Machine Learning Engineer

Project DescriptionDo you have the right skills and experience for this role Read on to find out, and make your application.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 DescriptionHiredbuddy 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. xhyhwjd Join us and be part of a team focused on innovation and excellence.RequirementsBachelor's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Engineering, or a related field0-2 years of experience in machine learning, data science, or a related role (internships and academic projects count)Proficiency in Python programmingBasic understanding of machine learning concepts and algorithmsExperience with libraries such as Scikit-learn, Pandas, and NumPyUnderstanding of data preprocessing, feature engineering, and model evaluationFamiliarity with supervised and unsupervised learning techniquesBasic knowledge of statistics and probabilityStrong analytical and problem-solving skillsGood understanding of algorithms and data structuresFamiliarity with Git or other version control systemsGood communication skills, both written and verbalAbility to work independently and collaboratively in a remote environmentEagerness to learn new machine learning tools and technologiesBenefitsProfessional development budget for courses and certificationsRegular team-building activities and virtual eventsHands-on experience with real-world machine learning projectsMentorship from experienced engineers and data scientistsOpportunity for career growth in AI and machine learning