Data scientistnbsp
Posted on :
02-04-2024
Employer Active
1 Vacancy
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Job Description
Req ID : 2683890
Job Title : Data scientist
Location : Santa ClaraCA(Hybrid)
Duration : Longterm
Direct Client: Applied materials
PV : Prospence Inc
Bill Rate : $75/hr on C2C
Pay Rate : $60/hr on C2C
Visa : H1BH4EADUSC
Experience : 6 Years
JD Requirements: Azure ML Architect which Experience on Data Bricks Development platform
Prior Experience
Hands on experience on working in Azure cloud platform.
Experience in designing and implementing scalable and secure Azure cloud solutions using Data Bricks ML platform.
Understanding of implementation of architecture within Azure Big Data Analytics Al tools.
Expert level in Designing and Architect solutions in Azure Data factory Azure Databricks Azure Datalake Computer Vision and Azure synapse analytics implementation.
Good to have Experience in Azure cloud technologies like PySpyark Synapse ADF Databricks Python Scala and SQL.
Have good experience configuring Microservices using Docker Kubernetes on Azure Data Bricks
Extensive Experience on working on Azure AI services including Data Bricks and Azure cognitive services.
Experience in creating and deploying code libraries using functions and classes in Python in AI productfocused development.
Wellversed in software development and code quality best industry practices.
Experience working with Agile Development methodologies.
Responsibilities:
your primary responsibility is to Architect design and develop AI application on Azure cloud and Databricks.
Lead the azure cloud architecture design for various applications depending on business requirements!
Prototypes and do proof of concepts (PoC) in one or all the following areas: LLM NLP DL (Deep Learning) ML (Machine Learning) object detection/classification tracking etc.
You will work with a team of researchers and engineers to build stateoftheart language models that can understand and generate humanlike text.
Work with business users to translate functional requirements into data specifications
Collaborate with data scientists and business users to transform domain knowhow into functional requirements.
Model Training and Evaluation: Train and finetune language models using appropriate machinelearning frameworks and tools.
Research and Innovation: Stay up to date with the latest advancements in the field of natural language processing and machine learning.
Collaboration and Communication:
Collaborate effectively with crossfunctional teams including researchers DevOps architects/engineers and project managers.
Documentation and Knowledge Sharing: Document code algorithms and processes to ensure effective knowledge transfer and maintain codebase quality.
Requirements:
B.E./ B. Tech / M. Tech/ MCA (Computer Science/Electronics & Communication/Electrical) a masters in computer science artificial intelligence or a related field or a specialization in natural language processing is preferred.
46 years of IT experience with a min of 3 years in Azure Data Bricks for development and Azure Services.
Strong Expertise in the Azure cloud solutions.
Strong programming skills in Python.
Experience with deep learning frameworks (e.g. TensorFlow PyTorch) is highly desirable.
Solid understanding of natural language processing techniques including language modeling text classification sentiment analysis and machine translation.
Familiarity with statistical and machine learning approaches such as neural networks recurrent neural networks (RNN) and transformer models.
Experience with largescale data processing including data collection cleaning and preprocessing.
Proficiency in working with UNIX/Linux environments and commandline tools.
Strong analytical and problemsolving abilities.
Excellent communication skills interpersonal written visual (presentations) and verbal.
Certifications
Databricks Machine learning professional (highly preferred)
Questionnaire :
Years of experience in Databricks Machine Learning
Have you deployed any models using Databricks model serving
Have you deployed a model with unstructured data using Databricks model serving
Employment Type
Full Time
Key Skills
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