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Urgent Roles for 1. Infor M3 Functional Consultant 2.GEN AI Architect 3.Data Ingestion lead at Remote, Remote, USA
Email: [email protected]
Hello Usjobs

My name is Monica Kapoor and I am the Recruiting Manager with The Dignify Solutions, LLC. I am reaching out to you for some exciting job opportunities with some of our Direct Clients.

We have the following most important & super urgent job opportunities with our multiple clients.                                                                    

If you have any available & qualified matching candidates, please send me a copy of your resume in word format along with the contact and following details ASAP.                                                                    

Full Candidate Name:                                                                    

Current Location:

Hourly rate on C2C:

Work Authorization:

Earliest Available date to start:

Date and times available to interview:

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Title: Infor M3 Functional Consultant

Location: Gainesville, TX

Minimum of 8 years IT experience

Minimum of 8 years working in Infor M3 Supply Chain Module with an In-depth Business process knowledge of Warehousing, Logistics, Procurement processes

Understanding of other modules of M3 like Order Management and fundamentals of MFG, MRP and Finance is a must

Familiar with Infor Implementation methodologies

Ability to develop/update Functional requirements / Specifications

Ability to develop test cases and execute test plans

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Title: GEN AI Architect

Location: Raritan, NJ

Bachelor/masters degree in computer science, Artificial Intelligence, Machine Learning, or a related field with 15+ years of experience

Should be from premier institute like IIT, NIT or equal.

2+ years of experience in developing and implementing Generative AI models, with a strong understanding of techniques such as GPT, T5 and BERT

Experience with LLMs OpenAI GPT and others

Experience in latest GenAI application development frameworks

Project management and governance experience preferred. Candidates with Technical and management skills given stronger preference.

Experience with handling customers at SLT and VP level.

Proficiency in Python and have 8+ years of experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras

Experience in developing Fast API and documentations

Experience working with SQL, NoSQL, Elastic, Files etc.

Strong knowledge of data structures, algorithms, and software engineering principles.

8+ years of experience with advanced natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face

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Role - Data Ingestion lead - Onsite

Location - Raritan, NJ

Project objectives:

Ingest Clinical Operations source system data to develop curated data models and products for Global Development / CODI domain.

Agile methodology will be utilized to design, build, and test data model and products for CODI use cases:

Skills:

Design the data models and products that have been prioritized by the client CODI team.

Coordinate with Client Global Development team to get sign-off version of the Business Requirement Document (BRD) which will have list of in-scope datasets and business rules to be applied.

Create/update data models, and Data Dictionary document.

Develop and implement processes for ingesting data from Clinical Operations source systems into Snowflake.

System Integration Testing

Create test scenarios, and test cases for system integrations testing (SIT) of defined requirements.

User Acceptance Testing (UAT)

Support Client CODI team with

Authoring defined test scripts.

UAT testing summary.

=====================================================================

Regards,

Monica Kapoor

Recruitment Manager

201-371-5222
     https://www.thedignify.com/

[email protected]

   50 California Street, San Francisco, CA 94111

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Keywords: artificial intelligence access management information technology California New Jersey Texas
Urgent Roles for 1. Infor M3 Functional Consultant 2.GEN AI Architect 3.Data Ingestion lead
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Wed Sep 18 19:47:00 UTC 2024

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