Artificial Intelligence Resume Samples

The Guide To Resume Tailoring

Guide the recruiter to the conclusion that you are the best candidate for the artificial intelligence job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

Craft your perfect resume by picking job responsibilities written by professional recruiters

Pick from the thousands of curated job responsibilities used by the leading companies

Tailor your resume & cover letter with wording that best fits for each job you apply

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

CHOOSE THE BEST TEMPLATE - Choose from 15 Leading Templates. No need to think about design details.

USE PRE-WRITTEN BULLET POINTS - Select from thousands of pre-written bullet points.

SAVE YOUR DOCUMENTS IN PDF FILES - Instantly download in PDF format or share a custom link.

Create a Resume in Minutes

D Kuhn

Daphne

Kuhn

26956 Zemlak Island

Dallas

+1 (555) 279 2034

26956 Zemlak Island

Dallas

Phone

p +1 (555) 279 2034

Experience Experience

Dallas, TX

Artificial Intelligence

Dallas, TX

Block and Sons

Dallas, TX

Artificial Intelligence

Active involvement with Marketing, and Applications Engineering for debug and customer problem solving
Maintain state-of-the-art technical expertise in artificial intelligence, machine learning and software programming. Generate intellectual property
A genuine passion for engineering high-quality solutions
Relevant formal education, including BSCS or MSCS in AI/ML
Identify and help bring into the practice talented individuals both internally and externally
Plan and execute complex and challenging technical projects
Drive the client stakeholder engagement plan to scope the overarching opportunity

Boston, MA

Artificial Intelligence Expert

Boston, MA

Sawayn-Upton

Boston, MA

Artificial Intelligence Expert

Adopting, utilizing and further developing Accenture's Information Management approaches, methodologies and assets
Involved in sales cases of Information Management work
Building and implementing architecture roadmaps for next generation Artificial Intelligence solutions for our clients
Executing proof of concepts to assess the value of Artificial Intelligence use cases
Architect modern Artificial Intelligence solutions using virtual agents, visual analytics, deep learning
Participating in vendor landscape and technology assessments (covering for example IBM Watson, Microsoft Cortana, IPsoft Amelia and open source tools e.g. TensorFlow etc.)
Actively participate in related Artificial Intelligence communities and technology forums

present

Detroit, MI

Artificial Intelligence Go to Market Senior Manager

Detroit, MI

Hahn LLC

present

Detroit, MI

Artificial Intelligence Go to Market Senior Manager

present

Facilitate the development of “request for proposals” responses and contract development
Practice & Offering Management
Sales Origination & Business Development
Lead the development of businesses cases for further project sales as determined by the practice
Drive the integrated value proposition and work with the client to gain alignment and buy-in
Apply Accenture standard methods for performing strategy assessments and implementations
Work closely with leadership to set strategy and define success criteria for any project

Education Education

Bachelor’s Degree in Computer Science

Michigan State University

Bachelor’s Degree in Computer Science

Skills Skills

Ability to travel extensively
Shown ability to work creatively and analytically in a problem-solving environment
Strong organizational and multi-tasking skills
Excellent leadership, communication (written and oral) and interpersonal skills
Demonstrated teamwork and collaboration in a professional setting; either military or civilian
Demonstrated leadership in professional setting; either military or civilian
Basic understanding of Machine Learning techniques & industry applications
Proven ability to work creatively and analytically in a problem-solving environment
Excellent communication (written and oral) and interpersonal skills
Excellent leadership and management skills

Create a Resume in Minutes

15 Artificial Intelligence resume templates

Read our complete resume writing guides

Artificial Intelligence Resume Examples & Samples

1 to 10+ years of hands-on contribution in Software Engineering or related field
Experience in designing solutions from scratch
Ability to convey complex technical information in a clear and concise manner
Strong knowledge of Object Oriented development and design principles
Tech savvy, detail oriented, and highly driven
Understanding / Experience with competitive storage related products
Usability design/ test experience
Working knowledge of NFS and associated environments highly desired
Unix /Linux system administration skills
Hand on experience using many software engineering tools: Source code management, branching tools, code complexity analyzers, code coverage products, static and dynamic code analysis, memory mapping/tracing tools and capturing tools

Global Leader for Artificial Intelligence & Cognitive Technologies Resume Examples & Samples

