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Junior Machine Learning Engineer

  • Job
    Full-time
    Junior Level
  • Data
    Software Engineering
  • Phoenix
    Remote

AI generated summary

  • You need a degree in a related field, strong machine learning fundamentals, proficiency in Python or Java, knowledge of ML frameworks, and excellent problem-solving and communication skills.
  • You will collaborate with teams to develop and optimize machine learning models, analyze data, evaluate model performance, improve infrastructure, and document processes.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
  • Solid understanding of machine learning fundamentals, algorithms, and statistical concepts.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Familiarity with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Knowledge of deep learning architectures and techniques is a plus.
  • Familiarity with big data processing tools (e.g., Hadoop, Spark) is advantageous.
  • Strong problem-solving skills and the ability to work on multiple projects simultaneously.
  • Excellent communication and collaboration skills.
  • Self-motivated with a strong desire to learn and grow in the field of machine learning.

Responsibilities

  • Collaborate with senior engineers and data scientists to understand project requirements and develop machine learning models and algorithms.
  • Assist in collecting, preprocessing, and analyzing data to uncover patterns and insights.
  • Implement and optimize machine learning models, algorithms, and pipelines.
  • Participate in model evaluation, validation, and performance tuning.
  • Contribute to the development and improvement of existing machine learning infrastructure and frameworks.
  • Stay up-to-date with the latest advancements in machine learning and actively participate in knowledge-sharing activities within the team.
  • Collaborate with cross-functional teams to integrate machine learning solutions into production systems.
  • Document technical processes, methodologies, and outcomes effectively.

FAQs

What is the job title for this position?

The job title for this position is Junior Machine Learning Engineer.

Is this position remote?

Yes, this is a remote position.

What is the annual income range for this position?

The annual income for this position ranges from $59K to $69K.

Is a valid work permit required for this position?

Yes, a valid work permit is necessary to work in the US or Canada.

What qualifications are required for this role?

A Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field is required.

What programming languages should candidates be proficient in?

Candidates should be proficient in programming languages such as Python, Java, or C++.

Are there any specific machine learning frameworks or libraries that candidates should be familiar with?

Yes, familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn is required.

What skills are considered a plus for this position?

Knowledge of deep learning architectures and techniques, as well as familiarity with big data processing tools like Hadoop and Spark, are considered advantageous.

What type of work environment can candidates expect?

Candidates can expect a collaborative and supportive environment, working closely with senior engineers and data scientists.

What responsibilities will the Junior Machine Learning Engineer have?

Responsibilities include collaborating on projects, preprocessing and analyzing data, optimizing machine learning models, participating in model evaluation and validation, and documenting technical processes.

What is the opportunity for professional development in this role?

This position provides an excellent opportunity to develop skills, gain valuable experience, and participate in knowledge-sharing activities within the team.

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