Software Engineer II – Machine Learning

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3 days ago

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TCP Software

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HR Tech • SaaS

TCP Software is a provider of employee scheduling, time & attendance, and workforce management solutions. Its product portfolio includes SaaS platforms (TimeClock Plus, Humanity Schedule, Aladtec, Humanity Time, ScheduleAnywhere) plus time clock hardware and integrations with ERP/HCM/payroll systems. TCP focuses on automating scheduling and time tracking to improve payroll accuracy, compliance, and labor cost management for organizations of varying sizes across industries such as education, public safety, healthcare, retail, hospitality, and manufacturing.

501 - 1000 employees

Founded 1988

👥 HR Tech

☁️ SaaS

📋 Description

• - Train and deploy production-level machine learning models focused on: • - Forecasting • - Anomaly Detection • - Event Prediction • - Develop and implement machine learning algorithms, ensuring their scalability, performance, and robustness. • - Create agentic language model based user experiences. • - Work with large datasets, process and analyze data using tools like Pandas and Numpy. • - Use modern deep learning frameworks such as Pytorch to implement and optimize models. • - Integrate machine learning models into the company’s Time and Attendance and Employee Scheduling software. • - Collaborate with cross-functional teams to solve complex business challenges through AI/ML solutions. • - Optimize and fine-tune models for performance in real-world production environments.

🎯 Requirements

• - 2+ years of experience in training and deploying production models; • - 2+ years of experience with the following libraries: ** • - Pytorch • - Pandas • - Numpy ** • - Hands-on experience with language models; • - Solid understanding of the following model architectures: • - Transformers • - RNN (Recurrent Neural Networks) • - S4 | Mamba • - LSTM (Long Short-Term Memory Networks) • **Strongly Encouraged: ** • - Familiarity with advanced machine learning concepts, including: • - State Space Modeling (S4, Mamba) • - Hidden Markov Models (HMMs) • - BEAM Search • - Human Feedback Reinforcement Learning (RLHF) • - Relationship Graph Theory • - Automatic Prompt Optimization • - Worked on language model user experiences using: • - DSPy • - LangChain

🏖️ Benefits

• - Full remote work, with the option to work from the office, based on personal preference. • - Personalised and individual benefits plan. • - Competitive salary based on experience. • - Voluntary Health insurance plan. • - International working environment. • - 8 hours to volunteer and impact the community. • - The work/life setup you need to be successful. • - The opportunity to work with amazing talent in a fast-growing company that really values their team.