • Excellent time away from work programs
    • Comprehensive wellness initiatives
    • Competitive pay and benefits
    • Volunteer days
    • Charity, Dayforce Cares

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Deep Neural Networks with PyTorch

    Coursera

    Hands-on PyTorch from tensors to CNNs and transfer learning.

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