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Machine Learning Engineer
1 month ago
To support the needs of our clients, Avanade is activelyrecruiting and interviewing for the role outlined below as we continue to buildon another year of growth in our business. Now, with more than 60,000 employeesaround the globe, we are positioning our organization to effectively preparefor the future. What does this mean for you? We encourage you to apply andinterview for this role without the need to decide now. This allows you toconnect with leaders and hiring managers at a pace that works for you and whenroles become available, you will be the first to know.
We are looking for experienced MachineLearning Engineers with extensive hands-on experience in machine and deeplearning, statistical modeling, and software development, proven scientificresearch skills, and technical leadership. You will be part of team to developanalytics solutions based on machine learning & statistical predictivealgorithms for clients of Data & AI.
Togetherwe do what matters.
Hands-on experience in data science, machine learning and statistical analytics.Experience in data analytics, BI, data warehousing, a data platform development or other relevant hands-on technical experience.Experience in MLOps frameworks and tools, Ml Model deployment and maintenance Understanding of structured and unstructured data analysis, streaming data, IoT, artificial intelligence, NLP and related topical analytics fields.Experience in implementing/deploying ML solutions in Azure or other cloud platformsKnowledge of neural networks and transformersCharacteristics that can spell success for this roleAnalytical, curious, agileTeam player and good communicatorProblem-solver, patient, quality-drivenSelf-motivatingInnovative mindsetDesigning machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.Transforming data science prototypes and applying appropriate ML algorithms and toolsTurning unstructured data into useful information by auto-tagging images and text-to-speech conversions.Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.Developing ML algorithms to analyze huge volumes of historical data to make predictions.Running tests, performing statistical analysis, and interpreting test results.Some of the best things about working at AvanadeOpportunity to work for Microsoft’s Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications) Real-time access to technical and skilled resources globally Collaborate with some of the brightest “Microsoft minds”Build your expertise, solve problems, learn, and develop Find out more about some of our benefits here.
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