Senior ML Engineer
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At a glance
Job overview
Avoma is hiring a Senior ML Engineer. Avoma seeks a Deep Learning/NLP Engineer to improve and build algorithms that extract key insights and topics from conversations, applying state‑of‑the‑art NLP techniques to summarize meeting transcripts and deliver actionable notes.
Key focus areas include Improve Avoma’s Insights Engine, Create new models to be used in production, and Work with state-of-the-art LLMs to solve complex tasks.
Successful candidates bring 4+ Years Of Experience With Machine Learning & NLP In Production. Important skills include NLP, Deep Learning, TensorFlow, Python, GPT, and Claude. Preferred (not required): Curiosity, Self-Motivation, and Problem Solving.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Our Mission Join Avoma and work on some of the most challenging NLP problems in our mission to make every meeting more productive. Our intelligent meeting assistant helps professionals get insights and automate common tasks required for any business meeting. We leverage the latest NLP techniques to summarize meeting notes and extract key topics and action items, so our users can spend more time getting things done.
The Opportunity We are looking for a Deep Learning / NLP Engineer to improve and build our algorithms to extract key insights and topics from conversations.
For our insights engine, you’ll need to apply SOTA NLP techniques to take on challenges like identifying different topics of interest and summarizing meeting transcripts to succinct notes.
At Avoma you will: Improve Avoma’s Insights Engine
Create new models to be used in the production
Work with state-of-the-art LLMs to solve complex tasks
Develop and improve Deep Learning models in Tensorflow
Work with our engineering team to ship models to our customers
Stay up to date on the latest state-of-the-art papers in NLP
Work with large datasets of over a million documents
Requirements Atleast 4+ Years of experience with Machine Learning & NLP in a production environment
Experience developing and debugging in Python
Experience working with GPT, Claude, Gemini, or other similar LLMs.
Experience writing and shipping scalable, high-performant and clean code
Experience training Deep Neural Networks
Experience with Tensorflow, PyTorch, or similar frameworks
Excellent in both spoken and written communication skills
Curious, self-motivated, and loves challenging problems
Benefits A transparent salary structure: INR 30,00,000 - INR 40,00,000 ( Depending on the experience )
Stock Option Plan
Fast-paced, collaborative work environment
Paid Time Off (Vacation, Sick and Public Holidays)
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