Data / ML Platform Engineer (Python batch pipelines)

Role: Data / ML Platform Engineer (Python batch pipelines)

Location: Tampa, FL

Data / ML Platform Engineer (Python batch pipelines) : Owns the Python evaluation pipelines that run model benchmarks, load datasets from cloud storage, call LLM APIs, and write structured results to MongoDB (resumable batch jobs). 

Role Descriptions: Angular and Dot NetExperience RequiredShould have experience working as Full stack developer in Angular Dot Net agilescrum projectsprograms experience with great communication and team management skills.Roles ResponsibilitiesThe Full stack Developer will have the following responsibilities Produce minimal and clean code with more reusability and reviewfix code by other developers in the team Following and implementing the latest coding trends| trickshacks and best practices along with conveying the message to the other team members Develop and implement low-latency| highly performant server-side components by writing efficient| reusable| and maintainable code Leverage available toolssystems to proactively identify and resolve defects Good knowledge on Dot Net| Angular| Flux. Implement effective security protocols and data protection measures Bachelors Degree and 5-7 years of experience as a developer 6 years of experience on web development including both Angular. Expert knowledge of responsive design| media queries and mobile CSS frameworksCloud Development (Azure or Aws)Generic Managerial SkillsGood communication skills and good in team managementEducationStart date (dd-mmm-yy)08162021Duration of assignment (in Months)6 MonthsWork Location USARates payable to vendor hr58 per hourKey words to search in resumeAngular| Dot NetPrescreening Questionnaire1)Have you worked in AgileScrum projects2)Has the associate worked as FullStack Developer (Dot Net and Angular) in past four years3)
Essential Skills: Data ML Platform Engineer (Python batch pipelines) Owns thePython evaluation pipelinesthat run model benchmarks| load datasets from cloud storage| call LLM APIs| andwrite structured results to MongoDB(resumable batch jobs).