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Job Location: Hyderabad/Secunderabad
What you’ll be doing:
- Develop, Train, fine tune and deploy NLU, NLG, IRQA, machine translation, and dialog system models
- Measure and benchmark model and system performance
- Analyze model accuracy and bias and recommend the next course of action & Improvements.
- Maintain NLP model evaluation systems
- Drive the gathering, building and annotation of domain specific datasets to train the NLP neural networks, to build Named Entity Recognition and Q&A systems.
- Gather knowhow on datasets for NLP and dialog systems training & evaluation.
- Characterize performance and quality metrics across platforms for various AI and system components
- Develop graceful error handling capability for dialog systems
- Develop knowledge discovery, and reasoning capabilities including but not limited to disambiguation, clarification, and anticipation for dialog systems
- Integrate dialog systems with various NLP and backend fulfillment systems
- Collaborate with various teams on new product features and improvements of existing products.
- Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.
- Help innovate, identify problems, recommend solutions and perform triage in a collaborative team environment.
What we need to see:
- Bachelor’s degree or Master’s degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math
- 5+ years of experience
- Excellent programming skills in Python
- Strong fundamentals in Programming, optimizations and Software design
- Strong knowledge of ML/DL techniques, algorithms and tools with exposure to CNN, RNN (LSTM), Transformers (BERT, GPT, Megatron)
- Knowhow of Deep learning applications to Speech, NLP, and dialog systems.
- Hands-on experience on conversational AI Technologies like Natural Language Understanding, Natural Language Generation, Dialog systems (including system integration, state tracking and action prediction), Information retrieval and Question and Answering, etc.
- Experience with Training BERT, GPT and Megatron Models for different NLP and dialog system tasks
- Experience with “PyTorch” Deep Learning Frameworks
- Exposure to NLP data wrangling and tokenization
- Experience with MLOPS workflows & traceability and versioning of datasets
- Understanding of MLOPS life cycle
- Know how of database management and queries (in SQL etc)
- General background around version control and code review tools like Git, Gerrit, Gitlab.
- Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment
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