Responsible for conceptualizing and developing a set of next generation AI solutions around analytics and automation that can be deployed across our customers in different industries
Managing and mentoring a team of data scientists and modelers who would work directly/indirectly for developing these platforms/solutions
Bringing expertise with different types of algorithms and modeling processes
Interface with our customers and evangelize Artificial Intelligence
Get involved in commercial discussions around implementing AI solutions for customers
Create thought leadership
Master's or Ph.D. degree in a science, engineering, mathematics, computer science
10+ years of professional experience
Experience with modeling software (R, Python, SPSS, SAS)
Experience in Machine learning techniques
Experience with visualization software (Tableau, Spotfire, Qlikview)
Has been a part of developing at least one AI platform in any industry
Ability to scan the market for emerging trends and identifying relevant opportunities
Ability to work and lead in an entrepreneurial environment with minimal supervision
Experience working with remote and global teams
Proven program management skill set
Experience with technology services and/or technology product companies will be preferred
Should be able to travel for up to 25% of the time

Artificial Intelligence Manager Resume Examples & Samples

Provides solutions to complex business problems for area(s) of responsibility where analysis of situations requires an in depth knowledge of organizational objectives
Sets strategic direction to establish near term goals for area of responsibility
Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters
At least four (4) years experience in one or more of the following Insurance technology domains: distribution management, underwriting, policy administration, claims, business intelligence or back office systems and related technologies
Experience with insurance packages including Duck Creek, Guidewire, and/or SAP
Experience with technologies frequently used in the insurance market space including Oracle, Java, Windows, and/or Cognos
Bachelor’s Degree in a technical or systems field (i.e. computer science, engineering, math, management information systems, or systems analysis)
At least three (3) years of experience in a client environment – insurance or financial services clients preferred
Shown success in contributing to a team-oriented environment
Shown ability to work creatively and analytically in a problem-solving environment

Artificial Intelligence Resume Examples & Samples

Work as an independent yet integral member of a team to develop innovative and creative AI / ML solutions for highly automated vehicles with world leading experts of autonomous vehicles
Develop and maintain high quality C/C++ and Python code under Linux for general purpose PCs and embedded hardware platforms. Test and debug software on autonomous research vehicle prototypes
Plan and execute complex and challenging technical projects
Possess strong interpersonal skills and consistently demonstrate ability to work in a team environment and with cross-functional global teams
Maintain state-of-the-art technical expertise in artificial intelligence, machine learning and software programming. Generate intellectual property
PhD with 2+ years or MS with 5+ years of experience in computer science, electrical engineering, mathematics, physics
Expert-level knowledge in learning algorithms such as inverse reinforcement learning, deep reinforcement learning and probabilistic inference for decision support systems
Knowledge and hands-on expertise in deep neural network topologies such as convolutional nets, recurrent nets, RBMs, causal reasoning, probabilistic programming
Strong software development skills in C/C++ under Linux environments with a proven ability to deliver high quality software coding on time
Mathematically minded with experience in manipulating high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends with machine learning techniques
Develop requirements and evaluation methods for artificial intelligence technologies and benchmark vendor technologies
Experience in algorithm development, prototype system development and prototype software implementation on hardware platforms
Effective verbal/written communication along with strong interpersonal skills. Team player

Manager Omnichannel & Artificial Intelligence Resume Examples & Samples

Develop systems & applications using complex algorithms to deliver business functions or architectural components
Develop system architecture that improve designs & mapping form to function
Educate team members about integrating systems collaboratively & efficiently
Assess the alignment of technical products/solutions with business needs
Keep abreast of emerging industry trends to continuously update Verizon’s operations and assess how competition differs from Verizon’s current state
Guide teams through the successful implementation of new products
IT experience in the area of System Analysis, Design, Development, and Operational Support on various platforms
Experience in developing applications using C/C++, J2EE, Oracle/DB2, node.js
Experience in working on big data platforms such as Hadoop (desirable)
8+ years total experience in IT systems development
Experience with social engagement platforms
Experience with Omni channel integration and customer journey analytics
Technical management, analytical skills, problem solving, budget management, strategic planning and quality management
Demonstrated ability to motivate, influence and collaborate at all levels of a large, complex organization
Excellent project management and collaboration skills
Ability to work well under pressure in a large and complex environment
Ability to explain technical information to non-technical users
Ability to work closely and productively with design, development, brand, and IT
Effective Verbal and Written Communication
Deep knowledge of FTTP/Telecom provisioning and tech support platforms
Demonstrated ability to understand complex telecommunications network system architecture and come up with system solutions to resolve complex business problems
Strong understanding of cutting-edge big data analytical tools and technologies
Bachelors in Computer/Electronics Engineering or Computer Science

