Associate Principal Engineer, Machine Learning

Summary

Join Nagarro, a Digital Product Engineering company, as a Machine Learning and NLP expert with 11+ years of experience. You will be responsible for understanding client needs, designing and deploying ML pipelines, and leading UAT and production rollouts. Strong programming skills in Python and experience with MLOps tools are essential. Deep understanding of supervised and unsupervised learning, NLP, deep learning, and model evaluation techniques is required. Experience with cloud platforms (AWS, GCP, Azure) and familiarity with generative AI models and LLMs are also needed. Excellent communication and collaboration skills are a must.

Requirements

• Total experience:11+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
• Hands on experience in Generative AI
• 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
• Bachelor’s or master’s degree in computer science, Information Technology, or a related field

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