ArchitectureDesignDevelopment - AI Developer III

4 weeks ago

Mon Village, India V R Della Infotech Inc Full time

Job Description: Max Bill rate is BR/hr.this role involves traveling to client location 34 days in a monthexpenses incurred by the client. Candidate should be either in ESTor CST time zone.

We are seeking a highlyskilled and experienced MLOps Engineer to join our team in USA. Youwill play a crucial role in building and maintaining theinfrastructure and pipelines for our cuttingedge Generative AIapplications working closely with the Generative AI Full StackArchitect . Your expertise in automating and streamlining the MLlifecycle will be instrumental in ensuring the efficiencyscalability and reliability of our Generative AI models inproduction.
Responsibilities
Design develop andimplement MLOps pipelines for generative AI models encompassingdata ingestion preprocessing training deployment andmonitoring.
Automate ML tasks across the model lifecycleleveraging tools like GitOps CI/CD pipelines and containerizationtechnologies (e.g. Docker Kubernetes).
Develop andmaintain robust monitoring and alerting systems for generative AImodels in production ensuring proactive identification andresolution of issues.
Collaborate with the Generative AIFull Stack Architect and other engineers to optimize modelperformance and resource utilization.
Manage and maintaincloud infrastructure (e.g. AWS GCP Azure) for ML workloads ensuringcostefficiency and scalability.
Stay uptodate on thelatest advancements in MLOps and incorporate them into our platformand processes.
Communicate effectively with technical andnontechnical stakeholders about the health and performance ofgenerative AI models.
Qualifications we seek inyou:
Minimum qualifications
Bachelors degree inComputer Science Data Science Engineering or a related field orequivalent experience.
8 years of experience in MLOps orrelated areas such as DevOps data engineering or MLinfrastructure.
Proven experience in automating MLpipelines with tools like MLflow Kubeflow Airflow etc.
Expertise in cloud platforms (e.g. AWS Azure) for MLworkloads.
Strong understanding of CI/CD principles andcontainerization technologies like Docker and Kubernetes.
Familiarity with monitoring and alerting tools for ML systems (e.g.Prometheus Grafana).
Excellent communicationcollaboration and problemsolving skills.
Ability to workindependently and as part of a team.
Passion forGenerative AI and its potential to revolutionize variousindustries.
Preferred Qualifications/ skills
Experience with Agile methodology delivery and handson leadershiprole
Proven Track record of continued and recent handsonexperience as full stack architecture
Additional Sills: Skills: Category Name Required Importance Experience No items to display.

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