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Principal AI / ML Engineer

Principal AI / ML Engineer

NxT LevelMinneapolis, MN, United States
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Our client is a digital consumer product. They're building social features using LLMs and Machine Learning to add to user experience. We're looking for a Principal Machine Learning Engineer to build AI features for the family.

Qualifications :

  • A confident craftsperson who possesses problem-solving tools and can discuss multiple approaches while preferring the best approach given the constraints.
  • A scientific artist and artistic scientist who can navigate complexity and bring clarity to intricate problems while appreciating simplicity as the highest sophistication.
  • A pragmatic optimizer who identifies the need for change, articulates it, and drives incremental improvements toward ambitious goals.
  • An advocate for team collaboration and open communication.
  • Possesses comprehensive knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and advanced NLP techniques.
  • Significant experience in AI / ML engineering with a strong data science background.
  • Demonstrated ability in designing and training LLMs.
  • Expertise in Databricks / Apache Spark for large-scale data processing in AI / ML applications.
  • Proficiency with AWS Bedrock and Comprehend.
  • Demonstrated leadership in AI / ML solutions in a commercial environment.
  • Proficiency in programming languages such as R, Python, and Java, with a focus on data exploration and processing.
  • Proven ability to lead and inspire teams of senior engineers and data scientists.
  • Effective individual contributor within a collaborative team environment.
  • Strong analytical, problem-solving, and communication skills.

Responsibilities :

  • Collaborate with the Data team to transform Data Lakehouse potential into actionable insights and services that enhance user experiences.
  • Shape AI / ML strategies, particularly in LLMs, to drive business outcomes and establish data science principles.
  • Implement technologies in AWS and Databricks for handling and processing large datasets for advanced language model training.
  • Lead data science practices, including model selection and training methodology.
  • Build, train, manage, and host LLMs using Data Lakehouse data.
  • Optimize AI system performance through testing and tuning, leveraging data science and Databricks methodologies.
  • Ensure ethical standards and data privacy compliance in AI solutions.
  • Provide specialized AI / ML expertise to guide the development and optimization of AI features.
  • Stay updated on the latest AI / ML and data science trends, especially in LLMs and AWS, Databricks / Apache Spark technology.
  • Benefits :

  • Full Medical Coverage : OFW covers 100% of premiums for employees and their families.
  • 401k : Up to a 4% match with immediate vesting.
  • 12 weeks of paid leave for all new parents.
  • Learning & Development stipend for employees.
  • Supportive and flexible working environment, allowing remote work from anywhere.
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