Job Description
Job description
Job Overview
The Senior Machine Learning Engineer will be responsible for developing and implementing machine learning models to improve business outcomes. Key responsibilities include data collection and curation, selecting appropriate annotated datasets for supervised learning methods, and implementing the right algorithms and tools for NLP tasks.
Additional responsibilities include developing ML/DL/NLP models according to requirements, training the developed model, and running evaluation experiments. The engineer will also perform statistical analysis of results, refine models, and extend ML libraries and frameworks to apply in NLP tasks.
The ideal candidate will have a deep understanding of NLP techniques, including text representation and semantic extraction techniques. Experience with NLP libraries and technologies, such as Spacy and NLTK, is also required. Proficiency in Python and basic libraries for machine learning, such as Numpy and Scikit-learn, is essential.
Experience with cloud environment AWS/GCP, Hadoop/Spark, SQL, Docker, Kubernetes, CI/CD, and Git is a plus. Experience with ML Ops is also desirable.
The Senior Machine Learning Engineer will work closely with the product and engineering teams to translate product requirements into technical solutions.
Functional Area:
Data Collection, Curation, Machine Learning, ML Ops, Hadoop, Spark, Docker, Kubernetes, Senior Machine Learning Engineer, Senior Machine Learning Jobs, Jobs for Sr ML Engineer, ML Engineer, DL, NLP, AWS, GCP, Artificial Intelligence
