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Data MLOps Engineer with Azure || Remote at Remote, Remote, USA
Email: [email protected]
Greetings from ICONIC Infosys Inc !!

ICONIC Infosys Inc  is an IT Development
& IT Staffing firm with more than a decade of experience in providing IT
Staffing Solutions & Services. Our expertise is in sourcing and deploying
highly skilled IT Specialists into mainstream and niche technologies to meet

Role : Data
MLOps Engineer with Azure

Location Remote

Duration:
Long term

JOB Description:

Experience working within the Azure ecosystem,
including Azure AI Search, Azure Storage Blob, Azure Postgres and understanding
how to leverage them for data processing, storage, and analytics tasks.

Ability to preprocess and clean large datasets
efficiently using Azure Tools /Python and other data manipulation tools.
Experience with techniques such as data normalization, feature engineering, and
data augmentation is preferred.

To have background in Data Science/MLOps and
proficiency in DevOps, CI/CD, Azure Cloud computing and Model monitoring.

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.

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 a must.

Familiarity with chunking techniques and
working with vectors and vector databases like Pinecone.

Ability to design, develop, and maintain
scalable data pipelines for ingesting, processing, and transforming large
volumes of structured and unstructured data.

Experience with implementing best practices for
data storage, retrieval, and access control to ensure data integrity, security,
and compliance with regulatory requirements.

Be able to implement efficient data processing
workflows to support the training and evaluation of solutions using large
language models, ensuring reliability, scalability, and performance.

Ability to proactively identify and address
issues related to data quality, pipeline failures, or resource contention,
ensuring minimal disruption to systems.

Experience with large language model
frameworks, such as Langchain and know how to integrate them into data
pipelines for natural language processing tasks.

Experience working within the snowflake
ecosystem.

Knowledge of cloud computing principles and
experience in deploying, scaling, and monitoring AI solutions on cloud
platforms like Snowflake, Azure, AWS.

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. 

Please provide the below details for submission along with Visa
copy & Photo ID copy, I94/Passport#

Candidate Details

Candidate Full Name 
(As per SSN)

Current location (City
and State)

Open for relocation to
work location (Yes/No)

Contact/Phone #

E-mail Address

Visa Type Visa Validity
(Month & Year) /Work Authorization  

Date of Birth (Month &
Year Only)

Passport Number

Bachelors details (University
/College & Passing year)

Masters details (University/College
& Passing year)

Total IT experience
(Years)

Onsite [USA/Canada]
Experience (Years)

LinkedIn Profile

--

Thanks & Regards,
Naren
Email:[email protected]

--

To post to this group, send email to [email protected].

Keywords: continuous integration continuous deployment artificial intelligence information technology Idaho
Data MLOps Engineer with Azure || Remote
[email protected]
[email protected]
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12:15 AM 05-Feb-25


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