Data Engineer

DNS INFO LTD

Bournemouth, England, United Kingdom

Bournemouth, England, United Kingdom

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AIML, Machine Learning & Data Science. • Large Language Models(GPT, Claude), Generative AI, Retrieval Augmented Generation. • Agentic AI, CoPilot, MCPs. • AIML Algorithms(Regression, Classification, Decision Trees, KNN, K-Means) • Python (NLTK, NumPy, Scikit-learn, Pandas) Candidates will be expected to work on developing & implementing AIML Solutions for Test Automation in the Securities Processing space. This will entail building AIML Solutions for Test Generation, Test Prioritization, Defect Triage/Reporting, Code Coverage, Framework Migration/Setup. The role requires experience in AIML(LLMs, Gen AI & Agentic AI) & Python. The role will require proficiency in all aspects of AIML & Software Development including: • Knowledge of AIML & Python is must. • Ability to develop and implement Generative AI & Retrieval Augmented Generation solutions focused on software testing. • Experience with Large Language Models(GPT, Claude). • Hands- on experience with GitHub Copilot. • Must be a regular user of Agentic AI solutions and MCPs. • Deployment experience with Docker & Kubernetes to deploy the AIML solutions is good to have. • Front End experience in React to build front end for the AIML solutions is a plus. • Hands- on experience with Python libraries like(NLTK, NumPy, Scikit-learn, Pandas). • Knowledge of AIML algorithms (Regression, Classification, Decision Trees, KNN, K-Means) is preferred. • Experience with building, training & finetuning AIML models is a plus. • Bachelor’s degree in Computer Science or related field of study or equivalent relevant experience; demonstrated experience of Data Science & AIML with focus on quality assurance solutions. • Lifecycle principles and quality assurance processes and methodologies. • Experience with automated testing with good understanding of test automation frameworks. • Good grasp of SQLs. • Experience of working in an Agile environment, participating in sprint planning, backlog refinement, and retrospectives. • Must have excellent verbal and written skills being able to communicate effectively on both a technical and business level

Bournemouth, England, United Kingdom

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English

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