Job Location: Pune
What you’ll be doing:
- Integrate dialog systems with various NLP and backend fulfillment systems
- 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
- 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
- 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
- 3+ years of experience
- Excellent programming skills in Python
- Familiarity with microservices, Docker, helm, kubernetes etc.
- Experience of working on end to end Software lifecycle, release packaging & CI/CD pipeline
- 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 MLOPS workflows & traceability and versioning of datasets
- Understanding of MLOPS life cycle
- Know how of database management and queries (mongoDB, Redis 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
Ways to stand out from the crowd:
- Strong C++ programming skills
- 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)
- Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT
- Background with deploying machine learning models on data center, cloud, and embedded systems
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