Machine Learning Engineer, Alto Pharmacy

• Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field
• 5+ years of experience in machine learning, data science, applied science engineering or a related field
• Proven track record of deploying ML models in production environments at scale
• Strong programming skills in Python, R, or a similar language
• Experience with ML frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn
• Proficiency in data manipulation and analysis using SQL, Pandas, or similar tools
• Experience in designing, training, deploying, and scaling models on Cloud (AWS, GCP, or Azure) leveraging toolkits such as Kubeflow
• Excellent problem-solving skills and a strong analytical mindset
• Strong written and verbal communication skills with the ability to break down complex technical concepts
• Reading English, comprehending, and following simple oral and written instructions
• The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. Assessing the accuracy, neatness and thoroughness of the work assigned
• Expressing or exchanging ideas by means of the spoken word; those activities where detailed or important spoken instructions must be conveyed to other workers accurately, loudly, or quickly
• Perceiving the nature of sounds at normal speaking levels with or without correction, and having the ability to receive detailed information through oral communication, and making fine discriminations in sound
• Frequent repeating motions required to operate a computer or phone that may include the wrists, hands and/or fingers
• Environmental Conditions: occasional exposure to low temperatures or high temperatures, outdoor elements such as precipitation and wind, and noisy environments
• Occasionally ascending or descending stairs, ramps and the like
• Moving about to accomplish tasks and/or moving from one worksite to another
• Adjusting or moving objects up to 20 pounds in all directions
• Operating motor vehicles
• Occasional sedentary work that primarily involves sitting/standing/driving/flying

Desirable

• As a Machine Learning Engineer at Alto Pharmacy, you will play a pivotal role in designing, developing, and deploying ML models that drive our business forward
• You will collaborate with cross-functional teams, including product, engineering, data science, and operations, to integrate ML solutions into our products and services
• Your expertise will help us harness the power of data to improve patient outcomes, optimize operations, and enhance the overall pharmacy experience
• Alto is actively seeking candidates who are interested in solving challenging problems using latest developments in Large Language Models and Artificial Intelligence (AI)
• We are looking for a talented AI and Machine Learning (ML) engineer with a solid background in the design and development of scalable AI and ML systems and services, deep passion for building ML-powered products, a proven track record of executing complex projects, and delivering high business and customer impact
• Your contributions will be instrumental to tackle staffing challenges within Alto's pharmacies
• This role will provide exposure to state-of-the-art innovations in AI/ML systems (including GenAI)
• Technologies you will have exposure to, and/or will work with, include a SageMaker, and Foundational Models such as Anthropic’s Claude / Mistral, among others
• The types of initiatives you can expect to work but not limited to include:
• Developing personalized recommendation systems
• Building AI Assistant tools that have cross-company user adoption
• Leadership and Strategy:
• Develop and drive the ML strategy across the organization
• Advocate for and guide the adoption of ML technologies and best practices
• Mentor and provide technical leadership to junior ML engineers and data scientists
• Model Development and Deployment:
• Design, build, and deploy scalable ML models for various applications, such as personalized patient care, predictive analytics, and operational efficiency
• Ensure models are robust, efficient, and maintainable
• Collaborate with software engineers to integrate ML models into production systems
• Data Management and Analysis:
• Work closely with the data engineering team to ensure the availability of high-quality data for model training and evaluation
• Perform data exploration, cleaning, and preprocessing
• Conduct rigorous testing and validation of ML models
• Cross-Functional Collaboration:
• Partner with product managers to identify opportunities for ML to solve business problems and improve patient outcomes
• Collaborate with clinical and operations teams to ensure ML solutions align with business needs and regulatory requirements
• Communicate complex ML concepts and results to non-technical stakeholders
• Research and Innovation:
• Stay up-to-date with the latest advancements in ML and AI
• Experiment with new algorithms, tools, and techniques to improve existing models and explore new applications
• Contribute to the company's intellectual property through patents and publications

• Application deadline: October 15, 2024