Remote Machine Learning Engineer

We're looking for a Machine Learning Engineer to help build and improve AI-powered products. You'll work with large datasets, train and evaluate machine learning models, and collaborate with software engineers to bring models into production. This is a great opportunity for someone who enjoys solving practical problems with machine learning and wants to work on real-world AI applications. What you'll do - Develop, train, and evaluate machine learning models. - Prepare and analyze datasets for model training. - Improve model performance through experimentation and testing. - Deploy and maintain ML models in production environments. - Collaborate with software engineers to integrate ML solutions into products. - Monitor model performance and continuously improve accuracy. - Stay up to date with new machine learning techniques and technologies. What we're looking for - Basic understanding of machine learning concepts and algorithms. - Experience with Python. - Familiarity with machine learning libraries such as PyTorch, TensorFlow, or scikit-learn. - Comfortable working with data and writing clean, maintainable code. - Familiarity with Git. - Good problem-solving skills. - Strong written and verbal English communication. Nice to have - Experience with large language models (LLMs). - Experience with cloud platforms such as AWS, GCP, or Azure. - Familiarity with SQL. - Experience deploying ML models. - Personal projects or open-source contributions related to AI or machine learning. Requirements - 1+ year of experience in machine learning, software engineering, data science, or a related technical role or strong personal projects demonstrating ML skills. - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus, but not required. - Passion for learning and building AI solutions. What we offer - Fully remote work. - Flexible working environment. - Opportunity to work on real AI products. - Challenging technical problems with room to grow. - Collaborative and fast-moving team. - Competitive compensation based on experience. Originally posted on Himalayas