[xrecnet] ML Engineer/ Architect (Digital : Machine Learning, Digital : Artificial Intelligence(AI) /// Newark, NY (Remote Until Covid)

ML Engineer/ Architect (Digital : Machine Learning, Digital : Artificial Intelligence(AI)

Newark, NY (Remote Until Covid)

6+ Months 

 

Required Skills:

 

8+ years of software engineering experience with a minimum of 3+ years as hands-on Cloud Engineer focused on AI/ML infrastructure and development experience in lead roles as a designer, architect & support

Understanding of various phases of model development and deployment along with implementation knowledge of deploying one or more data science frameworks such as XGBoost, TensorFlow and PyTorch in a stable production environment  

Experience deploying streaming, real time and batch-based applications using various services of cloud platforms        

Knowledge and experience of using integration tools & technologies to migrate diverse & complex integration systems & applications to the Cloud          

Advanced proficiency with Python framework and hands on experience in Java, and Scala

Worked with RESTful microservices and NoSQL data stores such as S3, Cassandra, Hive, Elasticsearch etc.     

Bachelors or master's degree in computer science, computer engineering, or a related engineering field with strong computer science and software engineering fundamentals           

Excellent communication and collaboration skills

Experience in using and building use cases on ML platforms like AWS SageMaker is a plus

AWS Certified Solutions Architect or similar certifications would be an advantage

Partner with application and infrastructure teams to analyze complex AWS environments; design & communicate elegant and pragmatic architecture(s) for productionizing data science models in AWS Sage Maker platform.

Develop new platform services and technologies that enable migration of on-prem ML Models from Spark-Scala to AWS and the eventual decommissioning of on-prem models.

Develop tools and best practices for platform development, developer productivity, automation (MLOps, CI/CD, A/B testing), and production operations.

Design, Develop & deliver critical components, frameworks, services, and products using AWS Sage Maker, Lambda, and container technologies in AWS.

Develop processes, model monitoring, and governance framework for successful ML model operationalization.

Define objectives for the AWS Machine Learning platform, own the technical roadmap, and be accountable for delivering results and making our ML customers successful.

Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations.

Assist in gathering and analyzing non-functional requirements, and translate that into technical specifications for robust, scalable, supportable solutions that work well within the overall system architecture.

 

Regards,

 
Satya
Technical Recruiter

Key Business Solutions, Inc|| Office: 916 646 2080 Ext 216 || Fax: 916 646 2081 || Email: satya@keybusinessglobal.com || Website: www.key-soft.com || Yahoo IM/G Talk: satyakeysoft 

Notice: This email is not intended to be a solicitation.  Please accept our apologies and reply in the subject heading with REMOVE to be removed from our Mailing list. Thank You.

 

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