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Junior AI Solutions Engineer

2 months ago

Clinton Twp, United States Remotely Full time
Position Type:
Remote, Full-Time

Salary Range:
$61K-$70K Annually

Overview:

As an Entry-Level Machine Learning Developer, you will engage in innovative projects, enhance your expertise, and play a vital role in the creation and deployment of AI-driven solutions.

This role is ideal for those eager to embark on a career in machine learning, providing a platform to gain essential experience in a nurturing and collaborative setting.


Key Responsibilities:
  • Work alongside experienced engineers and data analysts to grasp project objectives and design machine learning models and algorithms.
  • Assist in gathering, cleaning, and analyzing datasets to identify trends and insights.
  • Develop and refine machine learning models, algorithms, and workflows.
  • Engage in model assessment, validation, and optimization.
  • Contribute to the enhancement of current machine learning systems and frameworks.
  • Keep abreast of the latest trends in machine learning and actively engage in knowledge-sharing within the team.
  • Collaborate with interdisciplinary teams to implement machine learning solutions in operational environments.
  • Effectively document technical procedures, methodologies, and results.

Required Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related discipline.
  • Fundamental understanding of machine learning principles, algorithms, and statistical methods.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Familiarity with machine learning frameworks and libraries, including TensorFlow, PyTorch, or scikit-learn.
  • Experience in data preparation, feature engineering, and model assessment techniques.
  • Knowledge of deep learning frameworks is advantageous.
  • Familiarity with big data processing tools (e.g., Hadoop, Spark) is a plus.
  • Strong analytical skills and the capacity to manage multiple projects concurrently.
  • Excellent interpersonal and teamwork abilities.
  • Self-driven with a keen interest in learning and advancing in the machine learning domain.