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)
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.
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