Remote Generative AI Engineer at Insight Global #vacancy #remote

Key responsibilities associated with this position:

  • Designing, developing, and implementing generative AI models that can produce new content (text, audio, image, video) based on existing data.
  • Tuning and refining existing generative AI models to enhance performance, adapt to new data, or meet project requirements.
  • Integrating AI models into existing systems or creating new systems around the models.
  • Implementing multimodal AI solutions that integrate text, image, audio, and video data.
  • Designing and deploying autonomous AI agents capable of complex tasks without direct human intervention.
  • Integrating machine learning, computer vision, and natural language processing technologies to enhance agent capabilities.
  • Automating routine tasks and optimizing business processes by deploying agents using open-source frameworks.
  • Evaluating various LLM (Language Model) responses over ground truth datasets and user interactions for retrieval-augmented generation models and customer personalization applications

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to . To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: . Required Skills & Experience -At least 5 years of relative Generative AI experience -Knowledge of Azure cloud services, including : OpenAI, ML/AI Studio, App Services, AI Search, CosmosDB, and ADLS.

  • Experience with creating training curriculums and experiments for SOTA Computer Vision and LLM models.
  • Experience evaluating multiple model responses and generate model metrics through inference scripts in an automated fashion in cloud.
  • Familiarity with various Vector and NoSQL Databases in cloud for storing image, audio, video, text unstructured data
  • Familiarity with generative AI algorithms and their strengths and weaknesses.
  • Strong programming skills in Python.

Experience with Docker/containerization and CI/CD (Continuous Integration/Continuous Deployment) using tools like Azure DevOps and git. -Understanding of Generating AI: LLMOps (Low-Level Model Operations), implementing RAG Pattern, Model and RAG evaluations/metrics Nice to Have Skills & Experience Familiarity with Bicep/Terraform IaC (Infrastructure as Code). Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. #J-18808-Ljbffr

azure-bicep azure-cosmosdb Git GenAI Natural language processing (NLP) CI/CD Infrastructure as Code (IaC) Artificial intelligence (AI) Python Terraform Azure ADLS vector Docker audio Machine Learning Azure DevOps NoSQL video Retrieval-Augmented Generation (RAG) computer-vision LLM

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