Short Description:
Uniphore, a leading B2B AI-native company, seeks an AI Scientist in Bangalore or Chennai. The role involves refining large language models, enabling integration with other tools, and aligning models based on customer feedback. The ideal candidate holds a Master's degree, possesses over a year of AI industry experience, and is proficient in deep learning with PyTorch/TensorFlow. Familiarity with Hugging Face, Transformers, and deployment technologies like Docker and AWS is essential. Uniphore offers competitive compensation, premium benefits, and is dedicated to workplace diversity.
Position: AI Scientist
Location: Bangalore Or Chennai
Division: R&D (3500) – Data Science (DS)
Job Type: Full-Time / Hybrid
Uniphore stands out as one of the leading B2B AI-centric companies, proven over decades, built for scalability, and tailored for enterprise needs. Our focus extends across various industry verticals, facilitating the largest global deployments.
We integrate AI comprehensively into every aspect of enterprises that impact the customer, presenting a unique multimodal architecture. This architecture incorporates Generative AI, Knowledge AI, Emotion AI, workflow automation, and a co-pilot feature. Uniphore excels in capturing and analyzing voice, video, and text data.
As the power of AI continues to grow, disruptions in every customer-impacting enterprise segment are inevitable. Uniphore envisions a future driven by the connectivity between people, machines, and data—a future dedicated to creating the most human-centric processes and experiences for both customers and employees.
We are currently seeking a dynamic Deep Learning NLP Engineer for the role of AI Scientist, reporting to our Director of AI Science. This presents an outstanding opportunity to collaborate with industry leaders on our cutting-edge technologies.
Responsibilities include:
- Developing and fine-tuning pre-trained enterprise-grade large language models and multi-modal models.
- Enabling large language models to seamlessly integrate with other tools.
- Aligning large language models based on feedback received during deployment on enterprise customers.
- Specifying guidelines and designing annotation processes for data, collaborating closely with the Data team on data preprocessing, consumption, and automated/manual annotations.
- Conducting scientific evaluations of NLP/LLM models, devising new techniques for model validation, evaluation, trust, and safety.
Skills Required:
- Minimum of a Master’s degree in Computer Science, Engineering, or related fields.
- 1+ years of industry experience in AI, NLP, Vision, and ASR.
- Proficiency in deep learning with expertise in PyTorch/TensorFlow.
- Familiarity with Transformers, experience using the Hugging Face library and LLMs to solve NLP problems.
- Worked with large datasets, addressing quality issues, and interpreting data with a focus on business goals.
- Solid expertise in Python programming.
- Hands-on experience in developing production-ready, scalable code.
Relevant Technologies:
- ML: Hugging Face, PyTorch, MLOps tools.
- Deployment: Docker, AWS, Terraform, Garden.
- Datastores: Postgres, S3.
Benefits:
Uniphore offers competitive compensation and premium benefits, including insurance, pre-IPO options, leave, and additional perks.
For more information on how Uniphore leverages AI to unify and humanize every enterprise experience, please visit www.uniphore.com.
Please click here to apply.
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