Machine Learning Engineer

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