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Senior Machine Learning Engineer - NLP @ Observe.AI

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 Senior Machine Learning Engineer - NLP

Job Description

The Opportunity
If you are a talented and driven person with experience in the domain of Natural Language Processing/ Spoken Language Understanding and want to join a high-impact team at the core of Observe.AIs mission, then this role is for you!
This is a highly challenging role that exposes one to state-of-the-art Machine Learning and Deep Learning algorithms in the domain of NLP and to the challenges of building a world-class ML platform in production. You will contribute to building industry-leading AI-powered products for Observe.AI leveraging the latest technologies in NLP and architecting/ implementing high throughput/ low latency/ scalable ML systems.
 
What you ll be doing
  • Design & develop state-of-the-art AI capabilities end-to-end from conception to production for Observe.AI s product offerings, in a fast-paced startup environment.
  • Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including Large Language Models and related emerging technologies.
  • Contribute to both ML modeling as well as building/ maintaining production systems that power AI capabilities on the product.
  • Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale
  • Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders.
  • Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities to build the right solution for the right problem.
  • Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of the Observe.AI NLP platform.
  • Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc.
What you bring to the role
  • Bachelor s or Master s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP.
  • 3+ years of industry experience in building large-scale NLP systems.
  • Strong understanding of the fundamentals of ML and NLP, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP applications.
  • Good understanding of recent trends in NLP around transformers, language models, textclassification, generative approaches for NLP, prompting techniques, question answering, information retrieval, etc.
  • Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch,Tensorflow, HuggingFace, etc., and deploying/ maintaining machine learning models in production.
  • Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development
  • Excellent communication, collaboration skills, and presentation skills.
  • Experience with Spoken Language Understanding is a plus
  • Published papers in top NLP conferences or workshops are a plus
  • Relevant open-source contributions are a plus.
Compensation, Benefits and Perks
  • Excellent medical insurance options and free online doctor consultations
  • Yearly privilege and sick leaves as per Karnataka S&E Act
  • Generous holidays (National and Festive) recognition and parental leave policies
  • Learning & Development fund to support your continuous learning journey and professional development
  • Fun events to build culture across the organization
  • Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time

Contact Details:

Company: Observe.AI
Location(s): Bengaluru

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Keyskills:   Computer science Automation Publishing Machine learning Information retrieval Natural language processing Customer service Open source Automotive Python

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