Machine Learning Engineer II at Lessen

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Lessen

Machine Learning Engineer II

us flag
United States

110k - 135k USD

On-site

Full Time

#Technology

#Engineering

#Machine Learning

#Deep Learning

#Data Science

#SQL

#Python

#ETL

#PyTorch

#Cloud

#Natural Language Processing

Lessen is looking for a Machine Learning Engineer II

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Are you ready to push the boundaries of artificial intelligence and help us build the next generation of intelligent systems? We are looking for a passionate professional to join our Technology Team, where we prioritize creating industry-leading machine learning processes that give our company a distinct competitive edge. By joining our group, you will play a vital role in developing innovative tools that solve complex, real-world challenges through the power of advanced data science.

What you bring

As a Machine Learning Engineer II, you will operate in a mid-level, full-time capacity based on-site in the United States. Your daily work will center on leveraging deep learning and data science to drive efficiency across our proprietary platforms. Your core responsibilities include the following:

  • Designing, deploying, and fine-tuning large language models while developing advanced prompting strategies to meet specific business needs.
  • Enhancing our data quality by cleaning existing datasets and integrating information from new, diverse sources.
  • Translating complex business requirements into scalable AI solutions, such as intelligent voice assistants and automated work order processing systems.

Requirements

To succeed in this role, you should possess a strong foundation in mathematics and statistics, supported by a Master’s or PhD in a field such as Computer Science, Math, Physics, or Statistics. We are looking for candidates with one to three years of experience as a data scientist who can demonstrate advanced technical proficiency. You must be comfortable working with Python and SQL, and you should have hands-on experience with machine learning frameworks like PyTorch or scikit-learn. Additionally, your background should include familiarity with cloud platforms like AWS, Azure, or GCP, as well as experience in natural language processing, ETL tools, and big data technologies like Spark or Hadoop. We value individuals who are collaborative, detail-oriented, and capable of maintaining the highest standards of data integrity.

What we offer

We provide a competitive annual salary range of $110,000 to $135,000. Please note that final compensation is determined based on a variety of factors, including your specific skill level, relevant qualifications, and work location.

How to Apply

If you are excited about the prospect of building scalable AI solutions and working within a dynamic, cross-functional team, we would love to hear from you. Please submit your application to be considered for this position, and we look forward to reviewing your background and discussing how your expertise can contribute to our ongoing success.

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