Machine Learning Engineer

About the role

Project Description

Hiredbuddy is seeking a motivated Machine Learning Engineer to join our remote team. You will build, train, and evaluate machine learning models to solve real-world problems and support data-driven applications. Ideal for entry-level candidates with strong programming, analytical, and problem-solving skills and a passion for artificial intelligence. You'll work with Python, machine learning libraries, and data processing tools while gaining hands-on experience with real-world ML projects. This is a great opportunity to grow your career in a supportive and innovative environment.

Full Description

Hiredbuddy is looking for a detail-oriented and enthusiastic Machine Learning Engineer to join our growing team. This is an entry-level, remote position perfect for someone eager to launch their career in machine learning and artificial intelligence. You will work closely with data scientists, software engineers, and other teams to develop machine learning solutions that address business and technical challenges.

In this role, you will be responsible for preparing datasets, developing machine learning models, evaluating model performance, and helping integrate ML solutions into applications. You will work with structured and unstructured data, identify patterns, and experiment with different algorithms to improve model accuracy and performance. You will also have the opportunity to collaborate with senior engineers and data scientists, gaining valuable mentorship and hands-on experience.

Your daily tasks will include collecting and cleaning data, performing exploratory data analysis, preparing features, and training machine learning models using Python and libraries such as Scikit-learn, Pandas, and NumPy. You may work with supervised and unsupervised learning techniques, including classification, regression, clustering, and recommendation systems. You will also assist with model testing, performance evaluation, documentation, and optimization.

As you grow in the role, you will have opportunities to work on more advanced projects involving deep learning, natural language processing, computer vision, and model deployment. You may also gain experience with tools and platforms such as TensorFlow, PyTorch, Docker, cloud services, and ML deployment workflows.

At Hiredbuddy, we value curiosity, experimentation, problem-solving, and a willingness to learn. We provide a supportive environment where you can develop your technical skills through practical projects, learning resources, regular feedback, and mentorship. Our remote-first culture provides flexibility while encouraging collaboration through virtual meetings and communication tools.

If you are passionate about machine learning and want to build intelligent solutions that make an impact, we encourage you to apply. We are looking for individuals who are proactive, analytical, communicative, and eager to grow their skills. Join us and be part of a team focused on innovation and excellence.

Requirements

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Engineering, or a related field

0-2 years of experience in machine learning, data science, or a related role (internships and academic projects count)

Proficiency in Python programming

Basic understanding of machine learning concepts and algorithms

Experience with libraries such as Scikit-learn, Pandas, and NumPy

Understanding of data preprocessing, feature engineering, and model evaluation

Familiarity with supervised and unsupervised learning techniques

Basic knowledge of statistics and probability

Strong analytical and problem-solving skills

Good understanding of algorithms and data structures

Familiarity with Git or other version control systems

Good communication skills, both written and verbal

Ability to work independently and collaboratively in a remote environment

Eagerness to learn new machine learning tools and technologies

Benefits

Professional development budget for courses and certifications

Regular team-building activities and virtual events

Hands-on experience with real-world machine learning projects

Mentorship from experienced engineers and data scientists

Opportunity for career growth in AI and machine learning