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We are seeking a Machine Learning Engineer / AI Engineer building production-grade AI solutions across LLMs, AI agents, and enterprise GenAI applications.
This role sits within an agile AI & ML engineering environment focused on developing scalable AI systems from experimentation through to deployment.
What you'll be working on:
Ideal background:
This is a strong opportunity for someone who enjoys solving real-world engineering challenges and wants to work on practical enterprise AI use cases rather than purely research-focused projects.
If you're interested, feel free to apply or reach out directly for a confidential discussion.
Job ID: 151426073
Skills:
Algorithms, data structures, Python, planning memory modules, retrieval graph algorithms, prompt engineering, Agent framework development, LLM fundamentals, RAG optimization, SFT for LLMs, fine-tuning workflows, RLHF
Skills:
Apache Spark, Tensorflow, Git, MLops, Pytorch, XGBoost, Python, LangChain, CrewAI, LSTMs, AWS Bedrock, RNNs, Scikit-learn, CI CD, LangGraph
Skills:
data wrangling , Rsa, Qlik Sense, Agile Development Methodologies, Sql, Data Visualisation, Tensorflow, Pytorch, Docker, Kubernetes, Python, DevSecOps practices, Microservices Architecture, Podman
Skills:
Ml, Tensorflow, Nlp, Pytorch, Python, multimodal fusion, Cv, MLLM, Agent technologies, DL, Llm
Skills:
Java, Devops, Hadoop, Scala, Spark, Python, Etl, Relational Databases, ML algorithms, data management technology, non-relational databases