Senior Artificial Intelligence Engineer, having expertise in Chat-bot development and implementation. Job Location : Remote Experience Range : 4 to 6 Years Job Description Design, build, and deploy scalable generative AI models for real-world applications. Lead research and development of advanced techniques in NLP, computer vision, and multimodal AI. Optimize large language models (LLMs) for performance and cost-efficiency. Collaborate with cross-functional teams to integrate AI models into products. 4-6 years of experience in machine learning, with a focus on generative models. Proven track record of building and deploying AI models in production. Experience leading projects and mentoring junior engineers. Nice-to-Haves Experience with RLHF (Reinforcement Learning from Human Feedback) for fine-tuning models. Familiarity with vector databases and retrieval-augmented generation (RAG) techniques. Experience in chat bots, voice agents, data science is must (ref:hirist.tech) Show more Show less

Scope This role will have special focus on promoting DevOps model to increase developer productivity through well well-orchestrated automated services in various stages of continuous integration and continuous delivery DevOps Engineer must have a very deep understanding of various development tools and technologies This is a hands hands-on technical role but with a high degree of collaboration and raise the maturity levels of the Continuous Delivery practices Own Continuous Delivery specifications, quality, release deployments and monitoring of production health Enable developers to ship high quality products and features with an end end-to -end mindset from conception to delivery and production support Strong hands across all cloud environments GCP, Azure and AWS HandsHands-on experience and high familiarity with Kubernetes Job Description Serve as key expert on DevOps practices Implement and support Continuous Integration and Deployment Pipelines. Schedule, implement, and automate security compliance patching and updates on Development and QA servers. Ensure continuous availability of various tools supporting SCM & Release Management including Source Control, Continuous Integration, & Change Management. Engage with cross cross-functional co co-located teams in design, development and implementation of enterprise scalable features related to enabling higher developer productivity, environment monitoring and self self-healing, and facilitate autonomous delivery teams. Support, troubleshoot and analyze code on all 3 layers of the stack related to infrastructure, middleware, and continuous int egration and delivery frameworks. Responsible for deploying code and other proactive maintenance activities to keep the services up and running Production Release Implementation plan and Install Support Developer Efficiency Tools (Focusing on Freeing up Development staff to focus on deliverables) Integrating Code Quality tools and Code Analysis tools into IDEs Implementing Automation to improve coding efficiency Integrations with each SCM Tools CI/CD Onboarding Mentor junior members in the team Work collaboratively across team boundaries to share common capabilities Must Have Startup Experience Kubernetes certified AWS/Azure certified Product company experience Good Academics (ref:hirist.tech)