AI Specialist
AI Specialist
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Job Description
Education and Work Experience Requirements: 6 years of experience with any Programming Language (preferably Python/ASP DotNET) Any professionally recognized Software Design Certification (e.g. Azure GCP AWS Certifications) preferred 3 years of experience as a Technical LeadMandatory Skills: Microservices (API design Architecture) Full Stack Experience Containerization (Docker Kubernetes) Experience in productionizing ML models in any of the cloud platforms AWS/GCP/Azure Comply with Security Recommendation Guidelines (preferably Azure) for deployed solutions Strong implementation experience with Python and familiarity with Linux/Unix/Shell environments AI/ML Frameworks (ML Flow KubeFlow) LLM Generative AI Experience (LLM Workflow Orchestration Prompt Engineering) DevOps (Git Jenkins Azure Pipelines Ansible CICD Pipelines) Experience in using code versioning tools like GIT bit bucket; building CI/CD pipelines for ML projects. Good to have experience in building automated/semiautomated model retraining pipelines. Security and Compliance Scalability Performance Optimization Superior verbal visual and written communication skills to educate and work with cross functional teams on controlled experiments. Familiar with Code Review (Automated Guided) PEP Standards Candidates with prior publications in the field of ML/DL LLM Cloud DevOps are highly preferred. Tech savvy and willing to work with openSource Tools Good to have previous whitepaper submissions and IP filingsGood to have skills :Experience with Mobility / Automotive / Manufacturing domain
Experience working on Agile Framework as part of a Product
Whitepaper submissions and IP filing
Qualifications :
BEBTech MCA or MTech
Additional Information :
10 12 yrs of Exp
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
