Junior Machine Learning Engineer

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Number of Applicants

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Job Description - Junior Machine Learning Engineer

This is a remote position.

Junior Machine Learning Engineer - US/Canada - 1+ Year - Full-time

How to Apply: Visit skyrecruitments.com to learn more & apply

Brief Intro:

SkyRecruitment is a people-focused staffing and recruitment agency that believes in the power of the right match. We are passionate about connecting employers with qualified candidates who are a good fit for their business culture and values.

Salary: $60K - $75K

Job Summary:

As a Junior Machine Learning Engineer, you will have the opportunity to work on exciting projects, develop your skills, and contribute to the development and implementation of machine learning solutions. This is an excellent opportunity for individuals looking to kick-start their careers in the field of machine learning and gain valuable experience in a collaborative and supportive environment.

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.

Qualifications:

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.

Why do we prefer SkyRecruitment?

SkyRecruitment's most recruitment clients have incredibly bright, mission-driven coworkers passionate about using modern web technologies to solve real-world problems---and we're multiplying. To continue building an engaging and dynamic organization, we're committed to giving everyone the support & connections with the best clients worldwide possible. We believe diverse perspectives and backgrounds are critical to building great technology, and our goal is to cultivate an environment where people feel equally valued and respected.

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