{"schemaVersion":"jobsearcher.job.v1","id":"5bf9f66ee4ad0a257dc9251a","url":"https://jobsearcher.com/jobs/5bf9f66ee4ad0a257dc9251a","canonicalUrl":"https://jobsearcher.com/jobs/5bf9f66ee4ad0a257dc9251a","title":"Machine Learning Engineer","description":"Sr. Machine Learning EngineerDuration: 12 -24 MonthsLocation: Merrimack, NH/ Smithfield, RI/ Westlake, TX/ Durham, NC/ Covington, KY/ Jersey City, NJ/ Boston, MACandidate should be local or willing to work onsite on any of the above locations for 5 days/ monthThe Expertise And Skills You BringBachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.)8+ years of proven experience in implementing Big data solutions in data analytics space2+ years of experience in developing ML infrastructure and MLOps in the Cloud using AWS SagemakerExtensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement requiredExperience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python's ML ecosystem (numpy, panda, sklearn, tensorflow, etc.)Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworksData movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologiesStrong knowledge of developing highly scalable distributed systems using Open-source technologiesExperience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent)Solid experience in Agile methodologies (Kanban and SCRUM)Strong technical design and analysis skillsAbility to deal with ambiguity and work in fast paced environmentExperience supporting critical applicationsFamiliarity with applied data science methods, feature engineering and machine learning algorithmsData wrangling experience with structured, semi-structured and unstructured dataExperience building ML infrastructure, with an eye towards software engineeringExcellent communication skills, both through written and verbal channelsExcellent collaboration skills to work with multiple teams in the organizationAbility to understand and adapt to changing business priorities and technology advancements in Big data and Data Science ecosystemRequired Skills : Basic Qualification : Additional Skills : Please do not send junior candidates, Need 10 plus years of experience.","company":"Samprasoft","rawCompany":"samprasoft","city":"Covington","state":"KY","isRemote":false,"isActive":false,"createdAt":"2026-06-26T02:32:28.080Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data 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BringBachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.)8+ years of proven experience in implementing Big data solutions in data analytics space2+ years of experience in developing ML infrastructure and MLOps in the Cloud using AWS SagemakerExtensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement requiredExperience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python's ML ecosystem (numpy, panda, sklearn, tensorflow, etc.)Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworksData movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologiesStrong knowledge of developing highly scalable distributed systems using Open-source technologiesExperience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent)Solid experience in Agile methodologies (Kanban and SCRUM)Strong technical design and analysis skillsAbility to deal with ambiguity and work in fast paced environmentExperience supporting critical applicationsFamiliarity with applied data science methods, feature engineering and machine learning algorithmsData wrangling experience with structured, semi-structured and unstructured dataExperience building ML infrastructure, with an eye towards software engineeringExcellent communication skills, both through written and verbal channelsExcellent collaboration skills to work with multiple teams in the organizationAbility to understand and adapt to changing business priorities and technology advancements in Big data and 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