neteffects
Payrate:
up to 115/hr. W-2, based on experience. C2C available. Benefits:
Health, Dental & Vision Insurance is available. Health savings account, Flexible spending accounts, Life insurance and Retirement plan are also available. We are currently seeking an experienced
Python Developer - Data Engineer
type resource to assist our client in the development of a scalable, high-performance data and AI platform using Amazon Web Services (AWS). Must possess
AWS
with
deployment
automation using as
Terraform
and
Cloud Formation. This is an ‘onsite’ position (no hybrid). 1st Interview MS Teams (virtual) and 2nd interview is onsite/in-person (no exceptions). The ideal candidate will combine strong software engineering principles, including OOP, with deep expertise in cloud platform engineering to build robust data and AI platform that drive business insights and decision-making. Top daily responsibilities: Development of reusable
Python
libraries
for
Data
and
AI projects Development of
AWS
Infrastructure as Code ( IaC ) templates Development of
Data
and
AI
project
templates Other responsibilities include: Work directly with Data Scientists to develop high quality, reliable, scalable, machine learning systems Design and implement frameworks and tools to streamline the machine learning process Automate manual ML pipelines including model training, registration, promotion, and inferencing Leverage software architecture and design patterns to develop fault tolerant software components Convert research-based machine learning models into production-ready software Implement processes to ensure coding standards, code quality, documentation, and test coverage Design and implement cloud-native architectures following AWS best practices for security, scalability, and cost optimization Implement Infrastructure as Code (IaC) using tools like CloudFormation, Terraform, or CDK Establish CI/CD pipelines for platform deployments and automated testing Qualifications
(Must be on resume): 5+ years
of
programming
experience in
Python
building and developing large, distributed, mission critical systems AWS
with
deployment
automation using as
Terraform
and
Cloud Formation Data
pipeline
development expertise Experience in testing, packaging, and deploying machine learning models Experience in software engineering practices such as:
Design
Principles and
Patterns Unit Testing Refactoring CI/CD version control
Expertise in Object-Oriented Design ( OOD ) principals and Functional Programming Principals ( OOP ) Experience in implementing distributed computing systems Experience in
designing
modular, reusable
software
components Experience in
developing
API
endpoints
and
microservices Knowledgeable of MLOps Principles Knowledgeable of AWS data and AI services including Sage Maker, Lake Formation, Glue, and Athena All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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up to 115/hr. W-2, based on experience. C2C available. Benefits:
Health, Dental & Vision Insurance is available. Health savings account, Flexible spending accounts, Life insurance and Retirement plan are also available. We are currently seeking an experienced
Python Developer - Data Engineer
type resource to assist our client in the development of a scalable, high-performance data and AI platform using Amazon Web Services (AWS). Must possess
AWS
with
deployment
automation using as
Terraform
and
Cloud Formation. This is an ‘onsite’ position (no hybrid). 1st Interview MS Teams (virtual) and 2nd interview is onsite/in-person (no exceptions). The ideal candidate will combine strong software engineering principles, including OOP, with deep expertise in cloud platform engineering to build robust data and AI platform that drive business insights and decision-making. Top daily responsibilities: Development of reusable
Python
libraries
for
Data
and
AI projects Development of
AWS
Infrastructure as Code ( IaC ) templates Development of
Data
and
AI
project
templates Other responsibilities include: Work directly with Data Scientists to develop high quality, reliable, scalable, machine learning systems Design and implement frameworks and tools to streamline the machine learning process Automate manual ML pipelines including model training, registration, promotion, and inferencing Leverage software architecture and design patterns to develop fault tolerant software components Convert research-based machine learning models into production-ready software Implement processes to ensure coding standards, code quality, documentation, and test coverage Design and implement cloud-native architectures following AWS best practices for security, scalability, and cost optimization Implement Infrastructure as Code (IaC) using tools like CloudFormation, Terraform, or CDK Establish CI/CD pipelines for platform deployments and automated testing Qualifications
(Must be on resume): 5+ years
of
programming
experience in
Python
building and developing large, distributed, mission critical systems AWS
with
deployment
automation using as
Terraform
and
Cloud Formation Data
pipeline
development expertise Experience in testing, packaging, and deploying machine learning models Experience in software engineering practices such as:
Design
Principles and
Patterns Unit Testing Refactoring CI/CD version control
Expertise in Object-Oriented Design ( OOD ) principals and Functional Programming Principals ( OOP ) Experience in implementing distributed computing systems Experience in
designing
modular, reusable
software
components Experience in
developing
API
endpoints
and
microservices Knowledgeable of MLOps Principles Knowledgeable of AWS data and AI services including Sage Maker, Lake Formation, Glue, and Athena All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#J-18808-Ljbffr