Applied Machine Learning Engineer

$100,000 - $115,000/Yr

Design Pickle - Phoenix, AZ

posted 7 days ago

Full-time - Mid Level
Remote - Phoenix, AZ
Professional, Scientific, and Technical Services

About the position

Design Pickle is seeking an experienced Applied Machine Learning Engineer to enhance our creative platform by developing AI-driven applications and data solutions. This role involves building and maintaining data pipelines and models to support decision-making and actionable insights, with a focus on generative AI applications. The ideal candidate will possess a blend of data science and software engineering skills, enabling them to create scalable and flexible solutions while mentoring team members and collaborating across departments.

Responsibilities

  • Rapidly conceptualize, develop, and deploy web applications that are data-driven and leverage AI.
  • Utilize Python data science libraries such as Pandas and Scikit to process, analyze, and transform data for AI applications.
  • Design, implement, and integrate production-grade generative AI APIs into applications.
  • Mentor and provide technical guidance to team members in data-centric roles.
  • Apply AI prompt engineering techniques to enhance model performance.
  • Architect and deploy scalable data solutions supporting AI models and products.
  • Balance rapid prototyping with production-grade development.
  • Collaborate closely with cross-functional teams and communicate technical insights effectively.
  • Maintain an up-to-date knowledge of emerging AI tools and technologies.

Requirements

  • 3+ years of experience in data science and web application software engineering.
  • 2+ years in building full stack applications to prove out concepts and prototypes.
  • 2+ years of experience building out AWS Ops architecture.
  • Ability to communicate proactively and cross-functionally with audiences of varying technical ability.
  • Proficiency in Python for data analysis and machine learning.
  • Familiarity with Pandas and Scikit, and other data science libraries.
  • Proficiency with Snowflake, including data integration and leveraging these within machine learning workflows.
  • Knowledge of implementing and integrating generative AI models and APIs.
  • Experience with Gen AI prompt engineering and prompt optimization.
  • Strong problem-solving and critical thinking skills.
  • Excellent communication and collaboration abilities.

Nice-to-haves

  • BA/BS in Computer Science or related STEM field.
  • Knowledge of containerization and deployment using tools like Docker and Kubernetes.
  • Passion for staying up-to-date with the latest advancements in AI and ML.
  • Experience with Ruby on Rails backends and React.js.

Benefits

  • Uncapped PTO
  • Major medical healthcare including Dental and Vision insurance
  • Remote-work flexibility
  • 401K with company match
  • New parent leave for up to 8 weeks at full salary
  • Short Term/Long Term Disability Options
  • Remote Work & Wellness Stipends
  • Pet insurance through United Pet Care
  • Team retreats, social events, and adventures
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