Tasks:
- * Build evaluation orchestration and retrieval pipelines
- * Build LLM applications for enterprise workflows
- * Contribute to engineering practices and mentor team members
- * Design and deploy AI and machine learning solutions
- * Detect model drift and maintain production reliability
- * Develop scalable AI APIs and services
- * Implement model monitoring, versioning, and experiment tracking
- * Operationalize machine learning and NLP models
- * Partner with product, platform, security, and business teams
- * Prepare data and optimize model performance
- * Promote responsible AI, explainability, and governance
- * Translate business requirements into technical solutions
Perks/Benefits:
- + Career development opportunities
- + Collaborative colleagues
- + Diverse and inclusive culture
- + Flexible working hours
- + Paid parental leave
- + Remote or mobile working
- + Training and development programmes
Skills/Tech stack required:
[Anthropic API] [Cohere API] [Deep learning] [Embeddings] [Faiss] [FastAPI] [Fine Tuning] [Flask] [Git] [Langchain] [Language Processing] [Llamaindex] [Machine Learning] [Mistral API] [MLflow] [MLOps] [Model Evaluation] [Model Fine-tuning] [Natural Language] [Natural Language Processing] [Neo4j] [NumPy] [OpenAI API] [Pandas] [Pinecone] [Prompt engineering] [Python] [PyTorch] [Retrieval-Augmented Generation] [Scikit-learn] [SQL] [TensorFlow] [Transformers] [Weaviate]
Educational requirements:
[Bachelor's Degree] [Master's Degree]
Role(s):
[AI Engineer] [Engineer] [Generative AI Engineer] [Learning Engineer] [Machine Learning Engineer] [MLOps Engineer] [Senior AI Engineer] [Software Engineer]