- Company Name
- CSI GLOBAL LTD
- Job Title
- Artificial Intelligence Engineer
- Job Description
-
Job Title: Artificial Intelligence Engineer
Role Summary:
Design, develop, and deploy AI solutions for complex business problems. Lead end‑to‑end functional and process design, prototype building, testing, and training. Collaborate with engineering and executive teams to articulate architecture, lessons learned, and support procedures.
Expectations:
Deliver high‑quality AI models and pipelines on schedule. Communicate results and recommendations clearly to stakeholders. Maintain model performance through drift detection, monitoring, and iterative improvement. Ensure secure, scalable, and compliant AI deployments.
Key Responsibilities:
- Conduct functional and scenario design, flow mapping, and prototyping.
- Articulate and document solution architecture and lessons learned.
- Assess AI feasibility for use cases, propose alternatives, and recommend solutions.
- Develop classification, clustering, embedding, and text extraction models.
- Implement drift detection, model monitoring, and, when applicable, AgentEvals for large‑language models.
- Perform data preparation, wrangling, modeling, and extraction.
- Design and model relational and NoSQL databases.
- Build CI/CD pipelines with GitHub and Jenkins.
- Create document type classifiers, PII extraction, and standardized form markers.
- Participate in Agile ceremonies, deliverable reviews, and sprint planning.
- Identify security threats, recommend mitigations, and support secure deployment of AI services.
Required Skills:
- 5–7 years of machine learning / data science experience.
- Proficiency in Python, PyCharm, NumPy, pandas, TensorFlow, and deep learning frameworks.
- Experience with supervised/unsupervised algorithms, particularly classification.
- Strong data modeling, SQL (MySQL/PostgreSQL), and NoSQL design.
- Version control (Git), CI/CD (Jenkins), and DevOps fundamentals.
- Knowledge of drift detection, model monitoring, and feature generation.
- Familiarity with NLP, computer vision, clustering, embedding models.
- Experience in agent evaluation for LLMs, PII identification, pattern matching, and document classifiers.
- Agile methodology experience and effective communication skills.
- Security awareness for data, model, and application layers.
Required Education & Certifications:
- Bachelor’s degree or higher in Computer Science, Engineering, or related field.
- Certifications in machine learning, deep learning, or cloud AI services are a plus.
Sheffield, United kingdom
Hybrid
Mid level
10-11-2025