Machine Learning Engineer

As an ML Engineer at GlobalLogic, you will play a crucial role in developing and deploying machine learning models in a professional setting. Your responsibilities will include: - Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning. - Building and deploying models using Python with Azure Data Factory (ADF), Azure Databricks, PySpark, Delta Lake, ETL/ELT, data pipelines, and data lakehouse architecture. - Proficiency in Python and relevant machine learning libraries such as scikit-learn, TensorFlow, and PyTorch. - Experience with cloud computing platforms like AWS, Azure, and GCP, as well as containerization technologies like Docker and Kubernetes. - Excellent communication, collaboration, and problem-solving skills. - Passion for learning and exploring new technologies. Qualifications required for this role: - Bachelor's degree in Computer Science or related field. - Master's degree or equivalent advanced degree preferred. - Proven track record of delivering data science projects from ideation to production. - Strong communication skills and the ability to tell compelling stories with data. - Comfortable working with both structured and unstructured data sets. At GlobalLogic, you will experience a culture of caring where people are prioritized. We are committed to your continuous learning and development, offering various opportunities to grow personally and professionally. You will work on interesting and meaningful projects that have a real impact. We believe in the importance of balance and flexibility, providing a high-trust environment where integrity is key. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for collaborating with clients to transform businesses and redefine industries through intelligent products, platforms, and services. Join us to be part of innovative projects and shape the digital revolution.,