ML Engineer

In this role as a Machine Learning Engineer, you will be responsible for developing and implementing machine learning models to solve real-world problems and drive business value. You will collaborate closely with data scientists, software engineers, and product managers to design, build, and deploy innovative solutions. **Key Responsibilities:** - Design, develop, and implement machine learning models for various applications, such as predictions, customer churn analysis, and fraud detection. - Collect, clean, and preprocess large datasets for training and evaluation. - Conduct exploratory data analysis and feature engineering to improve model performance. - Evaluate and select appropriate machine learning algorithms and techniques based on business requirements and data characteristics. - Develop and maintain machine learning pipelines for data ingestion, preprocessing, training, and deployment. - Monitor and optimize the performance of deployed models in production. - Stay up-to-date with the latest advancements in machine learning and related technologies. - Collaborate with cross-functional teams to integrate machine learning solutions into existing systems. - Communicate technical concepts and findings to both technical and non-technical audiences. - Mentor and guide junior data scientists, fostering a collaborative and knowledge-sharing environment. **Qualifications:** - Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. **Additional Details About the Company:** At GlobalLogic, we prioritize a culture of caring. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. We are committed to your continuous learning and development, offering many opportunities to grow personally and professionally. GlobalLogic is known for engineering impact for and with clients around the world, providing interesting and meaningful work with cutting-edge solutions. We believe in the importance of balance and flexibility to help you integrate and balance the best of work and life, having fun along the way. As a high-trust organization, integrity is key, and we prioritize truthfulness, candor, and integrity in everything we do.,