Artificial Intelligence Senior Manager Resume Examples & Samples

Bachelor's degree in Computer Science, Engineering, Statistics, Technical Science or 10+ years of IT/Programming experience
Minimum of 4 years preparing and delivering product messaging in an effort to highlight value proposition and unique differentiators
Minimum of 4 years previous consulting or client service delivery experience
Minimum of 5 years of experience with system integration architectures, private and public cloud architectures, pros/cons, transformation experience
Prior experience in solutioning for artificial intelligence use cases or web application development & systems integration experience e.g. REST/SOAP
Minimum of 3 years of client assessment and roadmap experience
Minimum of 2 years of sales pursuits and oral presentations
Minimum of 3 years of full lifecycle deployment experience
Prior solutioning experience with No SQL databases, data streaming and integrating unstructured data
Certification on Cognitive tools like Microsoft Bot Framework & Cognitive Services, IBM Watson, Amazon Alexa etc
Prior delivery experience with Robotic Process Automation is a plus
Basic understanding of Machine Learning techniques & industry applications
Experience in and understanding of data and information management, especially in Big Data trends
Exposure to cloud technologies like Azure, Bluemix etc

Director of Artificial Intelligence & Cognitive Computing Technologies Resume Examples & Samples

Actively own the capability portfolio and engage with IT to ensure that SLA's are met and capabilities are delivered to meet the business demand
Define process, create appropriate guidance routines, and adapt policies and standards as needed to support the new capability usage
As appropriate, manage vendor /partner relationships
Build cross functional working relationships through multiple disciplines
BAchelors degree in computer science, MIS, mathematics, business/finance, statistics or equivalent preferred
Possess advanced knowledge of analytics environments; modeling tools and emerging analytical tools in order to solve unusual as well as common work problems and advise on technical matters
10 years experience in advanced analytics, data warehousing, business intelligence/data management and or financial systems
5 years working with modeling tools preferred
5+ years of knowledge and experience using SAS, SPSS or other statistical modeling packages
Knowledge of big data, open sourcing environments and tools with documented delivery of projects of capabilities leveraging these tools
Experience working IBM Watson or other cognitive tools preferred
Knowledge in all technical aspects of business intelligence including data modeling, tools, relational database management systems, ETL, metadata / data management, and OLAP tools
Working knowledge of business intelligence tools such as Cognos, MicroStrategy, QlikView or Business Objects
Experience with text mining, voice analysis and natural language processing preferred
Experience leading and managing large programs

Artificial Intelligence Resume Examples & Samples

Strong, applied domain understanding of Machine Learning
Strong Machine Learning implementation skills
Quality/depth of real projects done
5 years of solid Machine Learning work required
Ability to embed with client product teams organizations to understand requirements, design & prototype solutions end-to-end
Artificial Intelligence enthusiasts - flexible/quick learners comfortable with variety of platforms - conversant with new age development frameworks
You will have an opportunity to work on problems of massive scale - characteristic of the Indian market - with some of the largest enterprises and institutions in the country
You will also be an advocate for Artificial Intelligence with the startup and developer community

Artificial Intelligence Manager Resume Examples & Samples

Solution and Proposal Alignment - Through a formal sales process, work with the Sales team to identify and qualify opportunities. Conduct full technical discovery, identifying pain points, business and technical requirements, “as is” and “to be” scenarios
Targeted Solution blueprint - Architect client solutions to meet gathered requirements. Assess the full technology stack of services required including app development, network, compute, storage, management and automation. Identify cloud ecosystem components across a variety of vendors that align with business objectives and meet technical design requirements. Compare and contrast alternatives across both technical and business parameters which support the define cost and service requirements
Minimum of 5 years preparing and delivering product messaging in an effort to highlight value proposition and unique differentiators
Minimum of 2 years previous consulting or client service delivery experience
Minimum of 3 years of experience with system integration architectures, private and public cloud architectures, pros/cons, transformation experience
Prior experience in artificial intelligence applications like virtual agent, RPA, video or image analytics, text analytics
Minimum of 2 years of client assessment and roadmap experience
Minimum of 1 years of sales pursuits and oral presentations
Minimum of 2 years of full lifecycle deployment experience
Prior experience with in data engineering technologies like Spark, no SQL DB, lambda
Masters or PhD in Analytics, Statistic or other quantitative disciplines
Certification on Cognitive tools like Microsoft Bot Framework & Cognitive Services, IBM Watson, Amazon AI services
Experience in Deep Learning approach

