Machine Learning Resume Sample
Bradly Johnston
435 Kasey Vista,
Detroit,
MI
+1 (555) 512 4119
Work Experience
Senior Software Engineer, Machine Learning
08/2016
-
PRESENT
Phoenix, AZ
- Experience of managing Algorithm development teams
- Strong computer skills, specifically Microsoft Office, including Excel, Outlook and PowerPoint
- Work with application/platform engineers and data scientists to implement and efficiently scale Machine Learning Platform & Applications
- Build and enhance machine-learning platform by absorbing best-of-breed tools, techniques and best practices
- Work closely with the other engineering team to improve our machine learning infrastructure and data quality
- Identify new opportunities to apply machine learning to different parts of the e-commerce experience
- Design and run experiments to advance our machine learning understanding and techniques
- Use your mathematical, statistical and programmatic knowledge to search, analyze, and model to enhance customer experience
- Selects tools and methodologies for the platform
Machine Learning
06/2012
-
05/2016
Phoenix, AZ
- Responsible for analyzing large data sets to develop custom models and algorithms to drive business solutions
- Responsible for training the algorithms so they can be applied to future data sets and provide the appropriate recommendations in real time
- Responsible for researching new trends in the industry and utilizing up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi)
- Build learning systems to analyze and filter continuous data flows
- Combine data features to determine models
- Develop custom data models to drive recommendations
- Produce fully functional mobile applications writing clean code
- Support the entire application lifecycle (concept, design, test, release and support)
- Gather specific requirements and suggest solutions for continuous improvement
Machine Learning Intern
07/2006
-
12/2011
Dallas, TX
- Design a data pipeline to make it easy to do feature engineering & build ML models
- Duration: 12 weeks
- Deep knowledge of AI
- Education in computer science
- Well experienced (at least 1 year) in programming with R, Python and other "AI" programming languages in real AI/machine learning applications
- Knowledge and usage of the open source machine learning frameworks available on the market, like Tensorflow, Python ML and others
- Knowledge of Feature Vector Construction
- Good mathematical understanding
Education
University of Mount Union
2001 - 2006
Science's Degree in Computer Science
Professional Skills
- Analytical thinking skills, with demonstrated ability to dive deep into quantitative and qualitative data to solve problems and improve customer experience
- Strong object-oriented programming and design skills, excellent C++ programming expertise
- Strong and proven software development skills
- Strong visual design skills, and experience in UI design, and its methodologies
- Strong coding skills in python, keras, sklearn and tensorflow or cntk
- Demonstrated programming skills in C++/C and Python
- Proven skills to work with relevant machine learning frameworks (e.g. Tensorflow, PyTorch)
How to write Machine Learning Resume
Machine Learning role is responsible for programming, software, python, java, design, languages, engineering, learning, analytical, coding.
To write great resume for machine learning job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Machine Learning Resume
The section contact information is important in your machine learning resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:
- First and last name
- Telephone number
Work Experience in Your Machine Learning Resume
The section work experience is an essential part of your machine learning resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous machine learning responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular machine learning position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Machine Learning resume experience can include:
- Coding: Excellent skills in at least one of the procedural languages for Data Science e.g. R/ Python
- Excellent written skills for documenting work and for presenting to work peers
- Strong programming skills in at least one object oriented programming language (Python, SQL, Java)
- Strong programming skills in one or more of the following: Python, R, C++, Java
- Experience in development and implementation of machine learning software, preferably strong experience with Deep -Learning frameworks
- Strong skills in working on software projects
Education on a Machine Learning Resume
Make sure to make education a priority on your machine learning resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your machine learning experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.
Additional details to include:
- School you graduated from
- Major/ minor
- Year of graduation
- Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.
Professional Skills in Machine Learning Resume
When listing skills on your machine learning resume, remember always to be honest about your level of ability. Include the Skills section after experience.
