Full-Time Machine Learning Engineer

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.

Accelerate Your Career as You:

• 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.

A Bit About You

Minimum Qualifications:

• 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.

Preferred Qualifications: 

• Experience in the healthcare or pharmaceutical industry.
• Knowledge of healthcare data standards (FHIR, HL7, NCPDP etc) and regulatory (e.g., HIPAA).
• Experience with big data technologies such as Snowflake, BigQuery, or similar.
• Familiarity with natural language processing (NLP) and computer vision techniques.

Additional Physical Job Requirements

• 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.