Job Title: Machine Learning Engineer About Aspect Software: Aspect Software develops world-class Workforce Engagement Management software that empowers the Employee to reach their highest potential to achieve operational excellence. We are committed to fostering a collaborative and dynamic work environment where cutting-edge technology and creative problem-solving converge. Join us as we shape the future of intelligent workforce systems. Position Overview: We are looking for a skilled and motivated Machine Learning Engineer to join our growing team. In this role, you’ll design, develop, and deploy machine learning models to solve real-world problems—particularly in the Workforce Management domain. You’ll collaborate with data scientists, software engineers, and product managers to deliver scalable, production-ready ML solutions. Key Responsibilities: Design, develop, and optimize machine learning models for business-critical use cases Build reliable data pipelines for data cleaning, feature engineering, and model training Collaborate with cross-functional teams to translate business needs into technical solutions Deploy and maintain ML models in production, ensuring reliability and performance Monitor model performance and implement ongoing improvements Conduct research and stay current on advancements in ML/AI Work with engineering teams to integrate ML models into production systems Maintain clear documentation for processes, tools, and methodologies  Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field 2–4 years of hands-on experience developing machine learning models, including production deployment Proficient in Python (preferred), R, or C++ Experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) Solid grasp of data structures, algorithms, and software engineering fundamentals Familiarity with cloud platforms (AWS, Azure, GCP) and container tools (Docker, Kubernetes) Strong problem-solving skills and attention to detail Effective communication and collaboration skills  Preferred Skills: Some experience with time series processing, natural language processing (NLP), computer vision, or reinforcement learning Basic knowledge of MLOps practices and tools Familiarity with big data technologies like Hadoop, Spark, or Kafka Experience in developing APIs for model deployment Background in statistical analysis and data visualization  Why Join Us? Work on impactful and challenging projects that make a difference Be part of a collaborative and inclusive culture Enjoy competitive compensation and benefits Access professional development and growth opportunities Join a team passionate about innovation and excellence