distributed systems, data pipelines, and observability tools. Hands-on experience with languages and tools like Ruby, Java, React, GraphQL, AWS/GCP, and Kubernetes. Bonus: Experience with vector databases, LLM frameworks (e.g., LangChain, RAG), and open-source AI tools. Excellent communication, collaboration, and problem-solving skills. Strong organizational skills with a passion for continuous improvement. Agile Practices: Demonstrated success with More ❯
Excellent communication skills, adept at making measurement engaging, accessible, and actionable for diverse audiences; measurement storytelling. Experience in B2B marketing analytics and marketing intelligence, or B2B consulting Experience with LLM, Gen-AI techniques Experience with CRM platform technology and data structures Experience working directly with engineering and technical teams Experience using python, SQL or similar querying language Suggested Skills Stakeholder More ❯
tools (e.g., Tableau) Experience handling large, inconsistent, or non-standard datasets with attention to accuracy and detail Understanding of medallion architecture and related data concepts Knowledge of ML or LLM applications, front-end development (Streamlit, Dash, React), or financial reporting is a plus Typically 3-5 years' experience in a Data Engineer or equivalent role Analytical, proactive, and solutions-oriented More ❯
SaaS and/or platform companies, including 5+ years in AI and data-intensive environments Proven track record of launching enterprise capabilities leveraging AI/ML workflows including modern LLM, SLM, LAM, Reasoning, Multi-Modal based generative approaches Experience designing and scaling data platforms (batch and real-time), data pipelines, and systems that power enterprise-grade AI solutions; preferably leveraging More ❯
Previous experience in contact center technologies (CCAAS, IVR, ITR, Chatbots, Conversational AI). Previous experience in RPA or Process Automation Previous experience in AI or ML technologies preferably using LLM's. OTHER SKILLS: Confidence and strong presentation skills to drive large portions of long customer meetings. Strong customer presence, especially with senior client executives. Approachable and someone who loves to More ❯
knowledge. Seeks opportunities to drive process improvement. Required Qualifications, Capabilities And Skills Bachelors degree Proven track record in product development/Change management Working knowledge of Alteryx, Tableau, JIRA, LLM Suite, Confluence Working knowledge of Agile methodology Strong analytical and problem-solving skills. Able to identify root causes of problems and to evaluate information with sound judgement, attention to detail More ❯
Azure and AWS. A self-starter who takes ownership, enjoys learning and sharing knowledge, and has a practical, down-to-earth approach. Nice to have Experience testing AI/LLM-based solutions, including model accuracy, correctness, and performance validation. Familiarity with Azure OpenAI Service, AWS Bedrock, or similar AI platforms. Experience testing OfficeJS applications or add-ins. Background in the More ❯
We tend to look for people with: Bachelor's degree or equivalent in commercial law, business administration, supply chain management, or a related field. Advanced degree (i.e. Master's, LLM) is desirable. Qualifications and/or experience in relation to project management/process improvement methodologies e.g. Agile, Lean Six Sigma preferred. SKILLS & ABILITIES Strong expertise in contracting processes (buy More ❯
metrics: you will analyze data and collaborate with stakeholders to create new insights leveraging the latest and greatest data from our data set, including the recent outputs of our LLM classifying system. Qualifications Bachelor's Degree in Computer Science, Information Technology, Business Administration, or a related field is typically required. Professional certifications such as Certified Business Analysis Professional (CBAP) or More ❯
metrics: you will analyze data and collaborate with stakeholders to create new insights leveraging the latest and greatest data from our data set, including the recent outputs of our LLM classifying system. Qualifications Bachelor's Degree in Computer Science, Information Technology, Business Administration, or a related field is typically required. Professional certifications such as Certified Business Analysis Professional (CBAP) or More ❯
Infrastructure as Code (CloudFormation, Terraform), CI/CD (Jenkins, GitHub Actions), Observability (AWS, Grafana). Development tools: GitHub, Jira, Notion, ChatGPT, Gemini, LangChain, AI-native IDE's (Cursor, JetBrains), LLM-powered internal tools. Test automation: Cypress (E2E), Postman (API), Jest (frontend unit), PHPUnit (backend unit), JUnit (Android), XCTest (iOS). WHAT WE OFFER YOU A front-row seat in a More ❯
for data applications. Familiarity with serverless/event-driven architectures. Experience designing scalable, low-latency data services. Exposure to Datadog or CloudWatch monitoring tools. Nice to Have: Experience with LLM-powered applications or OpenAI APIs . Professional experience in a similar environment or high-scale system. Key Roles and Responsibilities: Own Data Solutions – Design, build, and operate cloud-native, high More ❯
