Related skills
python pandas scikit-learn langchain numpy๐ Description
- Design, develop and deploy end-to-end ML solutions.
- Build predictive and generative models from large datasets.
- Apply statistical analysis to uncover patterns and correlations.
- Design agentic AI systems with multi-step reasoning and tool use.
- Develop RAG architectures integrating LLMs with data sources.
- Translate business problems into analytical solutions with product and engineering teams.
- Stay current with Agentic AI, LLMs, and ML research.
๐ฏ Requirements
- Proficiency in Python; pandas, NumPy, scikit-learn.
- Experience with Hugging Face Transformers and LangChain.
- Hands-on with vector databases (Pinecone) and embeddings.
- Strong ML knowledge: supervised/unsupervised, regression, classification, clustering, DL.
- Experience with RAG pipelines, tool-use, memory, planning.
- Excellent problem-solving and communication skills.
๐ Benefits
- NiCE-FLEX hybrid model: 2 days in office, 3 days remote.
- Global, growth-focused company with internal career opportunities.
- Collaborative, fast-paced environment.
- Equal opportunity employer with a broad presence.
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