Cognitive Engineer Consultant (Developer) - Graduate Intern
Company: IBM
Location: Gary
Posted on: January 13, 2021
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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, Gary , Cognitive Engineer Consultant (Developer) - Graduate Intern, Professions , Gary, Indiana
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