Home

Urgent role of ML Ops Engineer at Alpharetta, GA or New York at Alpharetta, Georgia, USA
Email: [email protected]
From:

Akshat,

Tanishasystems.inc

[email protected]

Reply to:   [email protected]

Greetings..!!

My name is Akshat, and I am a Technical Recruiter at Tanisha Systems Inc. Tanisha Systems Inc is a global contingency staffing firm servicing. We have an excellent job opportunity with one of our clients.

DO NOT SHARE ANY CPT,OPT,GC, GCEAD, USC CANDIDATES. 

Role: ML Ops Engineer

Location: Alpharetta, GA or New York(3 days onsite in a week)
Locals only

Type: Contract(
C2C)//Fulltime

Job Description:

Design machine learning systems, and oversee the platform on which the solutions would be deployed. Create ML model training, validation and hyper-parameter search pipelines

Partner with Analytics and AIML teams to develop and analyze features at scale. Provide SME level interface for team members to optimize their workflows, streamline operationalization and reduce time-to-market

Contribute to adoption of CI/CD (DevOps), Data Ops and ML Ops practices within Data analytics, AIML and Visualization domains

Develop distributed applications on-prem as well as on Cloud that scale to serve ML models, analytics, rules, web-applications, and Visualizations for end-users

Production deployment and Model monitoring to ensure stable performance and adherence to standards

Develop libraries to ease development, monitoring and control of data and models

Evaluate state-of-art AIML-centric technologies and prototype solutions to improve our architecture and platform

Work with business teams to understand requirements and develop relevant solutions. Create presentations / visualizations for the leadership and business that would be able to explain complex outcomes and emphasize business impact.

Define best practices, guidelines, and guard-rails for AIML Development and Operationalization. Create a strategic roadmap to increase adoption and adherence to standards.

Lead data science and engineering team in a distributed agile framework

Skill Set:

Primary skills

Experienced professional with 12+ years of experience working towards design, architecture, development, and operationalization of Artificial Intelligence and Machine Learning models across Big Data Ecosystem (Hadoop, Spark, Kafka, MongoDB) as well as Cloud Platforms (Databricks, MLFlow, GitHub, AKS, and Snowflake)

Proficiency in applied Machine Learning (End-to-End) Lifecycle and Operationalizing AIML models in Production

Experience in architecture, design, and implementation of data intensive applications for practical use-cases

Programming Languages and Frameworks Expertise in Python, (Py)Torch, (Py)Spark, Advanced SQL, and Shell (Scripting)

Expertise in Data analytics and Data wrangling through complex and optimized Python / Spark / SQL

Experience working on cloud platforms Azure (Databricks, Snowflake), AWS, and their respective offerings

Experience and understanding across key SQL and NoSQL datastores as well as Stream Data processing (Kafka) and Workflow orchestration technologies

Flair for Data analytics and Machine Learning and an intuitive understanding on how to bring efficiency in Analytics and ML life cycle

Regards

Akshat Kumar

E: - 212 729 6543 EXT 688  

[email protected]

www.tanishasystems.com

linkedin.com/in/akshat-kumar-7245821a2

99 Wood Ave South, Suite # 308, Iselin,

New Jersey, NJ 08830, USA

Keywords: continuous integration continuous deployment machine learning access management green card Georgia New Jersey
[email protected]
View all
Thu Oct 26 18:03:00 UTC 2023

To remove this job post send "job_kill 792240" as subject from [email protected] to [email protected]. Do not write anything extra in the subject line as this is a automatic system which will not work otherwise.


Your reply to [email protected] -
To       

Subject   
Message -

Your email id:

Captcha Image:
Captcha Code:


Pages not loading, taking too much time to load, server timeout or unavailable, or any other issues please contact admin at [email protected]
Time Taken: 8

Location: Alpharetta, Georgia