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*Job Description*
------------------------
Min 2 years Experience as Tech lead and 10 years as developer

*The Team:*

As a member of the Commodity Insights you will work on building and deploying Client powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions. You will be responsible for the management, deployment and optimization of Client Models and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative.

*What's in it for you:*

Exciting tasks and the team with own product development in the space of intelligent data solutions based on Machine Learning

*Responsibilities:*

Play a central role in all stages of the AI product development life cycle, including:
Designing Machine Learning systems and model scaling strategies Research & Implement Client and Deep learning algorithms for production Run necessary Client tests and benchmarks for model validation Fine-tune, retrain and scale existing model deployments Extend existing Client library's and write packages for reproducing components Partner with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Interpret results and present them to business leaders Manage production pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Lead and mentor by example, including project scrums

*Technical Requirements:*

Proven track record as a Client engineer
Expert proficiency in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Excellent exposure to large scale model deployment strategies and tools Excellent knowledge of Client & Deep Learning domain Solid exposure to Information Retrieval, Web scraping and Data Extraction at scale Knowledge in AWS Technologies: Terraform, CFT, Lambda, Fargate, ECS and also in SQL, Docker and Django.
Experience with SOTA models related to NLP like Classification, Summarization, Phrase extraction, Table Extraction and OCR Open to learning new technologies and programming languages as required

*Good to have:*

4+ years of relevant experience in Client Engineering
Prior substantial experience regarding document processing

Last updated on May 31, 2023

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