{"schemaVersion":"jobsearcher.job.v1","id":"b38281977eb70cb51d274e3a","url":"https://jobsearcher.com/jobs/b38281977eb70cb51d274e3a","canonicalUrl":"https://jobsearcher.com/jobs/b38281977eb70cb51d274e3a","title":"Machine Learning Engineer","description":"Job responsibilities:Responsible for coding and testing customized analytical models of medium to high degree of complexity.\r\nMust be able to implement best practices when writing and testing code.\r\nFamiliarity with the life cycle of a data science project and extensive experience with python is a must.\r\nRequires strong interpersonal and communication skills, operational Elasticsearch knowledge and ability to construct GUI interfaces\r\nGathers, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business.\r\nSelects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs\r\nProven experience in developing models using Regression, Decision trees, Bayesian networks, Random Forest, Logistic regression, Support vector machine, Gradient boosting algorithms, Clustering algorithms and Dimensionality Reduction Algorithms.\r\nProven experience in building and implementing Timeseries and forecasting models.\r\nExperience in Deep Learning model development using TensorFlow, Keras, PyTorch\r\nHands on experience in building ML workflows\r\nExperience in Model implementation, Governance, and monitoring.\r\nResponsibilities include Performing the code development of complex analytic algorithms and paradigms, perform a clear breakdown of the analytic functionality and separate it into working modules.\r\nWorking experience in Python, R and SQL\r\nExperience in Python data science packages such as numPy, SciPy and SciKit-learn\r\nNice to Have:Fluent with Natural Language Processing and text analytics libraries (NLTK, SpaCy)\r\nExperience with Data Science Platforms (Dataiku, H2o, Azure…)\r\nExperience with 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Support vector machine, Gradient boosting algorithms, Clustering algorithms and Dimensionality Reduction Algorithms.\r\nProven experience in building and implementing Timeseries and forecasting models.\r\nExperience in Deep Learning model development using TensorFlow, Keras, PyTorch\r\nHands on experience in building ML workflows\r\nExperience in Model implementation, Governance, and monitoring.\r\nResponsibilities include Performing the code development of complex analytic algorithms and paradigms, perform a clear breakdown of the analytic functionality and separate it into working modules.\r\nWorking experience in Python, R and SQL\r\nExperience in Python data science packages such as numPy, SciPy and SciKit-learn\r\nNice to Have:Fluent with Natural Language Processing and text analytics libraries (NLTK, SpaCy)\r\nExperience with Data Science Platforms (Dataiku, H2o, Azure…)\r\nExperience with one of Subversion/SVN, Git, GitHub, GitLab, Mercurial, or other version control system\r\nExperience with cloud platforms AWS, Azure, GCP a plus\r\nKnowledge in Big Data, Hadoop, HIVE/HQL, HDFS, Spark/PySpark, Kafka\r\nFamiliar working in an AGILE environment#J-18808-Ljbffr","datePosted":"2026-08-18T01:09:05.337Z","dateModified":"2026-08-18T01:09:05.337Z","hiringOrganization":{"@type":"Organization","name":"TechDigital Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Antonio","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b38281977eb70cb51d274e3a"},"url":"https://jobsearcher.com/jobs/b38281977eb70cb51d274e3a"}}