Data Annotator – Ecological AI Research

Job description Must-Have

Extensive hands-on experience of frameworks and libraries:

• Proficient in scikit-learn and SciPy for ML algorithms

• Hands-on experience within python with PyTorch and experience in developing enterprise python applications

• Skilled in natural language processing tasks (entity recognition, tokenization etc)

• Strong knowledge of API/Microservices, Async programming, multithreading, pe...rformance, reliability, caching, event driven design, data pipelines, workflows, queues

• Hands-on with Amazon SageMaker for building, training, and deploying scalable machine learning models in cloud.

• Experience of Building rapid applications using FastAPI and Streamlit, Matplotlib, seaborn enabling prototyping.

• Good understanding of Software Engineering, Architecture, testing, code quality principles and test driven development (TDD)

Should-Have

Generative AI & LLMs

• Proficient in context-aware prompts to drive optimal performance from LLMs for summarization, reasoning, extraction, and classification tasks.

• Hands-on experience in designing intelligent retrieval pipelines that combine vector databases like FAISS with semantic search mechanisms.

• Should have Developed intelligent agents capable of reasoning, planning, and tool use by leveraging frameworks such as ReAct, LangChain/Langgraph.

• Experience of Clustering techniques and classification models. Show full description Report this listing Loading...