Machine Learning Engineer - Customer Insights & Market Intelligence

Omnicell - Austin, TX

Full-time - Mid Level

Hybrid - Austin, TX

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The ML Engineer for Customer Insights & Market Intelligence at Omnicell will be instrumental in developing and deploying advanced AI/ML solutions that enhance customer insights and market intelligence. This role involves collaborating with various stakeholders to translate business objectives into technical requirements, building predictive models, and shaping data for AI applications, all aimed at informing strategic decisions and improving product value.

Responsibilities

• Develop and deploy AI/ML models to build predictive insights, recommendations, and forecasting capabilities.
• Collaborate with stakeholders to understand business objectives and translate them into technical requirements.
• Build market models for Omnicell's product lines, including Total Addressable Market (TAM) and Serviceable Addressable Market (SAM) analyses.
• Track market share and competitive landscape across product segments.
• Stay updated on advancements in the ML space and identify opportunities to leverage new technologies.
• Prepare user, device, and services data for training, testing, and scoring with ML models.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, Math, or a related technical field.
• 8+ years of relevant software development experience.
• 5+ years of experience in building production-grade machine learning applications/systems.
• Proficiency in programming in Python and using tools/libraries/frameworks such as Spark, Pandas, Scikit-learn, PyTorch, TensorFlow, and Jupyter.
• Experience with ML Engineering tooling for data acquisition, cleaning, preparation, and feature engineering.
• Experience collaborating with market strategy teams and product management, with effective communication skills.
• Experience working with supervised and unsupervised machine learning models for regression, classification, forecasting, and anomaly detection.
• Experience in NLP, LLMs, and GenAI applications.

Nice-to-haves

• Experience building end-to-end scalable ML pipelines on-premise and/or in cloud platforms like AWS.
• Advanced SQL skills for data exploration.

Benefits

• Opportunity to contribute to a mission-driven company transforming the healthcare industry.
• Work with cutting-edge technology in AI/ML solutions.
• Collaborate with a talented team of experts.
• Continuous learning and development opportunities in AI/ML.