Developer for Artificial Intelligence Solutions Resume Examples & Samples

The day-to-day activities of Solution developer will vary depending on the client and type of project
Discovery with clients to define business requirements and needs, understanding their pain points, work practices and the nature of their business
Agile solution design and development – participation on daily scrum, iteration planning, showcases and retrospectives. Blockers identification and resolution in timely manner
Solution implementation and maintenance
Working experience or understanding of Agile Scrum methodologies
Versed in software engineering principles, frameworks and technologies
Programming expertise - Javascript, HTML, CSS, node.JS, angular
Ability to write and troubleshoot SQL Code
Strong customer service/client service skills

Artificial Intelligence Lead Resume Examples & Samples

Aid in the design, build and implementation of AI solutions for our proof of concepts and experiments, including working closely with external vendors to implement AI solutions
Provide expert peer review for new AI concepts, partners and vendors
Help shape and drive our AI strategic thinking and thought leadership
Build and develop our internal and external networks with AI experts, including AI vendors and academia
Promote AI across the organization
Educate our people in AI-related topics and broaden our AI knowledge
2-5 years AI work experience
Experience in designing, building or implementing AI business solutions is essential
This role is all about delivering practical AI pilots in a business environment and is less about developing the theory
Excellent academic qualifications is essential with a strong preference for a post graduate qualification
Open to candidates from all industry sectors; insurance or financial services knowledge a bonus
Ambitious and a strong self starter
Strong communication skills and the candidate to be comfortable engaging with a wide range of senior people

Artificial Intelligence Go to Market Senior Manager Resume Examples & Samples

Sales Origination & Business Development
Lead the development of businesses cases for further project sales as determined by the practice
Drive the client stakeholder engagement plan to scope the overarching opportunity
Actively structure and drive the executive governance process with the client (VP and above)
Drive the integrated value proposition and work with the client to gain alignment and buy-in
Identify and help bring into the practice talented individuals both internally and externally
Quantitative background/proven problem-solving skills
Ability to build and manage a practice
Client Delivery & Relationship Management
Minimum of 7 years working in artificial intelligence and analytics business transformation
Minimum of 5 years in strategy or management consulting
Meet travel requirements, up to 80%
Understanding of value based constructs
You will make a difference for some pretty impressive clients. Accenture serves 94 of the Fortune Global 100 and more than 80 percentof the Fortune Global 500

Artificial Intelligence Go to Market Senior Manager Resume Examples & Samples

Experience developing and auctioning business plans
Ability to originate sales and develop commercial constructs
Understanding of how to link Artificial Intelligence with business value to shape the business case
Strong industry relevance
Ability to partner with our clients to understand business problems and strategies
Ability to translate business issues into specific requirements to develop analytics solutions

Artificial Intelligence Manager Resume Examples & Samples

Develop and deliver solutions to business problems using ML/AI approaches and methodologies
Prepare and present findings and analysis. Ensure alignment with stakeholder objectives and enterprise goals - drive faster, smarter decisions
Explore and define new applications of AI and demonstrate business value
Bachelors degree in a quantitative field such as Engineering, Computer Science and Statistics
At least 3 years of experience in advanced quantitative techniques
Extensive knowledge in machine learning, artificial intelligence, statistics and data mining
Strong experience with Python or R
Ability to quickly understand, process and consume industrial scale databases
Must be legally authorized to work in the United States for any employer without sponsorship
Successful completion of interview required to meet job qualifications
Reliable, punctual attendance is an essential function of the position

