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Staff Engineer, Machine Learning at Nagarro. Location Information: Remote, India. . Company Description. 👋🏼We're Nagarro.. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in. Job Description. REQUIREMENTS:. Total experience:7+years.. Strong working knowledge in Machine Learning and NLP.. Strong hands-on programming skills in Python, with expertise in libraries such as scikit-learn, pandas, NumPy, TensorFlow/. PyTorch. .. Deep understanding of supervised and unsupervised learning, NLP, deep learning, and model evaluation techniques.. Proven experience in designing and deploying ML . pipelines. and data workflows at scale.. Proficiency with . MLOps. tools.. Experience with version control, containerization, and CI/CD in ML environments.. Strong understanding of data preprocessing, feature selection, and model interpretability techniques.. Experience with cloud platforms (AWS, GCP, Azure) for ML deployment.. Familiarity with generative AI models and LLMs.. Excellent communication and collaboration skills.. RESPONSIBILITIES:. Understanding functional requirements thoroughly and analyzing the client’s needs in the context of the project. Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it. Determining and implementing design methodologies and tool sets. Enabling application development by coordinating requirements, schedules, and activities.. Being able to lead/support UAT and production roll outs. Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it. Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement. Giving constructive feedback to the team members and setting clear expectations.. Qualifications. Bachelor’s or master’s degree in computer science, Information Technology, or a related field.. .