URGENT REQ for AI ARCHITECT at Raritan, NJ - ONSITE at Raritan, New Jersey, USA |
Email: [email protected] |
From: Abhishek Mukherjee, Appian Infotech [email protected] Reply to: [email protected] Hi, Abhishek Mukherjee here from Appian InfoTech. I am looking for an AI Architect at Raritan, NJ- ONSITE. Please, let me know if youre interested in this Job Role. The JD has been attached below for your reference. AI Architect Raritan, NJ (ONSITE) Responsibilities Defining, designing and delivering ML architecture patterns operable in native and hybrid cloud architectures. Research, analyze, recommend and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio Requirements Hands-on programming and architecture capabilities in Python, Java, R, or SCALA Minimum 6+ years of Experience in Enterprise applications development (Java, . Net) Experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Topic Modeling, Game Theory, Mechanism Design, etc. ) Strong hands-on experience with statistical packages and ML libraries (e. g. R, Python scikit learn, Spark MLlib, etc. ) Experience in effective data exploration and visualization (e. g. Excel, Power BI, Tableau, Qlik, etc. ) Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc. ) Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra, Hbase, Hive, HDFS Work experience as Solution Architect/Software Architect/Technical Lead roles Experience with open source software. Excellent problem-solving skills and ability to break down complexity. Ability to see multiple solutions to problems and choose the right one for the situation. Excellent written and oral communication skills. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and related technologies. Developing AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications. In-depth experience in AI/ML and Data analytics services offered on Amazon Web Services and/or Microsoft Azure cloud solution and their interdependencies. Specializes in at least one of the AI/ML stack (Frameworks and tools like MxNET and Tensorflow, ML platform such as Amazon SageMaker for data scientists, API-driven AI Services like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with a simple API call). Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, MLOps, Model Deployment approaches and Model monitoring and tuning. Keywords: artificial intelligence machine learning access management business intelligence rlang New Jersey |
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Mon Feb 05 22:21:00 UTC 2024 |