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Data Scientist (Computer Vision & Machine Learning)

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AbbVie

27d ago

  • Job
    Full-time
    Junior Level
  • Data
    Research & Development
  • Irvine

AI generated summary

  • You need a degree in CS or related field, 2+ years in data science, strong ML and CV skills, Python expertise with TensorFlow/PyTorch, cloud experience, and good problem-solving abilities.
  • You will develop and optimize deep learning models for computer vision tasks, preprocess data, deploy models, analyze data, and collaborate with teams to integrate AI solutions. Stay current on trends.

Requirements

  • Bachelor's or master’s degree in computer science, Data Science, AI, or a related field.
  • Minimum of 1 year of professional experience in data science, data engineering, or statistical analysis role
  • Solid understanding of machine learning concepts, neural networks, and deep learning architectures.
  • Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, OpenCV, and Scikit-Learn.
  • Hands-on experience in training and optimizing computer vision models.
  • Familiarity with data preprocessing techniques, image annotation tools, and model evaluation metrics.
  • Experience with cloud computing platforms (AWS, Google Cloud, or Azure) is a plus.
  • Strong problem-solving skills and the ability to work in a fast-paced environment.
  • Excellent communication and teamwork skills.
  • 2 or more years of professional experience in a data science, data engineering, or statistical analysis role
  • Experience with edge AI deployment and model optimization techniques.
  • Knowledge of traditional computer vision techniques (e.g., feature extraction, image filtering, geometric transformations).
  • Exposure to MLOps and tools for model deployment and monitoring.

Responsibilities

  • Develop, train, and optimize deep learning models for image classification, object detection, segmentation, and other computer vision tasks.
  • Implement and fine-tune machine learning algorithms for structured and unstructured data analysis.
  • Preprocess and augment image/video datasets to improve model accuracy and robustness.
  • Work with frameworks such as TensorFlow, PyTorch, and OpenCV to build scalable models.
  • Assist in deploying models to production environments, including cloud and edge computing platforms.
  • Conduct data analysis and visualization to derive insights and guide model development.
  • Collaborate with cross-functional teams to integrate AI solutions into existing workflows and products.
  • Stay up-to-date with the latest research and trends in AI, computer vision, and machine learning.

FAQs

What is the primary focus of the Data Scientist position at AbbVie?

The primary focus of the Data Scientist position is on Computer Vision and Machine Learning, specifically developing and optimizing deep learning models for tasks such as image classification, object detection, and segmentation.

What type of projects will I be working on in this role?

In this role, you will be working on advanced visual prototyping, including building, optimizing, and deploying machine learning models for real-world applications in the field of computer vision.

What qualifications are required for this position?

The required qualifications include a Bachelor's or master’s degree in computer science, Data Science, AI, or a related field, along with a minimum of 1 year of professional experience in data science, data engineering, or statistical analysis, and proficiency in Python and relevant machine learning libraries.

Are there any preferred qualifications for candidates?

Yes, preferred qualifications include 2 or more years of professional experience in a data science or related role, experience with edge AI deployment and model optimization techniques, and knowledge of traditional computer vision techniques.

What technologies and frameworks will I be using?

You will be using frameworks such as TensorFlow, PyTorch, OpenCV, and Scikit-Learn, as well as potentially working with cloud computing platforms like AWS, Google Cloud, or Azure.

Will there be opportunities for career advancement?

Yes, the position offers opportunities for career advancement, especially through participation in projects that drive innovation and collaboration within cross-functional teams.

Is prior experience with MLOps important for this role?

Prior experience with MLOps and tools for model deployment and monitoring is considered a preferred qualification but is not mandatory.

What type of work environment can I expect?

You can expect a fast-paced work environment that encourages teamwork and collaboration with data scientists, engineers, and researchers.

Are there benefits provided with this position?

Yes, AbbVie offers a comprehensive benefits package, including paid time off, medical/dental/vision insurance, and a 401(k) plan to eligible employees.

Does AbbVie support diversity and inclusion in its hiring practices?

Yes, AbbVie is committed to diversity and inclusion and operates as an equal opportunity employer, ensuring that qualified individuals are employed without discrimination.

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AbbVie

Science & Healthcare
Industry
10,001+
Employees

Mission & Purpose

AbbVie is a global biopharmaceutical company focused on creating medicines and solutions that put impact first — for patients, communities, and our world. We aim to address complex health issues and enhance people's lives through our core therapeutic areas: immunology, oncology, neuroscience, eye care, aesthetics and other areas of unmet need.