Senior machine learning engineer position
we are looking for a highly skilled senior machine learning engineer to join our team. As a key member of the data transformation - cognitive engineering team, you will be responsible for building and deploying ml powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions.
this is an exceptional opportunity to spearhead deployment of ai products and pipelines while leading-by-example in a highly engaging work environment. You will work in a global team and be encouraged for thoughtful risk-taking and self-initiative.
key responsibilities:
design, develop and deploy ml powered products and pipelines
mentor a team of senior and junior data scientists / ml engineers in delivering large scale projects
play a central role in all stages of the ai product development life cycle, including designing machine learning systems and model scaling strategies, researching & implementing ml and deep learning algorithms for production, running necessary ml tests and benchmarks for model validation, fine-tuning, retraining and scaling existing model deployments, extending existing ml library's and writing packages for reproducing components, partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements, interpreting results and presenting them to business leaders, managing production pipelines for enterprise scale projects, performing code reviews & optimization for your projects and team, and leading and mentoring by example, including project scrums
requirements:
proven track record as a senior / lead ml 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 ml & deep learning domain
solid exposure to information retrieval, web scraping and data extraction at scale
exposure to the following technologies - r-shiny/dash/streamlit, sql, airflow, redis, celery, flask/django/fastapi, scrapy
experience with sota models related to nlp and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures
a master's / phd from a recognized institute in a relevant specialization
benefits:
be a part of a global company and build solutions at enterprise scale
lead a highly skilled and technically strong team (including leadership)
contribute to solving high complexity, high impact problems
build production ready pipelines from ideation to deployment
work environment:
you will work in a global team and be encouraged for thoughtful risk-taking and self-initiative.
location: mexico city (2 days onsite)