Responsibilities
- Design, develop, and deploy machine learning models for predictive analytics, classification, regression, clustering, and forecasting applications.
- Build scalable machine learning pipelines using Python, PySpark, and cloud-based technologies.
- Perform feature engineering, model evaluation, and optimization using structured and unstructured data.
- Develop production-ready AI and machine learning solutions that integrate with enterprise software platforms.
- Partner with Product Management, Engineering, and business stakeholders to translate business challenges into data-driven solutions.
- Analyze large datasets to identify trends, patterns, and opportunities that improve operational performance and customer outcomes.
- Develop dashboards, visualizations, and analytical tools that communicate insights to technical and non-technical audiences.
- Evaluate emerging machine learning and AI technologies and recommend improvements to existing solutions.
- Support production model monitoring, performance measurement, and continuous model improvement.
- Mentor junior team members and contribute to a collaborative, innovation-driven environment.
Qualifications
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related discipline.
- 5+ years of professional experience developing machine learning solutions in production environments.
- Strong experience with Python and PySpark.
- Hands-on experience with Azure Databricks or similar large-scale distributed data processing platforms.
- Experience building and deploying end-to-end machine learning solutions.
- Strong understanding of statistical modelling, regression, classification, clustering, and predictive analytics.
- Experience with time-series forecasting is highly desirable.
- Familiarity with TensorFlow, scikit-learn, MLflow, Spark MLlib, or similar machine learning frameworks.
- Experience working with cloud platforms such as Azure, AWS, or Google Cloud Platform.
- Strong SQL and data engineering skills.
- Excellent communication skills with the ability to explain technical concepts to business stakeholders.
Preferred Experience
- Experience with Natural Language Processing (NLP) or Generative AI.
- Experience supporting production MLOps environments, CI/CD, and model monitoring.
- Background working with large-scale enterprise or IoT datasets.
- Experience collaborating across Engineering, Product Management, and Analytics teams.
Why Apply?
- Join a global technology organization investing heavily in AI and machine learning.
- Work on meaningful, production-scale machine learning initiatives.
- Collaborate with experienced engineering, product, and analytics teams.
- Competitive compensation, annual bonus, and comprehensive benefits.
- Hybrid work environment with opportunities for continued professional growth.
Compensation: $145,000–$150,000 USD + Bonus
Advanced Technology Search Group specializes in recruiting engineering and technical talent across North America, supporting companies in sectors such as enterprise software, robotics, semiconductor, medtech, and advanced manufacturing.
