Roles on C2C (April 1)-----------USC/GC Only----------------Dot Net with Python and React - DLTJP00053398-----------AI ML data analyst with Databricks

kannan G

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10:14 AM (2 hours ago) 10:14 AM

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Hello

How are you,

Email me if you have matching resources for the below requirement on C2C with expected pay rate - kan...@multivision-inc.com

LinkedIn is Mandatory for the role. Contact me only through email

Please do not call/chat on WhatsApp – Kind Request

Dot Net with Python and React - DLTJP00053398

Location – Hybrid (2 Days onsite at nearby Deloitte office) ----------- Tampa FL / Hermitage, Nashville TN

Client: Deloitte

VISA: USC/GC Only-----------------Do not approach for any other VISAS

Must be 15+ Years

Max Rate: $75/hr on C2C ($70/hr on C2C for remote)

Checklist: (Please do not share resumes without the experience listed below)

.Net & Azure --------------- Years
Microsoft - SQL Azure--------------- Years
Azure PAAS--------------- Years
Python--------------- Years
Angular / React--------------- Years
AI ML--------------- Years

AI ML data analyst with Databricks

Location – Onsite (Need only locals in Chicago)

Client: Deloitte

VISA: USC/GC Only-----------------Do not approach for any other VISAS

Must be 12+ Years

Max Rate: $65/hr on C2C

Checklist: (Please do not share resumes without the experience listed below)

Role Summary

We are seeking an experienced offshore Contractor to contribute to the development and maintenance of various tools in the Diagnostic-Assist value stream.

This role requires a strong technical foundation and the ability to work collaboratively to drive continuous improvement within the Centralized Managed Support Operations (CMSO) organization.

Role Context

The candidate will be assigned to one of two tools currently under development in the Diagnostic-Assist value stream.

LOGICA (Log Collection & Analytics)
GENEVA (GENerative EVents Analytics)

Key Technical Skills:

Must have - Proficiency in Python Programming, Strong knowledge of Linux operating systems
Extensive knowledge of AI supervised, unsupervised, GenAI LLM, and Python libraries to perform data analysis, building advanced machine learning models and data integrations with source systems
Design APIs for performance, real-time applications, scale, ease of use, and governance automation.
Training ML models to effectively communicate complex data insights through clear and informative visualizations
Knowledge and experience in Cloud Environments (AWS, Azure, GCP)
Experience in building and deploying end-to-end data pipelines using cloud and Docker services, experience with Kubernetes
Strong knowledge of CI/CD, test automation, and DevOps
Ability to integrate data, sourcing data from several Sources including databases, files, API, and Server logs.
Drive requirements for AI-related projects, work with internal customers and with ServiceNow and Salesforce Product Managers for features planning, prioritization and implementation
Strong quantitative and statistical skills
Apply GenAI, ML, and DL concepts, NLP in real-world applications to solve business problems
Develop application-specific interfaces that leverage GenAI capabilities and LLMs
Familiarity with common frameworks such as PyTorch, TensorFlow, Keras, NLTK, or spaCy
Familiarity and experience with Databases like Postgres, Redshift, MSSQL