Senior Artificial Intelligence Resume Examples & Samples

Reshape search, recommendation, personalization on vip.com by combining traditional predictive modeling with the Deep Learning approaches
Research industry trends in Big Data, Machine Learning Recommendation and Personalization, Deep Learning, and adopt the latest and greatest within our branch companies
Implement proof-of-concept prototypes for data collection, analysis, and presentation
Collaborate with architects, engineers, QA, and operations teams in China to design and
Ph.D. in Computer Science or related fields
Domain expertise in search/recommendation/personalization fields, and nice-to-have

Artificial Intelligence Senior Manager Resume Examples & Samples

Ability to be flexible and work analytically in a problem solving environment
Strong organizational & multi-tasking skills
Strong analytical skills and thought processes
Extensive travel may be required

Artificial Intelligence Resume Examples & Samples

Perform testing and report results for performance of various machine learning frameworks with a focus on current networking products, and products under development to estimate future performance
Assist End-Users, ISVs and other software developers leveraging machine learning techniques to qualify and obtain optimal performance of their software products
Tune performance of customer codes and benchmarks
Characterize performance of distributed artificial intelligence and machine learning frameworks and applications
Work with Product Development and Engineering teams to develop test methodologies
Write papers, presentations and other reports to enable Mellanox marketing and sales to effectively communicate the performance advantages of Mellanox products
Active involvement with Marketing, and Applications Engineering for debug and customer problem solving
Experience working in a lab environment occasionally which may include some hardware troubleshooting (adapters/servers, etc)
B.S. degree in Computer Science, related technical field or equivalent practical experience
Minimum 1 year experience working in a computer network/distributed environment
Minimum 1 year experience in Linux environment
Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them
Experience contributing to research communities and/or efforts, including publications at conferences
Experience in Natural Language Processing, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence)
Programming experience in Python or C++
Fast learner and be able to work independently as well as in a team environment with good written and verbal communication skills
Experience using performance analysis tools such as profilers, thread analyzers

Artificial Intelligence Resume Examples & Samples

Bachelor degree in Computer Science or related technical field or equivalent practical experience
2 years of work or educational experience in Machine Learning or Artificial Intelligence
1 year of professional software development experience
Experience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python
Preferred qualifications: MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field
Experience with one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar

Artificial Intelligence Resume Examples & Samples

Bachelor degree in Computer Science, related technical field or equivalent practical experience
Programming experience in one or more of the following: C, C++, Python
Experience using performance analysis tools such as profilers, thread analyzers, etc
MInimum 3 years experience in Machine Learning environment
Large Scale Machine Learning experience
Experience with high speed networking, RDMA and RoCE technologies
Knowledge in multiple frameworks including TensorFlow, Caffe, Torch, CNTK or PaddlePaddle
Knowledge with current hardware architecture and industry trends in cognitive computing is highly desirable
Real world problem solving skills and experience
Imagination, ambition, intense curiosity and a desire to showcase knowledge and expertise in current and future applications of machine learning / artificial intelligence

Robotics Artificial Intelligence Intern Resume Examples & Samples

Actively participate in applied research activities in the broader areas of computer vision and reinforcement learning applications for industrial robotics environments, resulting in proofs of concept, prototypes, patents, and/or academic publications
Investigate the application of computer vision and reinforcement learning for industrial robotics simulation that satisfies customer requirements for creating value-added services and offerings
Contribute to the promotion of the application of computer vision and reinforcement learning concepts within ABB’s customer industries, and develop prototype solutions using existing framework libraries
Currently enrolled in a Computer Science, Electrical Engineering, Robotics (or related science/engineering) post- graduate program (M.S. or PhD) at an accredited U.S. based institution
Currently enrolled in a PhD program
Practical knowledge of advanced computer vision and reinforcement learning, and corresponding technology stacks (both commercial and open source)
Experience in robotics
Design and implementation experience in languages such as C/C++, Python and platforms
Experience in computer vision learning tools (e.g. Tensorflow, Openai Universe, etc.)
Willingness to quickly acquire in-depth knowledge of new technologies and application domains
Ability to communicate effectively and efficiently in English
Creativity, initiative, enthusiasm, and results orientation to drive your ideas towards solving real business problems

Intel Internship for Artificial Intelligence Resea Resume Examples & Samples

Evaluate the new AI design methodology from AI product group
Porting existing frameworks into Intel AI software flow
Conduct performance test between Intel and other industrial solutions
Running workload on Intel-based accelerators
Develop algorithms based on customer requests
Bachelor or above degree in EE, Computer Science or Information Science
At least 1 year experience in deep learning algorithm development and practice
Innovative and creative
Self-discipline personality

