AI Specialist

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 Lead Mandatory 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, CI-CD 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/semi-automated 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 open-Source Tools Good to have previous whitepaper submissions and IP filings Good to have skills : Experience with Mobility / Automotive / Manufacturing domain

Experience working on Agile Framework as part of a Product

Whitepaper submissions and IP filing