Data Scientist

Hi,

Hope you are doing great, we have Urgent Requirement,

Please review the job description and if you are interested in this Role/Profile then please share a copy of your:-

  1. Updated resume (Only From Candidate’s side)
  2. Full legal Name :-  (As per SSN)

FIRST NAME

MIDDLE NAME 

LAST NAME 

  1. Current Location:-          
  2. Visa (front and back):-
  3. DL or State id:-
  4. Passport Number:-
  5. LinkedIn URL:-     
  6. Alternative Email ID:-
  7. Contact Details:-
  8. Have You applied For HCL:- (yes/no)
  9. Have you worked with HCL :-
  10. US first entry with which Visa status :-
  11. If there was a Change Status in Visa then in which year :-
  12. Educational Details (University & Passing Year)

Job Title/Role                                   :                               Data Scientist

Job Location                                       :                               Providence, Rhode Island/ Remote

Remote                                                :                               Yes

Job description

  • A solid foundation in Python programming is essential, along with familiarity with popular AI libraries/frameworks such as Langchain, TensorFlow, PyTorch, scikit-learn, and spaCy.
  • Demonstrated proficiency in developing AI solutions using Azure services, including Azure AI Search, Azure OpenAI APIs, and Azure SQL Database.
  • In-depth knowledge of search algorithms, indexing techniques, and retrieval models for effective information retrieval tasks.
  • Familiarity with search platforms like Elasticsearch or Azure AI Search is highly advantageous.
  • Hands-on experience with RAG architecture and its application in natural language processing tasks is a must.
  • Ability to proficiently manipulate data, perform complex queries, and conduct data transformations using SQL Server.
  • A solid understanding of machine learning and deep learning techniques, particularly those relevant to natural language processing tasks such as text extraction, text classification, sentiment analysis, named entity recognition, and summarization.
  • Ability to preprocess and clean large datasets efficiently using SQL/Python and other data manipulation tools.
  • Experience with techniques such as data normalization, feature engineering, and data augmentation is preferred.
  • Expertise in working with healthcare data standards (ex. HIPAA and FHIR), sensitive data and data masking techniques to mask personally identifiable information (PII) and protected health information (PHI) is essential.
  • Knowledge of cloud computing principles and experience in deploying, scaling, and monitoring AI solutions on cloud platforms like Azure.
  • Ability to communicate complex technical concepts effectively to technical and non-technical stakeholders and collaborate with cross-functional teams.
  • Analytical mindset with a keen attention to detail, coupled with the ability to solve complex problems efficiently.
  • Knowledge of cloud cost management principles and best practices to optimize cloud resource usage and minimize costs.

Must Have:

•            Minimum of 10 years’ experience as a data scientist.

•            Deep hands-on experience using Python.

•            Hands-on experience scaling POC to production

•            Hands-on experience with Azure Cloud eco-system

•            Hands-on experience using tools such as Document Intelligence (formerly Azure Form Recognizer), Snowflake, Azure AI Search, Azure OpenAI

•            Experience working with PII/PHI

•            Hands-on experience working with unstructured data.

•            Must have implemented a use case using RAG architecture.

Thanks & Regards....?

Ankit Kumar Srivastava

Trainee Recruiter

[email protected]

Quantum World Technologies Inc.

0 0 votes
Article Rating
Subscribe
Notify of
guest
0 Comments
Inline Feedbacks
View all comments