Machine Learning Engineer - Data Science

Responsibilities : - Develop and Implement ML Models : Design, build, and deploy machine learning models for various business applications, from initial research to production-ready solutions. - Data Collection & Preprocessing : Collect, clean, and preprocess data from multiple sources to make it ready for modeling. - Model Training and Evaluation : Conduct model training, testing, and evaluation using various metrics to ensure high performance and reliability. - Feature Engineering : Perform feature selection and engineering to optimize model performance. - Deploy and Monitor Models : Deploy models in production environments and continuously monitor performance to ensure accuracy and robustness over time. - Optimize and Scale ML Models : Improve the efficiency and scalability of existing models using best practices in machine learning engineering. - Collaborate with Cross-Functional Teams : Work with data scientists, software engineers, and product managers to understand requirements and deliver ML solutions that meet business needs. - Stay Updated on ML Trends : Keep up-to-date with the latest advancements in machine learning, deep learning, and data science fields. Qualifications : - Education : Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field. - Experience : 2 years of hands-on experience in machine learning or data science, including experience in deploying ML models. - Strong problem-solving abilities and analytical thinking. - Excellent communication and teamwork skills. - Ability to manage multiple tasks and projects simultaneously (ref:hirist.tech)

Location: in, IN

Posted Date: 11/26/2024