Artificial Intelligence Resume Examples & Samples

Accountability for Artificial Intelligence sales targets as determined by the practice
Position Accenture as the lead partner for Artificial Intelligence with our clients
Identify new business opportunities relating to Artificial Intelligence or digital initiatives
Facilitate the development of “request for proposals” responses and contract development
Work closely with leadership to set strategy and define success criteria for any project
Apply Accenture standard methods for performing strategy assessments and implementations
Able to explain complex concepts in non-technical language
Artificial Intelligence Transformation Mobilization and Project Advisor
Deep Industry & Functional analytics experience
Bachelor’s degree in quantitative discipline (Engineering, Economics, Statistics, Operations Research, Computer Science)
Masters or MBA
PhD in Analytics, Statistic or other quantitative disciplines
Exceptional presentation skills – ability to convey technology and business value propositions
Ability to understand and apply statistical methods and outputs to create client value in a business context
Experience with evolving approaches and technologies such as Big Data, Artificial Intelligence, Machine Learning, Cognitive Systems, and Robotics
Proven ability to work creatively and analytically in a problem-solving environment
Desire to work in an information systems environment
Your entrepreneurial spirit and vision will be rewarded, and your success will fuel opportunities for career advancement
You will be an integral part of a market-leading analytics organization, including the largest and most diversified group of digital, technology, business process and outsourcing professionals in the world. You can leverage our global team to support analytics innovation workshops, rapid capability development, enablement and managed services
You will have access to Accenture’s deep industry and functional expertise. We operate across more than 40 industries and have hundreds of offerings addressing key business and technology issues. Through our global network, we bring unparalleled experience and comprehensive capabilities across industries and business functions, and extensive research on the world’s most successful companies. You will also be able to tap into the continuous innovation of our Accenture Technology Labs and Innovation Centers, as well as top universities such as MIT through our academic alliance program
You will have access to distinctive analytics assets that we use to accelerate delivering value to our clients including more than 550 analytics assets underpinned by a strong information management and BI technology foundation. Accenture has earned more than 475 patents and patents pending globally for software assets, data- and analytic-related methodologies and content

Artificial Intelligence Internship Resume Examples & Samples

Currently enrolled graduate student who studied or is studying Computer Science, Statistics, Engineering, or other related fields
Demonstrated experience in the conduct of machine learning and deep learning research
Demonstrated knowledge of qualitative and/or quantitative research methodologies, Bayesian statistics, neural networks, stochastic processes, and implementation of methods in R and Python
Excellent oral and written communication skills, as well as strong interpersonal skills
Eligible to receive academic credit, fulfill an academic program requirement, or receive external funding
U.S. citizen
Government clearance

Artificial Intelligence Global Practice Manager Resume Examples & Samples

Engage customers - collaborate with sales leaders and engineering teams to deliver value for our customers through the use of AWS Artificial Intelligence, Deep Learning, and Machine Learning. Provide leadership on various IT disciplines such as AI on AWS architectures, hybrid cloud AI solutions, and security
Build and lead great teams - attract top technical talent to build high performing teams of data scientists and consultants, outstanding customer relationship skills, and a career focus on AI. Assemble and develop the best in the world
Develop partnerships – proactively develop industry solution maps for AI and engage the leading solution and service providers. Drive collaboration and integration between multiple partners to deliver comprehensive solutions for large enterprises
Serve as an AI knowledge sharing up and expand Professional Services AI capability - work with your team to quickly learn new AI services, help customers leverage them, harvest and share best practices, and put together learning programs to organically grown more AI consultants
Make new markets – develop the engagement model for driving the design wins for the AI on AWS to open new market segments
Be a customer advocate - Work with AWS engineering service teams to convey AI technical requirements from partners and customers as input to AWS service roadmaps
Outstanding customer relationship management experience and collaboration skills
Demonstrated ability to think strategically about business, product, and technical challenges
Experience delivering Artificial Intelligence, Deep Learning, or Machine Learning solutions to Fortune 500 enterprise customers
Experience with definition, creation, delivery, and management of methods and capabilities for AI implementation, operations and optimization accelerators
MS/PhD in CS, Machine Learning, Operational research, Statistics or in a highly quantitative field
Ability to travel to client locations when needed
Experience in mentoring data scientists and guiding them on machine/deep learning and data modeling applications
Strong communication and data presentation skills
Familiarity with data normalization and transformation
Experience using Python, R or SQL
Experience using machine learning libraries, such as scikit-learn, caret, mlr, mllib
Consulting practice leadership with related goals/KPI’s
Global consulting practice lead focused on sales, delivery, partner management, and people development
Global experience and familiarity with diverse cultures
Use of AWS services
Publications or presentation in recognized Machine Learning and Data Mining journals/conferences
Good skills with programming languages, such as Java or C/C++

