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key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using More ❯
with an emphasis on scalability, performance, and reliability. AI Engineering: Build, test, and optimize generative AI features using platforms such as OpenAI, Claude, and Gemini, including fine-tuned custom models and evaluation pipelines. Prompt Engineering: Design, iterate, and test prompt strategies to improve model accuracy, robustness, and responsiveness across More ❯
Experienced in Generative AI and natural language processing (NLP) techniques such as large-scale transformer models and generative pre-trained LLMs (GPT-4, Claude, Gemini, and beyond) Knowledgeable of the latest developments in diffusion models and other generative frameworks for both text and image generation Competent in Generative AI More ❯
AI-powered agents, assistants, and tools to streamline workflows and enhance productivity. AI Engineering: Build, test, and optimize generative AI features using OpenAI, Claude, Gemini, and fine-tuned custom models. Prompt Engineering: Craft, iterate, and test prompt strategies to improve accuracy and responsiveness. Cross-Functional Collaboration: Partner with engineering More ❯
Experience with Microsoft Azure and Microsoft Power Platform. AI Tools: Demonstrable ability to create custom GPT's and Chatbots using AI Tools (we use GoogleGemini API (and Notebook LM), Anthropics Claude AI, Microsoft CoPilot, and OpenAI's Chat GPT). Demonstrate a keen interest in financial products More ❯
e.g., GCP, AWS, Azure) and their data services. Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus. Understanding of AI tools like Gemini and ChatGPT is also a plus. Excellent problem-solving and communication skills. Ability to work independently and collaboratively in a fast-paced environment. More ❯
training in either Sprinklr, Amazon Connect, Genesys Cloud CX or Microsoft Dynamics 365 Contact Centre. · Proficiency in generative AI tools such as OpenAI GPT, GoogleGemini, and Amazon Bedrock. · Strong grasp of customer journey analytics and contact centre optimisation strategies. · Experience integrating CCaaS platforms with enterprise systems like More ❯
leveraging AI to enhance their SaaS product. Experience required: Experience with Large Language Models (LLMs) including hands-on work with ChatGPT, Microsoft Copilot, Claude, Gemini, and Mistral Strong machine learning prototype development skills The ability to develop AI prototypes with clear interaction points Expertise in AI-driven data extraction More ❯
worldwide. The Role As a Staff Backend Engineer, you'll play a critical role in scaling an AI-first platform, enabling foundation models like Gemini Pro to analyze multimodal data at scale. You'll work closely with the founders and engineering leadership to design robust, high-performance architectures that More ❯
a huge impact, shaping the platform, shipping to production daily, and working closely with founders. Expect challenges at scale, from applying foundation models like Gemini Pro to crafting a seamless UX that blends AI + human collaboration. Tech Stack Backend : Elixir (Erlang) & Phoenix (prior experience not required) Frontend : Vue.js More ❯
rules, and sector developments to ensure best practices in delivery. Essentials: Relevant experience in digital support roles, including experience with AI solutions (e.g., ChatGPT, Gemini, Copilot). Teaching or assessing qualification (e.g., A1 Assessor Award, CAVA, PTLLS, or equivalent). Experience in coaching, mentoring, and assessing management apprentices. Strong More ❯
We blend cutting-edge research with real-world application, continuously iterating and improving Tech Stack AI & Data : Python, LangChain, LlamaIndex, LangGraph Models : OpenAI, Anthropic, Gemini, Custom Models Data & Infrastructure : DBT, BigQuery, PostgreSQL, OpenSearch, Redis, AWS, Google Cloud Product Development : TypeScript (Full-stack) What We’re Looking For Proven More ❯
principles and data structures Ability to reason through complexity, with strong decision-making around performance and scalability Exposure to AI/LLM technologies (e.g. Gemini) and enthusiasm to explore their potential in product Bonus experience in: Google Cloud Platform (GCP, Flutter and NestJS If you’re excited to More ❯
to join our team and contribute to building innovative AI-powered solutions. The role involves designing, developing, and deploying models using Vertex AI and Gemini LLM to automate document extraction, classification, and analysis. Key Responsibilities: Design, develop, and deploy DocAI models using Vertex AI and Gemini LLM for … and Natural Language Processing (NLP). Required Skills: Strong proficiency in Python programming. Experience in designing and deploying AI models using Vertex AI and Gemini LLM. Ability to optimize models for performance and scalability. Excellent collaboration skills to work with SMEs and cross-functional teams. Up-to-date knowledge More ❯
