Machine Learning Engineer
Indexed description
aEURc Software Testing (manual testing, testing automation, performance testing, outsourcing, training and certification, etc.)
aEURc Cyber aEUR aEURc DevOps/DevSecOps aEURc Implementation and Customization of Atlassian & OpenText products (MicroFocus) and other niche products/solutions aEURc AI based Decision Intelligence solutions. Requirements a-aBuild, train, and deploy machine learning models efficiently using the managed infrastructure and automation capabilities of AWS SageMaker; a-aUse Amazon Redshift and S3 for data storage, processing and analysis; a-aUse Apache Spark and Airflow for large-scale data processing and networking; a-aManage and optimize machine learning workflows on Amazon EMR; a-aKnow the Python programming language and data libraries (eg: NumPy, Pandas, Scikit-learn) for data processing, elaboration and analysis. Techstack: Airflow, AWS, Kafka, EMR, Sagemaker, Spark, Python, Tensorflow, S3, SQL. Responsibilities a-aStudy and transform data science prototypes a-aDesign machine learning systems a-aResearch and implement appropriate ML algorithms and tools a-aDevelop machine learning applications according to requirements a-aSelect appropriate datasets and data representation methods a-aRun machine learning tests and experiments a-aPerform statistical analysis and fine-tuning using test results a-aTrain and retrain systems when necessary a-aExtend existing ML libraries and frameworks a-aKeep abreast of developments in the field
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