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Job Description :We are looking for a seasoned Machine Learning Engineer specialized in Large Language Models (LLMs) to drive the development and deployment of cutting-edge AI solutions.
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Collaborate with data scientists and analysts to support machine learning initiatives and advanced analytics. You will be responsible for designing, developing, and maintaining scalable data pipelines, optimizing data flow, and enabling advanced analytics and machine learning initiatives.
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Your Team & Role: As a Senior Data Engineer, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve may different products and services.
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The Analytics Experience team, which is part of the Artificial Intelligence, Data and Advanced Analytics (AIDA) organization is responsible for the creating a seamless experience for analytics experts to harness the potential of big data, machine learning, and interactive analytics through a unified platform across the enterprise – from scientific/clinical to commercial across all Pfizer geographies.
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As a staff engineer, you will partner with your team and partner teams like machine learning, and Ads to create and improve scalable, fault tolerant, self-serve systems. Excellent communication skills to collaborate with stakeholders in engineering, data science, machine learning, and product.
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DATA STRUCTURES AND ALGORITHMS In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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This role is responsible for all data services in public cloud including relational databases, NoSQL databases, BigData, messaging and streaming, and analytics and machine learning.
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Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Hands on experience with Data pipeline, Data Lake technologies Databrick, spark/hadoop, Snowflake Preferred qualifications, capabilities, and skills.
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Machine Learning Data Engineer. Work alongside machine learning engineers for building duplicatable and high scale ML data pipelines. Continuously work alongside machine learning engineers to gather requirements, propose solutions, and implement observable, repeatable, and scalable ML data pipelines.
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5+ years of experience in a Data Scientist or Machine Learning Engineer role required. Full JD: AI/ Machine Learning Engineer (Data Science Platform.
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Qualifications: Extensive experience in data engineering, data analysis, and machine learning. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
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Expertise in machine learning techniques, classification, clustering, and deep learning. Proven experience as a Data Scientist with a track record of developing and deploying predictive ML models.
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2-5+ years of experience in wide range of statistical and machine-learning techniques (e.g. time series analysis, NLP, deep learning and etc.) 2-5+ years of experience in wide range of statistical and machine-learning techniques (e.g. time series analysis, NLP, deep learning and etc.
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Job Title: AI/Machine Learning Data Engineer. Master’s Degree in Computer Science / Data Science / Artificial intelligence /Machine Learning. Projects or internship or experience with Data Science, AI or Machine learning.
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Cloud, artificial intelligence, machine learning, mobile, Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies like React, Cypress, Npm Experience in AWS/Big Data is a big plus Exposure to cloud technologies.
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machine learning jobs Title: data engineer in Jersey City, NJ
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