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Sr. Level Python Backend Engineers - need GenAI Exp at Remote, Remote, USA
Email: [email protected]
From:

Dinesh,

sktecinc

[email protected]

Reply to:   [email protected]

Job role : Sr. Level Python Backend Engineers - need GenAI Exp

Location : DALLAS BVILLE, NY ,  SUNNYVALE

IN OFFICE ONE TIME A WEEK

Navesh:

Java, Python (BE engineer) 60-40%

Framework needs a little work (integration experience) 

Best coding practices 

SDLC best practices 

Designing, Architecture experience.

Adaptable to the team and open to learning.

Kamal: 

Converting business requirements into Technical requirements. 

Architecture/System Design

Python 

Data Science experience (cleaning data, Creating models, Deploying models to production)

ML Ops 

Familiarity, Azure, GCP, Kubernetes

Building Gen AI agents (Chatbot, Etc) Gemeni, Chat GPT 

ML Engineering experience. Generate a business 

Kevan: 

Strong talent that can work in uncertainty situations 

Mix and match skill sets 

Job Description

As the Walmart Global Tech (WGT) Generative AI team, we are building completely new capabilities for our members and associates. This team member is part of the AI Labs organization and will build new Gen AI based experiences both in-house and in-collaboration with strategic partners. You will get to work on industry leading solutions and be at the forefront of this emerging platform.

About the Team:

As a member of Sam's Club and Walmart's Conversation & Generative AI team, we are focused on developing groundbreaking new features that allow our customers and members to effortlessly shop at Sam's Club and Walmart while findings efficiencies for our associates (home office and in-field). This team also contributes to the creation of frameworks and applications for both Associates and Members. Positioned within the AI Labs organization, our team is dedicated to crafting state-of-the-art Conversational Commerce experiences both in-house and in cooperation with strategic partners. Being part of this team offers the opportunity to work on pioneering solutions and be at the vanguard of the rapidly evolving conversational shopping platform.

What you'll do:

* Design, build, test and deploy cutting edge solutions at scale, impacting

millions of customers worldwide.

* Provide technical leadership, guidance and mentorship to a small

group of highly skilled and motivated engineers.

* Interact with Walmart engineering teams across geographies to leverage

expertise and contribute to the tech community.

* Engage with Product Management and Business to drive the agenda, set

your priorities and deliver awesome products.

* Writing and developing code; conducting unit testing; collaborating with

the project team and cross-functional teams; troubleshooting open issues

and bug-fixes; enhancing design to prevent re-occurrences of defects;

ensuring on- time delivery and hand-offs;

* Seek ways to improve software and its effectiveness.

What you'll bring:

8+ years of experience in design and development of consumer facing software.

Strong computer science fundamentals: data structures, algorithms,

design patterns.

Strong desire to drive change, and ability to adapt to change quickly.

Strong hands on development skills to prototype technical solutions.

Strong oral and written communication skills

Good problem-solving attitude and analytical skills

Ability to balance the long-term "big picture" and short term implications.

of design decisions.

Practical knowledge of agile software development methodologies

Advanced Java & Python development experience with building highly scalable applications

Proficiency in Azure & GCP

Familiarity with NLP techniques and related algorithms

Nice to have: Experience with Generative AI

Nice to have: Chat & Voice bot development experience.

Nice to have: Proficiency in ReactJS or Angular

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Thanks & Regards..

Dinesh

Sr. IT Recruiter

SK Tech

[email protected]

Keywords: artificial intelligence machine learning information technology New York
Sr. Level Python Backend Engineers - need GenAI Exp
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Tue Jul 16 21:21:00 UTC 2024

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