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Cognitive Engineer Consultant (Developer) - Graduate Intern

Company: IBM
Location: Cranston
Posted on: January 13, 2021

Job Description:

Introduction At IBM, work is more than a job - it's a calling : To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. Your Role and Responsibilities WHAT DOES AN IBM COGNITIVE ENGINEER CONSULTANT INTERNSHIP OPPORTUNITY OFFER? - Consulting experience and client facing interaction on challenging projects - Networking with IBM leadership and professional development and training activities - Working in a collaborative and dynamic environment - Receiving a competitive compensation package with the potential for full-time career opportunities - Mentoring to help you envision what a career at IBM could be like WHAT WILL YOU DO AS AN IBM COGNITIVE ENGINEER CONSULTANT INTERN? We offer exceptional consulting opportunities to work with some of the brightest minds in the business within the Analytics and Cognitive Computing domains, specifically in the areas of Big Data, Cognitive Computing, Data Science. Our Cognitive Engineer Consultants work as members of engagement teams, often at client sites, to bring value to our clients, as well as part of high-impact internal teams developing industry-leading assets and models. You'll join a team that combines sophisticated data analytics with market-leading global solutions, deep industry insight and business consulting expertise. Our opportunities are in one of the following core skill areas: DATA SCIENCE / MACHINE LEARNING ENGINEER - Responsible for successful delivery of data science solutions and services in a client consulting environment. In this role, you will: - Lead strategy discussions and help to design and develop a solution that meets client's goals and outcomes - Define key business problems to be solved and formulate mathematical approaches and gather data to solve those problems, develop, analyze/draw conclusions, test solutions and present to client. - Leverage your experiences in predictive modeling, optimization, and/or machine learning analytics techniques using tools/programming languages including Python, R, Spark, etc. as well as ML Deployment capabilities like Docker, Container, Microservices, Kubernetes within a Big data-enabled environment - Demonstrate End to End understanding of a Model Development Lifecycle and frameworks with a focus on implementation libraries/packages/APIs (e.g. scikit-learn, Theano, Spark MLlib, H2O, TensorFlow etc.) - Enhance performance by applying advanced mathematical modeling, data analytics, optimization, and machine learning techniques - Implement new, highly scalable platform components and tools leveraging machine learning and deep learning models to solve real-world problems in areas such as speech recognition, natural language processing and time series predictions - Deploy packaged solutions using tools/frameworks such as React JS, Flask, Maven etc. - Conduct real world statistical A/B testing scenarios and fine tune models based on feedback COGNITIVE COMPUTING - Provide business insights to IBM clients through innovative solutions and services for unstructured data using the best of breed open AI software and tools. For example: - Natural language processing by helping to understand the complexities of unstructured data - Hypothesis generation and evaluation by applying advanced analytics to weigh and evaluate a panel of responses based on only relevant evidence - Dynamic learning by helping to improve learning based on outcomes to get smarter with each iteration and interaction. This combination delivers a powerful solution: - To move beyond the constraints of programmatic computing - To move from reliance on structured, local data to unlock the world of global, unstructured data - To move from decision tree-driven, deterministic applications to probabilistic systems that coevolve with their users - To move from keyword-based search to an intuitive, conversational means of discovering a set of confidence-ranked responses. If your expertise is with unstructured data and advanced analytics; ability to apply semantic correlation, ontology and text analytics techniques and systems to analyze non-structured data and identify critical insights for overall business analytics across various domains. Experience in analyzing text, streams, documents, social media, speech and video with emerging Hadoop-based big data, NoSQL, Natural Language Processing (NLP), Search and Text analytics technologies and techniques. Possess solid skills in Java or C++ development and a good understanding of working with Hadoop, Artificial Intelligence (AI) or other cognitive computing technology. BIG DATA & ANALYTICS - Provide business insights to IBM clients through innovative solutions and services for both structured and unstructured data. - If your expertise is working with structured data; apply methods, techniques & technologies that address data architecture, integration and governance of data. Utilize experience in database concepts, data modeling; data integration including design and architecture. Master data management, including customer data strategy, product data strategy and organizational hierarchy, and Information (data) Governance including strategy, implementation, business glossary, metadata and industry frameworks. Tasks include data mapping, detailed data analysis and metadata analysis and providing hands-on business knowledge working with database developers, DBAs, architects, data quality analysts, and other teams while seamlessly managing client relationships within context of individual role. - If your expertise is working with unstructured data; ability to apply semantic correlation, ontology and text analytics techniques and systems to analyze non-structured data and identify critical insights for overall business analytics across various domains. Experience in analyzing text, streams, documents, social media, speech and video with emerging Hadoop-based big data, NoSQL, Natural Language Processing (NLP), Search and Text analytics technologies and techniques. Possess solid skills in Java, C++, Python, or Scala development and a good understanding of working with Hadoop. FULL STACK ENGINEER - As a Full Stack Engineer, you will work on these solutions across the entire tech stack. You will work with databases, distributed systems, microservices, message bus/queues, and frontend user interfaces. - Develop highly scalable microservices / RESTFUL Services and APIs - Develop user-friendly interfaces and dashboards, translation of designer mockups and wireframes into front end code - Write unit and integration tests - Build instrumentation and metrics for monitoring and alerting systems - Document your work Research and implement new technologies to solve customer problems

Keywords: IBM, Cranston , Cognitive Engineer Consultant (Developer) - Graduate Intern, IT / Software / Systems , Cranston, Rhode Island

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