Givzey
Machine Learning Engineer
Givzey, Newton, Massachusetts, United States, 02165
Machine Learning EngineerWe're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions. In this role, you'll have the opportunity to shape and create our machine learning capabilities from the ground up. You'll be at the forefront of innovation, designing and implementing ML systems that drive our business forward.
Responsibilities:Design, develop, and implement machine learning models and algorithmsAnalyze large datasets and extract meaningful insightsCollaborate with cross-functional teams to integrate ML solutions into existing systemsOptimize ML models for performance and scalabilityStay current with the latest advancements in machine learning and AICreate and implement big data processing pipelines and architecturesDesign and build scalable data infrastructure to support ML applications
Requirements:Bachelor's or Master's degree in Computer Science, Data Science, or related field3+ years of experience in machine learning or AI developmentStrong proficiency in Python and its ML/data science libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas)Solid understanding of machine learning algorithms and statistical modelingExperience with big data technologies (e.g., Hadoop, Spark, Kafka)Proven ability to create and implement big data solutions from scratchComfortable setting up and managing distributed computing environmentsExperience in designing and implementing data pipelines for large-scale data processingProficient in working with various database systems, both SQL and NoSQL, depending on the use caseStrong skills in data modeling and database design for machine learning applicationsExcellent problem-solving and analytical skillsStrong communication skills and ability to work in a team environment
Preferred Qualifications:Experience in creating and managing real-time data streaming architecturesAWS Certified Machine Learning - Specialty or AWS Certified Big Data - SpecialtyExperience with AWS machine learning servicesProficiency in using AWS big data servicesKnowledge of serverless architectures on AWS (e.g., Lambda)Experience in creating and managing real-time data streaming architectures on AWS (e.g., Kinesis)Understanding of AWS security best practices for machine learning and data processing workflows
What you’ll do day-to-day:Be a member of a world-class team focused on inventing solutions that have the ability to impact the worldTackle a wide variety of technical problems throughout the stack and contribute daily to all parts of our product code baseHelp build a beautiful, intuitive product that revolutionizes the nonprofit industryWork closely with our customers, founders, team members and Board to understand customer pain points, develop solutions, and prototype, iterate, and deploy code on regular cycles
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Responsibilities:Design, develop, and implement machine learning models and algorithmsAnalyze large datasets and extract meaningful insightsCollaborate with cross-functional teams to integrate ML solutions into existing systemsOptimize ML models for performance and scalabilityStay current with the latest advancements in machine learning and AICreate and implement big data processing pipelines and architecturesDesign and build scalable data infrastructure to support ML applications
Requirements:Bachelor's or Master's degree in Computer Science, Data Science, or related field3+ years of experience in machine learning or AI developmentStrong proficiency in Python and its ML/data science libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas)Solid understanding of machine learning algorithms and statistical modelingExperience with big data technologies (e.g., Hadoop, Spark, Kafka)Proven ability to create and implement big data solutions from scratchComfortable setting up and managing distributed computing environmentsExperience in designing and implementing data pipelines for large-scale data processingProficient in working with various database systems, both SQL and NoSQL, depending on the use caseStrong skills in data modeling and database design for machine learning applicationsExcellent problem-solving and analytical skillsStrong communication skills and ability to work in a team environment
Preferred Qualifications:Experience in creating and managing real-time data streaming architecturesAWS Certified Machine Learning - Specialty or AWS Certified Big Data - SpecialtyExperience with AWS machine learning servicesProficiency in using AWS big data servicesKnowledge of serverless architectures on AWS (e.g., Lambda)Experience in creating and managing real-time data streaming architectures on AWS (e.g., Kinesis)Understanding of AWS security best practices for machine learning and data processing workflows
What you’ll do day-to-day:Be a member of a world-class team focused on inventing solutions that have the ability to impact the worldTackle a wide variety of technical problems throughout the stack and contribute daily to all parts of our product code baseHelp build a beautiful, intuitive product that revolutionizes the nonprofit industryWork closely with our customers, founders, team members and Board to understand customer pain points, develop solutions, and prototype, iterate, and deploy code on regular cycles
#J-18808-Ljbffr