We're seeking a seasoned machine learning engineer to spearhead the deployment of ai-powered products and pipelines.
you'll work with a global team that encourages thoughtful risk-taking and self-initiative.
what's in it for you:
* be part of a dynamic organization and build solutions at scale
* lead a highly skilled and technically strong team
* contribute to solving high complexity, high impact problems
you'll be responsible for designing, developing, and deploying machine learning powered products and pipelines, mentoring a team of senior and junior data scientists/ml engineers in delivering large-scale projects, and playing a central role in all stages of the ai product development life cycle.
responsibilities:
* design machine learning systems and model scaling strategies
* research and implement ml and deep learning algorithms for production
* run necessary ml tests and benchmarks for model validation
* fine-tune, retrain, and scale existing model deployments
* extend existing ml libraries 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 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
* open to learning new technologies and programming languages as required
* a master's/phd from a recognized institute in a relevant specialization
good to have:
* 5+ years of relevant experience in ml engineering
* prior substantial experience from the economics/financial industry
* prior work to show on github, kaggle, stackoverflow etc.