Junior Machine Learning Engineer
Junior Machine Learning Engineer - Work from Home Full-time $64K - $78K per annum 1
Year Experience Required Visit fitnessmatrixinc.
com to learn more & apply with your resume and cover letter.
Introduction:
FitnessMatrixInc is an unique approach to health and wellness that is based on the principle of bio-individuality.
This means that we believe that everyone is different and has their own unique needs and challenges.
We will work with you to understand your biochemistry and develop a personalized plan that is right for you.
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 should we work with FitnessMatrixInc? FitnessMatrixInc is the leading provider of holistic and multidimensional health and wellness services.
We offer a comprehensive approach to health and wellness.
We take into account all aspects of your life, from your physical fitness and nutrition to your mental, emotional, and spiritual well-being.
We use the latest science and technology to develop our programs and services.
We are constantly innovating and finding new ways to help our clients achieve their goals.
We offer a variety of programs and services to meet your needs and budget.
#J-18808-Ljbffr Recommended Skills Algorithms Apache Hadoop Apache Spark Big Data C+
(Programming Language) Communication Estimated Salary: $20 to $28 per hour based on qualifications.
Year Experience Required Visit fitnessmatrixinc.
com to learn more & apply with your resume and cover letter.
Introduction:
FitnessMatrixInc is an unique approach to health and wellness that is based on the principle of bio-individuality.
This means that we believe that everyone is different and has their own unique needs and challenges.
We will work with you to understand your biochemistry and develop a personalized plan that is right for you.
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 should we work with FitnessMatrixInc? FitnessMatrixInc is the leading provider of holistic and multidimensional health and wellness services.
We offer a comprehensive approach to health and wellness.
We take into account all aspects of your life, from your physical fitness and nutrition to your mental, emotional, and spiritual well-being.
We use the latest science and technology to develop our programs and services.
We are constantly innovating and finding new ways to help our clients achieve their goals.
We offer a variety of programs and services to meet your needs and budget.
#J-18808-Ljbffr Recommended Skills Algorithms Apache Hadoop Apache Spark Big Data C+
(Programming Language) Communication Estimated Salary: $20 to $28 per hour based on qualifications.
|
|
 | |
