Senior Machine Learning Engineer

Job Title: Senior 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 seeking an experienced Senior Machine Learning Engineer to lead the design, development, and deployment of advanced machine learning models that solve complex, real-world challenges in the Workforce Management domain. In this role, you will shape technical strategy, mentor team members, and collaborate with cross-functional stakeholders to deliver scalable, production-ready solutions that drive measurable business outcomes.

Key Responsibilities:

• Architect and build robust machine learning models for a variety of business use cases

• Design and optimize scalable data pipelines for preprocessing, feature engineering, and model training

• Drive technical strategy and architectural decisions for ML systems

• Mentor junior engineers and guide best practices in modeling, coding, and deployment

• Collaborate cross-functionally with product, engineering, and analytics teams to translate business goals into ML solutions

• Deploy, monitor, and maintain models in production environments

• Evaluate emerging technologies, tools, and methodologies in machine learning and AI

• Drive experimentation, tuning, and model performance optimization

• Integrate ML systems into existing platforms and ensure system reliability and scalability

• Establish documentation standards and contribute to knowledge sharing
  

Qualifications:

• Master’s degree in Computer Science, Machine Learning, Data Science, or a related field (Ph.D. preferred)

• 5+ years of hands-on experience developing and deploying ML models in production

• Proficiency in Python (preferred), R, or C++

• Deep experience with ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)

• Strong understanding of data structures, algorithms, and software engineering fundamentals

• Proven experience with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes)

• Excellent communication, leadership, and mentoring skills

• Strong track record of owning and delivering complex technical projects
  

Preferred Skills:

• Expertise in one or more domains: time series forecasting, NLP, computer vision, or reinforcement learning

• Experience with MLOps tooling (MLflow, Kubeflow, SageMaker, etc.)

• Familiarity with big data technologies (Spark, Hadoop, Kafka)

• Experience developing APIs for model inference and integration

• Solid background in statistical analysis, experimental design, and visualization

• Prior experience leading technical teams or initiatives
  

Why Join Us?

• Work on high-impact, cutting-edge projects

• Be part of a supportive and innovative culture

• Competitive salary and comprehensive benefits

• Opportunities for continuous learning and professional growth

• A team driven by excellence, innovation, and collaboration