Description

Job Description

An up-and-coming Medical Device Company is seeking a Machine Learning Engineer to join their growing team in San Diego. In this position, you will be an individual contributor with a strong problem-solving mindset. You will be responsible for developing and implementing machine learning models as well as creating algorithms, particularly focused on time series data. You will also play a key role in educating the team on ML/AI best practices and bringing back actionable insights. Experience in the diabetes biomedical field will be a significant advantage.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .

   

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Skills and Requirements

Key Responsibilities:

  • Develop and Implement ML Models: Design, build, and deploy machine learning models, with a focus on time series data.

  • Algorithm Selection: Determine the appropriate ML algorithms to use for various problems and explain your choices.

  • Lead and Solve Problems: Demonstrate leadership by taking the initiative to solve complex problems and deliver real applications that provide value.

  • Knowledge Sharing: Educate team members on ML/AI concepts, including data cleaning, understanding, training, and deploying algorithms.

  • Python Development: Utilize Python as the primary programming language, leveraging relevant libraries and sub-libraries.

  • Model Deployment: Build, train, and test models in Python, and collaborate with team members to convert algorithms into C for integration into pump firmware.

Qualifications:

  • Experience: Proven experience as a Data Scientist or Machine Learning Engineer, with a track record of delivering real-world applications.

  • Technical Skills: Proficiency in Python and its libraries (e.g., scikit-learn). Experience with other sub-libraries is a plus.

  • ML Expertise: Strong understanding of machine learning algorithms and their applications, particularly in time series data.

  • Problem-Solving: Demonstrated ability to take the lead and solve complex problems independently.

  • Communication: Excellent communication skills, with the ability to educate and mentor team members on ML/AI concepts.

  • Collaboration: Ability to work collaboratively with a team, including those responsible for converting Python algorithms into C. Preferred Qualifications:

  • Experience with deploying ML models in production environments.

  • Familiarity with firmware development and integration.

  • Experience with scikit-learn null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.