Data Scientist

Position: Data Scientist

Location: RI/Remote ***Day 1 Onsite***

Duration: 1 Years

Phone & Skype

Client: HCL

Immediate Interview

Need Details in below format only else will not consider the resume. LinkedIn Profile link Education details Contact number has to be on Resume :

Candidate Name

Contact No.

Email ID

Current Location

Visa

Rate

ExHCL

Candidate Details:

iTAP BR#

NA

Candidate Reference No.

NA

Full Legal Name:

First Name recorded in iTAP (Please share iTAP snippet)

Middle Name recorded in iTAP (Please share iTAP snippet)

Last Name recorded in iTAP(Please share iTAP snippet)

Rate

Consultant Location:

Contact Number:

Email ID:

Interested to Relocate (Yes/NO):

Skype ID: (Must)

Work Authorization (Must):

Validity of Visa (If applicable):

Availability for Onsite:

Earliest Availability to Join:

LinkedIn Profile: (Must)

Current and Last few employers:

Skill Rating

Mandatory Skills

Hands on experience in Years

Last used Year

SelfRating (Scale 110)

1.

2.

3.

4.

Mandatory Skills

Gen AI

Azure AI Search Azure Open APIS

Pyhton

HIPPA FHIR

Data Scientist Essential Job Functions:

Developing AI solutions using Azure services including Azure AI Search Azure OpenAI APIs and Azure SQL Database

Natural language processing using RAG architecture.

Manipulate data perform complex queries and conduct data transformations using SQL Server

Preprocess and clean large datasets efficiently using SQL/Python and other data manipulation tools.

Data normalization feature engineering and data augmentation.

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).

Deploying scaling and monitoring AI solutions on cloud platforms like Azure

Test planning and test cases design.

Test execution and defect management.

Agile testing practices and tools.

Data Scientist Preferred Qualifications:

• Knowledge of Python programming along with familiarity of popular AI libraries/frameworks such as Langchain TensorFlow PyTorch scikitlearn and spaCy.
• Indepth 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
• 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
• Understanding of knowledge graphs and graph data in building AI models.
• Experience with techniques such as data normalization feature engineering and data augmentation.
• 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 nontechnical stakeholders and collaborate with crossfunctional teams
• Analytical mindset with a keen attention to detail coupled with the ability to solve complex problems efficiently.
• Handson experience with Azure services related to Artificial Intelligence primarily in Azure Machine Learning Azure Cognitive Servies Azure Snowflake services etc.
• Deep understanding of AI algorithms data processing techniques
• Proficiency in testing methodologies including test planning test case design test execution and defect management.
• Knowledge of agile testing practices and tools
• Excellent communication and problemsolving skills with cross functional teams