Data Scientist - AI
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Summary
Data Scientist at HCLTech in London who extracts insights from complex datasets and builds AI/ML solutions, with a focus on generative AI and LLMs. Core stack is Python on AWS/Azure, predictive modeling and clustering/classification, plus big data tooling (Spark, Hadoop, Tableau) and ideally MLOps tooling like LangChain, Hugging Face, Docker and Kubernetes.
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Required Skills and Qualifications
- Strong commercial experience in Python development for data science and machine learning applications.
- Proven experience working with Generative AI models, including Large Language Models (LLMs) and AI-powered solutions.
- Knowledge and hands-on experience with cloud platforms, preferably AWS and/or Microsoft Azure.
- At least 1 - 2 years' of experience in quantitative analytics or data modeling
- Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
- Fluency in a programming language (Python, C,C++, Java, SQL)
- Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
Desirable Skills & Experience
- Familiarity with MLOps, AI governance, and responsible AI practices.
- Experience with modern AI frameworks and tooling such as LangChain, Hugging Face, OpenAI, Bedrock, Azure AI Services, or similar technologies.
- Knowledge of containerization and deployment technologies such as Docker and Kubernetes.