Required Skills

AWS SageMaker Azure Machine Learning Google AI Platform

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 1st May 2024

JOB DETAIL

•       Design and develop the architecture for ML platforms and solutions.
•       Select and implement appropriate ML algorithms and tools based on business requirements and data characteristics.
•       Collaborate with data scientists, data engineers, and software engineers to ensure the successful integration of ML models into production systems.
•       Oversee data pipelines and ensure data quality for training and deploying ML models.
•       Monitor and evaluate the performance of ML models, identifying opportunities for improvement and retraining.
•       Stay up-to-date on the latest advancements in ML research and best practices.
•       Develop and implement strategies for managing model bias and ensuring the ethical use of AI.
•       Communicate complex technical concepts to both technical and non-technical stakeholders.
•       Mentor and guide junior team members on ML architecture best practices.
Qualifications:
•       Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
•       Strong understanding of machine learning concepts, algorithms, and frameworks.
•       Experience designing and developing scalable, distributed systems.
•       Experience with cloud platforms (AWS, Azure, GCP) is a plus.
•       Excellent communication and collaboration skills.
•       Proven ability to translate business goals into technical requirements.
•       Experience working in an Agile development environment is a plus.
 

Company Information