The OpportunityAs a Machine Learning Engineer on our team, you'll design, develop, and deliver machine learning solutions, decipher loosely defined problems using complex datasets, and determine appropriate analytical and modeling techniques.
You'll analyze structured and unstructured data, establish automated processes for large-scale modeling, perform exploratory analysis, and collaborate with peers on data acquisition and exploration, demonstrating a strong sense of ownership and urgency.Responsibilities Work on all aspects of the design, development and delivery of machine learning enabled solutions for our clients;Come up with solutions to loosely defined business problems by leveraging pattern detection over complex datasets across multiple platforms;Establish efficient, automated processes for large-scale modeling;Become part of a highly skilled and geographically distributed team;Collaborate with peers on problem definitions, data acquisition, data exploration, visualization as well as building the tools that support this process;Strong sense of ownership, urgency and drive.Qualifications Relevant experience in data science/ machine learning development;Bachelor and/or Master degree in Statistics, Mathematics, Physics, Computer Science or other related subject.Proficiency in Python.Experience with machine learning frameworks (like Keras, TensorFlow, or PyTorch) and libraries (like scikit-learn).Strong understanding of machine learning algorithms, processes, tools and platforms.Experience with container management and machine learning deployment frameworks, such as Kubernetes, Kubeflow and MLFlow.Big Data Hadoop work experience (either integrating the models with the tools in Hadoop or other).Software development experience from scoping, requirements design, development, integration, testing, go live to PROD (vs internal research work).Ability to work on distributed cloud platforms.Fluent English.Why Poatek?
In addition to being part of an international and innovative consultancy company, you will have:Flexible hours and autonomy;Work with cutting edge technologies;Partner with global and relevant brands in the market;Collaborative team and learning ecosystem;Career development plan & growth;International travel opportunities (optional).Some of our benefits: Health and dental plan;Life insurance;Monthly voucher for meals, culture, education, health and mobility;Child care assistance and more!#J-18808-Ljbffr