Lead Machine Learning Engineer NLP 23
Lead Machine Learning Engineer NLP 23
Posted on :
11-04-2025
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1 Vacancy
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Job Description
About the job
Job Description: Team lead for Natural Language Processing (NLP) Team
Location: Kolkata/Bengaluru
About us
Founded in June 2016 Mihup is an AIpowered conversation intelligence platform that provides realtime personalized insights to contact center agents to improve sales and customer experience resulting in revenue growth reduced customer churn and improved brand image. Our team is composed of engineers machine learning scientists and product specialists from leading institutions. Our clients include global Fortune 500 companies and we are on track for aggressive expansion in India and globally. We are backed by Accel Partners and IdeaSpring Capital.
We are one of the few companies in India who have trained and bulit their own entire conversational A.I. platform inhouse. The conversation platform on the audio technology incorporates various deep learning based modules like diarization speech recognition (ASR) noise reduction speech enhancement echo cancellation texttospeech tonality etc.
About the Role
As a Team lead for NLP team you will play a critical role in designing and building scalable efficient and SOTA modules related to NLP. The developed modules is expected to process and analyze massive volumes of realtime and nonrealtime interaction data (call transcript live microphone transcript emails chats) to deliver actionable business insights and power realtime virtual agents or bots. You will collaborate with Product Managers Architects and other Machine Learning Engineers to revamp architectures identify new algorithms to build next generation of modules.
In this role youll tackle key challenges such as achieving SOTA building new costeffective and yet highly accurate deep learning models mentoring junior engineers and defining best practices for overall architecture.
Key Problem Areas
Achieving SOTA for various deep learning modules: Understanding problem areassolutioning defining data requirements planning resources availability and timelines.
Deliverables: Based on the requirement packaging the solution as a Dockerized solution or providing it as an edge solution as native SDK.
EndtoEnd Ownership: Owning Tier 1 services with accountability for design development and production readiness including addressing nonfunctional requirements like security scalability and performance.
Technical Leadership: Acting as a technical lead mentoring junior engineers and driving best practices for decisionmaking and .
Key Responsibilities
Lead and mentor a team of NLP engineers
Define technical roadmap and architecture for text processing components
Drive development of LLMbased solutions dialogue systems and text analytics
Collaborate with the speech technology team for endtoend conversational AI
Establish best practices for NLP development and deployment
Oversee model training evaluation and deployment pipelines
Manage project timelines and deliverables
Conduct technical interviews and assist in team building
Stay current with latest developments in NLP and propose innovations
Expectations and skills:
Masters/Ph.D. in Computer Science Computational Linguistics or related field from a tier1 institution
Minimum 5 years of relevant experience in NLP/Computational Linguistics
Strong programming skills in Python
Experience with modern NLP frameworks and libraries
Proven track record of leading technical teams
Excellent communication and leadership skills
NonFunctional Requirements: Strong focus on accuracy scalability and optimization in design and implementation.
Why This Role Matters
This role is pivotal in shaping the nextgeneration call analytics platform addressing the critical need to scale and optimize systems to support 50x current volumes.
Employment Type
Full Time
Key Skills
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