Hello ,
This is Bharath from Innovative InfoTech, We have a below requirement with one of our Direct client, please go through the job description, share your updated resume.
Job Title: Lead Data Scientist
Location: Remote / NY/NJ
Duration: 18-24mth+
Job Description:
· M.S in Computer Science, Statistics, Machine learning, Applied Math, PhD desirable
· 8+ years of experience in engineering supervised and unsupervised learning systems
· Proven experience in cloud development (GCP) and machine learning development life cycle
· Expertise building deep learning NLP models (Embeddings, Transformers, Transfer Learning)
· Experience in data quality: scraping, munging, tagging/annotation, lexicons, curating training data
· Experience with distributed data pipelines (Spark, Google Cloud Data Flow)
· AutoML NLP is highly desirable
· Worked with data Relational and NoSQL database repositories
· Strong hands-on programming experience in Python, Java
· Expertise in deep learning frameworks for NLP tasks (TensorFlow 2.0, Keras, NLP packages)
· Experience in REST-based web service development
· Experienced in agile development and tools (Jenkins -CI/CD, Jira, Docker, Kubernetes)
· Experience with explainability techniques of AI modes is a huge plus
· Financial experience is preferred
· Ability to learn new technologies and rapidly prototype newer concepts
· Top-down thinker, excellent communicator, and great problem solver
AirisDATA is a niche system integration company focused exclusively on predictive analytics solutions. We take pride in our technical excellence backed by a team of data engineers and data scientists who architect, build, and deploy data products for large scale data deployments. We are committed to providing our customers with a competitive edge, reduced total cost of ownership, and a high return on investment.
Ideal Candidate
The ideal candidate will have expertise in NLP, deep learning (Keras, TensorFlow), distributed data engineering, cloud development (GCP) and proficiency with Python. This person will be tasked to architect and build language models (extraction, summarization, classification, understanding, generation, sentiment analysis) to make better sense of massive sets of unstructured data.
Job Requirements:
Thanks And Regards
Bharath E
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