Data Scientist Lead

Key Skills

Aartificial intelligence, Azure, Big Data Technology, Deep Learning, HuggingFace, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, Snowflake, SQL, TensorFlow

Job Description

Role - Data Scinetist

Location - Anywhere in USA (Remote)

Responsibility:

Model

• 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 framework (e.g. TensorFlow, PyTorch, Keras, etc) and NLP (NLTK, Spark NLP, spaCy, HuggingFace, Flair, NLTK, etc) for real-world business problems
• Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, Snowflake, or other big data systems
• Development and ML experience in cloud platforms such as Microsoft Azure
• Combination of deep technical skills and business sense, to interface with all levels and disciplines within an organization.
• Excellent written and verbal communication skills to explain complex research to both technical and non-technical audiences
• Self-motivated individual that thrives in a dynamic environment

Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law.