MACHINE LEARNING ENGINEER (ENTRY LEVEL)

$67,000 - $75,000/Yr

Unclassified - New York, NY

Full-time - Entry Level

Remote - New York, NY

About the position

As an Entry Level Machine Learning Engineer at SkyRecruitment, you will embark on an exciting journey in the field of machine learning. This remote position offers a unique opportunity to work on innovative projects that will not only enhance your skills but also contribute to the development and implementation of cutting-edge machine learning solutions. You will be part of a collaborative and supportive environment where you can learn from experienced professionals and gain valuable insights into the industry. Your role will involve working closely with senior engineers and data scientists to understand project requirements and develop machine learning models and algorithms that meet those needs. In this position, you will assist in the collection, preprocessing, and analysis of data to uncover patterns and insights that can drive decision-making. You will implement and optimize machine learning models, algorithms, and pipelines, ensuring they are efficient and effective. Participation in model evaluation, validation, and performance tuning will be key aspects of your responsibilities, allowing you to refine your skills and contribute to the success of the projects you work on. Additionally, you will have the chance to contribute to the development and improvement of existing machine learning infrastructure and frameworks, ensuring that the team remains at the forefront of technological advancements. Staying up-to-date with the latest advancements in machine learning is crucial, and you will be encouraged to actively participate in knowledge-sharing activities within the team. Collaboration with cross-functional teams will be essential as you integrate machine learning solutions into production systems. You will also be responsible for documenting technical processes, methodologies, and outcomes effectively, ensuring that knowledge is shared and accessible within the organization.

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.

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.

Nice-to-haves

• Knowledge of deep learning architectures and techniques is a plus.
• Familiarity with big data processing tools (e.g., Hadoop, Spark) is advantageous.