Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Candidates should possess a Bachelor’s degree in Computer Science, Statistics, or a related field, along with at least 3 years of experience in software development, with a focus on AI/ML development. Strong proficiency in Python is required, including experience with libraries such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, and familiarity with R, Java, or C++ is a plus. Experience with machine learning and deep learning frameworks like TensorFlow and Keras, PyTorch, XGBoost, LightGBM, and CatBoost is essential. Familiarity with Natural Language Processing techniques, including text preprocessing, vectorization, and transformer-based models, is also required, as is experience with computer vision libraries like OpenCV and Pillow. Candidates should have experience building and managing data pipelines using tools like Apache Airflow or Luigi and deploying models as REST APIs or batch jobs.
The AI Developer will design, develop, and deploy AI-powered applications and services, building intelligent systems that solve real-world problems. They will develop and implement machine learning models and algorithms for various tasks, including classification, regression, clustering, and recommendation. The role involves building and maintaining data pipelines for training and inference workflows, collaborating with data scientists, product managers, and software engineers to integrate AI models into production systems, and optimizing model performance and scalability. The AI Developer will conduct experiments, evaluate model performance, and iterate based on results, while staying up to date with the latest advancements in AI/ML and applying them to practical use cases. They will also document code, processes, and model behavior for reproducibility and compliance.
Develops and delivers prescription medicines globally
Eli Lilly and Company is a global pharmaceutical company that focuses on discovering, developing, and delivering medicines to improve health. The company has a long history of scientific achievements, including the creation of insulin, the first life-saving treatment for diabetes. Lilly's operations involve extensive research and development to create new medications and enhance existing ones, ensuring they are safe and effective. Their products are primarily prescription medicines sold to healthcare providers for various medical conditions, including diabetes, cancer, and pain management. What sets Lilly apart from its competitors is its strong commitment to ethical practices and the protection of its products from counterfeiting. The company's goal is to enhance lives through innovative medical solutions while maintaining high standards of quality and ethics.