Machine learning Engineer (Hyderabad) at Zessta
We are looking for highly motivated self-starter Machine Learning engineer.Responsibilities:Select appropriate datasets and data representation methodsData mining using state-of-the-art techniquesAssess the effectiveness and accuracy of new data sources and data gathering techniquesCreate and maintain optimal data pipeline architectureAssemble large, complex data sets that meet functional / non-functional business requirementsDesign and developing machine learning systemsPerform statistical analysis and fine-tuning the modelsCoordinate with different functional teams to implement models and monitor outcomesImplement appropriate ML algorithms to develop and deploy AI models into production and maintain the quality and accuracy of the Model solutions during the deploymentsExtend existing ML libraries and frameworksSkills and Experience:Minimum 3 years of experience as a Machine learning EngineerExperience in deploying ML projects in production environmentProficient in R, Python, SQL and data visualization tools like TableauExcellent communication and presentation skillsStrong math skills (e.g. statistics, algebra)Good applied statistics skills, such as distributions, statistical testing, regression, etc.Experience in extensive data pre-processing and transformationKnowledge of Linear algebra, Probability theory, Statistics, Hypothesis Testing and Optimization techniquesWorking knowledge on the techniques like Descriptive and Inferential Statistics and performing basic predictive modellingWorking knowledge of various ML models and techniques like Statistics, Linear regression, Logistic regression, Decision tree, Random forest, XGBoost, Neural Networks, etc.Good understanding of ML tools/libraries like Tensorflow, Keras, Pandas, Spacy, Pytorch, NLTK, SkLearn etc.Hands on experience with Big Data technology stack like: Spark, HDFS, Hadoop, Hive, Pig is an added advantageParticipation in competitions conducted at online platforms like HackerRank and KaggleEducation:Bachelors or Masters from premier Institutes preferred .Experience 3-10 years
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