entire ML lifecycle-from data processing and model training to evaluation and deployment. You will collaborate with cross-functional teams to create reusable, efficient solutions tailored for large-scale LLM projects. Our client is a global leader renowned for pioneering innovations in computer software, personal computers, and mobile tablets, transforming the tech landscape. The team uses advanced machine learning frameworks More ❯
Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys,LargeLanguage Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role can be on-site hybrid working or a remote position in the UK, Poland or More ❯
effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, LargeLanguage Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role can be on-site hybrid or a remote position in the UK, Poland or Portugal. More ❯
models that run on limited hardware to complex multi-modal architectures that integrate data such as text, images, and audio. We expect you to have deep expertise in largelanguagemodel architectures and substantial experience in fine-tuning optimization. You will adopt a hands-on, research-driven approach to developing, testing, and implementing new fine-tuning techniques and algorithms. Your More ❯
and optimizing AI-powered customer service solutions - Experience with AI/ML technologies in contact center applications, including Natural Language Understanding (NLU), Natural Language Processing (NLP), prompt engineering, largelanguagemodel implementation, chatbot development and optimization, and AI/ML model training and fine-tuning - Serverless development experience including complex integrations with Amazon Lex, Lambda, Kinesis, Dynamo DB, Bedrock and More ❯
documentation, delivery, and maintenance). About the team The Alexa Conversational Modelling Intelligence team is looking for a passionate, talented, and inventive Principal Scientist to help build industry-leading LLM-based conversational technologies that customers love. Our mission is to push the envelope in LLMs for Alexa, in order to provide the best-possible customer experience for our customers. BASIC More ❯
communication skills. Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences. Nice to have skills/experiences: Experience building LLM applications using tools such as Langchain. Experience in Information Retrieval systems for document question answering. Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy More ❯
platform. Leverage automation and intelligent workflows to enhance observability, policy enforcement, and team productivity. - Implement AI-Powered Security Workflows: Integrate AI/ML agents-including Microsoft Security Copilot and LLM-based copilots-into operational pipelines for tasks such as incident triage, control validation, and telemetry summarization. Ensure models and agents are used securely and responsibly. - Orchestrate Security Automation: Lead the More ❯
in the field of machine learning. Experience in the field of programming languages (e.g. lambda calculus, type theory, combinatory logic). Experience in the field of automated code discovery (LLM-based, AutoML, evolutionary, or meta-learning-based). Post-doctoral research experience. About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new More ❯
tracking KPIs, and deriving insight. Knowledge of a second language (French, German, Italian, or Spanish) is preferred but not essential. A high level of technical understanding of how GenAi & LLM models work is desirable. Why join us? Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best More ❯
the customers Lead Backend Engineer Work closely with ML Engineers, App Developers, and Data teams for integrated feature delivery Design and build RESTful APIs to expose AI models and LLM prompt-based services Integrate trained ML models into backend systems supporting real product features Build and maintain infrastructure for data ingestion, processing, and secure storage Support full end-to-end More ❯
with Python. Previous involvement designing new products (e.g. research engineer embedded in a product team working on something novel). Designed and built (as an individual contributor) systems involving LLM pipelines as components. Ability to translate high-level strategic objectives into technical roadmap with regular milestones. An advanced degree in Computer Science, Physics, Applied Mathematics, Electronic Engineering, or similar. Reasonable More ❯
senior stakeholders to combine domain knowledge with engineering expertise. What you'll bring 3+ years experience in machine learning algorithms, software engineering, and data mining models, withlarge language modelling (LLM) experience being advantageous. A background in maths, statistics, and algorithms, with the capability to write robust scalable Python code. A strong understanding of the mathematical and statistical fundamentals on which More ❯