US Citizen
Green Card
EAD (OPT/CPT/GC/H4)
H1B Work Permit
Corp-Corp
W2-Permanent
W2-Contract
Contract to Hire
Consulting/Contract
UG :- - Not Required
PG :- - Not Required
No of position :- ( 1 )
Post :- 23rd Jan 2024
Mandatory Skills - Multi-Armed Bandit, reinforcement learning
Responsibility:
• Design, develop, deploy and improve production-grade near realtime scalable machine learning and statistical predictive models and NLP from near realtime call transcripts and utterances
• Develop novel algorithms and models using state-of-the-art techniques like deep learning neural networks (auto-encoders, feedforward networks, RNNs/CNNs, etc.) and NLP model architectures and algorithms such as BERT (and derivatives like BioBERT, RoBERTa, ALBERT etc.), BiLSTM, XLNet, T5, ELECTRA, PaLM and more
• Partner with cross-functional teams, understand problems, and identify opportunities where advanced analytics and machine learning techniques can be used to make a significant impact and then design, develop, deploy and monitor those ML solutions Deployment.
• Capture and inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
• Design, implement, deploy, and maintain deep learning and ML models using cloud technologies (e.g., Azure Databricks, MLFlows and Azure ML)
• Write production-ready modeling code that can be scaled out to 100 millions of calls and millions of users Collaboration.
• Promote deep scientific expertise, constant learning, attention to detail, and best practices while always being friendly, humble, and open to challenging any assumptions.
• Collaborate with data engineers, machine learning engineers, product managers and capability teams to coordinate timely deployments from conception to release
• Promotes and integrates best practices in data science and adheres to established work standards Other
• Research new machine learning solutions to complex business problems
• Communicate process, requirements, assumptions and caveats of advanced ML and NLP concepts and deliverables in laymen languages to non-technical business leaders Experience:
• BS, MS, or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, Economics or related quantitative fields
• 5+ years' experience in designing, developing and deploying production-grade machine learning solutions (supervised, unsupervised, reinforcement learning), deep learning.