Artificial Intelligence Expert Resume Examples & Samples

Participating in vendor landscape and technology assessments (covering for example IBM Watson, Microsoft Cortana, IPsoft Amelia and open source tools e.g. TensorFlow etc.)
Executing proof of concepts to assess the value of Artificial Intelligence use cases
Architect modern Artificial Intelligence solutions using virtual agents, visual analytics, deep learning
Building and implementing architecture roadmaps for next generation Artificial Intelligence solutions for our clients
Assess and define tactical and strategic opportunities to enable our clients to achieve new business capabilities through the use of Artificial Intelligence and traditional tools and technologies
Lead and consult the clients in full lifecycle implementation from requirements analysis, platform selection, technical architecture design, application design and development till testing, and deployment
Involved in sales cases of Information Management work
Adopting, utilizing and further developing Accenture's Information Management approaches, methodologies and assets
Actively participate in related Artificial Intelligence communities and technology forums
Master's Degree or PhD in Computer Science, Engineering, Technical Science or similar
Experience in Artificial Intelligence solution building
Experience in implementing architecture roadmaps for artificial intelligence and analytics solutions
Hands on experience in designing, building, delivering and operationalizing production-grade Artificial Intelligence technology systems using modern data technologies such as Tensorflow, IBM Watson
Experience in open source eco-system components such as Tensorflow, Scikit learn, Spark ML
Understanding technical architectures and current state of the market in several technology areas
Hands-on coding experience in coding languages e.g. Node.js, Java, functional languages, Python, C#, web or database development
Strong interest in growing own technology skills
Strong written and verbal communication skills in both English and Swedish
Experience in computer vision, object recognition/tracking, face/gender/age/emotion recognition, OCR/handwriting recognition
Experience in Natural Language Processing, machine translation, emotion detection, language detection, classification
Experience in Artificial Intelligence solutions: Virtual Agents, Robotic Process Automation, intelligent case processing, Video Analytics, Unique Identity/ biometrics, inference engines
Experience in large scale cloud solutions using platforms such as AWS, Azure, Google Cloud Platform or IBM Bluemix
Experience in predictive modeling and machine learning
Knowledge of UNIX or Linux environments
Industry specific knowledge e.g. finance sector, resources, products etc
Experience or interest in modern software architectures
Experience in sales

Artificial Intelligence Resume Examples & Samples

The candidate for this position will be able to effectively apply machine learning and data mining to different types of data collected from tasks and domains such as manufacturing, multimodal sensors, images and video, and online documents
They will have the general ability to design, apply, and create new algorithms, methods, and tools for the analysis of data to address project requirements
They will have the general ability to evaluate the performance of data analysis algorithms as well as general ability to select and apply algorithms to meet application requirements with respect to scalability
The Machine Learning Technologist will have skill and ability to: collect, organize, transform, synthesize, and analyze data; summarize and present findings; develop conclusions and recommendations from appropriate data sources at the work group level
The experienced Technologist will identify internal and external customers/sponsors, seeking opportunities to solve their analytics problems
The Technologist will work with customers to formulate technical requirements, select analytics methods, identify gaps in existing methods, and develop new methods as necessary
They will present results to the customers and lead transition of prototype tools to them as well
Experience with high level programming languages such as C, C++, C#, Java, and Python
Experience with designing, implementing, training, evaluating, and optimizing algorithms based on state-of-the-art machine learning techniques
Experience with applying deep learning for object recognition, scene classification, and scene segmentation
Experience with major deep learning framework such as Caffe, CNTK, Theano, Torch, and Tensorflow
Experience with cloud computing
Experience with GPUs
Background in SLAM, 3D reconstruction, and motion planning