Mphasis Limited

Mphasis - Data Scientist - NLP/Generative AI

Job Location

bangalore, India

Job Description

Job Description Data Scientist Location Bangalore Years of experience needed - - Minimum 5 Years of relevant Collaborate with cross-functional teams to identify opportunities for AI and Data to solve business challenges - Design and implement data pipelines to collect, process, and integrate data from various sources - Develop and optimize machine learning and deep learning models for predictive analytics, computer vision, natural language processing, and more - Leverage big data technologies like Hadoop, Spark, and NoSQL databases to handle large-scale datasets - Explore and apply generative AI techniques to generate synthetic data, create content, and automate tasks - Implement MLOps practices to streamline the model development lifecycle and enable continuous deployment - Present findings and recommendations to stakeholders in a clear and compelling manner - Lead cross-functional teams to deliver AI projects on time and within budget - Stay current with the latest advancements in AI, data engineering, and related technologies Knowledge and Skills: - 8 years of experience in data science, machine learning, and AI - Proficiency in Python, SQL and data visualization tools like Tableau or PowerBI - Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Keras - Knowledge of deep learning architectures and techniques for computer vision, NLP, and generative AI - Hands-on experience with big data technologies such as Hadoop, Spark, and NoSQL databases - Understanding of MLOps principles and tools for model versioning, monitoring, and deployment - Familiarity with Kubernetes core concepts like pods, deployments, services, and ingress - Strong communication and leadership skills to effectively collaborate with cross-functional teams - Ability to work in a fast-paced, agile environment and adapt to changing priorities (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 5/30/2025
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Mphasis Limited

Posted

May 30, 2025
UID: 5130425042

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