Present the most important skills in your resume, there's a list of typical machine learning skills:
- + Strong analytical skills, with demonstrated reputation including publications / development / deployment experience
- Solid software engineering skills and experience including coding, testing, troubleshooting and deployment
- Strong programming skills and experience with at least two of Python, Java and C/C++ - required
- Experience as a developer with solid skills in Java and Python
- Experience as a developer with solid skills in Python, C, or C#
- Experience as a developer with solid skills in Python
List of Typical Experience For a Machine Learning Resume
1
Experience For Machine Learning Software Engineer Resume
- Strong analytical abilities and proven design skills
- Excellent communication skills with an awareness of the need to simplify complex ideas
- Strong programming skills (Python, R, Scala and Java, C++
- Experience and hands-on skills with R or Python are required
- Excellent teamwork, communication, and project management skills
- PhD in Computer Science (or Mathematics/Physics/Statistics), or strong background and equivalent practical experience in the field
2
Experience For Machine Learning Intern Resume
- Experience: Experience in at least one end-to-end implementation for a real-life business (data) problem solving
- Strong hands-on experience with Python, Scala, and/or R
- Bring active experience in to the organization on extraction text and data information from structured and unstructured data
- Bring active experience into the organization on extraction text and data information from structured and unstructured data
- Programming experience in one or more object-oriented languages like Java/Python/C#/Ruby/Objective C/C++
3
Experience For Machine Learning Researcher Resume
- Designing statistical experiments to evaluate and validate deployed statistical approaches
- Approaching machine learning from a user experience standpoint
- Proven track record of building, developing and leading a data science team focused on application of machine learning and big data analytics
- Experience prototyping and developing machine learning models using R or Python libraries
- Hands-on experience in positions focussed on Machine Learning, Information Retrieval, Data Mining, Natural Language Processing, or Learning to Rank
- Experience in developing and testing machine learning models. Model evaluation and tweaking to improve algorithm performance
- Experience developing machine learning models such as using deep learning methods for classification and regression
- Solid understanding of statistical modeling/machine learning/ data mining
4
Experience For Software Engineer, Machine Learning Resume
- Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
- Experience of working with real data (data cleaning, data visualization and modeling) (can include time in academia/research)
- Experience working in applying Machine Learning to solve complex problems
- Experience with building machine learning models using time series data
- Statistical Modelling:Strong background in at-least one specific statistical modelling/ predictive modelling area
- Deep working experience applying statistics and machine learning techniques to real-world data
- Experience in computer vision, OpenCL, video streaming and encoding/decoding
- Expertise in applying Optimization Models, and a good theoretical grounding in core Machine Learning concepts and techniques
- Demonstrated expertise in Machine Learning / Building and deploying solutions
5
Experience For Machine Learning Expert Resume
- Researching and practicing Machine Learning tools, like TensorFlow, Big data, and big data toolset experience
- Strong working knowledge of ML algorithms including decision trees, probability networks, association rules, clustering, regression, and neural networks
- Experience in feature engineering and building advanced forecasting models
- Hands on experience building high quality full stack software (Python, Java, Shell Scripting) – machine learning solutions
- Experience developing production quality code in a professional software engineering role
- Or Ph.D. with 2+ years) of professional or research experience with models, code or platforms using Machine learning
- Experience with object-oriented programming Proficiency in building microservices and APIs
- Extensive practical experience in implementing machine learning algorithms for scalable productive applications
6
Experience For Senior Software Engineer, Machine Learning Resume
- Strong understanding of machine learning and regression models
- Experience managing Machine Learning Scientists
- Experience in developing and debugging in one or more of the languages C/C++, Java, Scala, Python, or R
- Solid Machine Learning background and familiarity with basic Machine Learning algorithms/techniques
- Experience in Reverse engineering, malware analysis, or digital forensics for Data analysis, machine learning, or anomaly detection
- Good understanding of file formats including JSON, Parquet, Avro, CEF and others
- Solid understanding of BI and data solutions, including Power Pivot, cubes, data warehouse, and data marts
- Strong interest and understanding of the foundational concepts of machine learning and artificial intelligence
- Tware development experience with a distinguished track record of shipping technically demanding projects
7
Experience For IBM Watson Machine Learning Resume
- Technical credentials, with at least 10+ years of development experience and 5+ years leading/managing software development teams
- Experience with messaging & complex event processing systems such as Kafka, or Storm
- Strong working knowledge of Deep Learning Technologies
- Experience managing Machine Learning Scientists
- Experience in applying machine learning techniques to computer vision and related domains
8
Experience For Machine Learning Research Engineer Resume
- Rich experience in using at least one of the popular Deep Learning frameworks such as Tensorflow, Caffe, etc
- Work through user given problems from beginning to end:translating research insight into adequate user experience & software concepts for SAP’s customers
- Implement and validate one interpretable modeling approach as an alternative or enhancement to existing methods
- Strong publication history proving ability to contribute to the field of machine learning
- Good theoretical grounding in core Machine Learning concepts and techniques
- Experience in the fields of Information Retrieval, Search, Ranking, Query understanding, Personalization and Recommendation systems
- Experience with standard machine learning methods (SVM, random forests, boosting, neural networks, etc.)
9
Experience For Manager, Machine Learning Resume
- Strong analytical background (Data Analysis, Linear Algebra, Signal Processing, Image Processing)
- Solid background in natural language processing and/or machine learning
- Industry experience programming in C++ and Python; working knowledge of STL & Boost
- Research experience in explaining behavior of complex machine learning models
- Machine Learning: Strong background in at least one specific machine learning area
- Theoretical knowledge and hands-on experiences in speech recognition, natural language understanding and machine learning
- Experience with distributed machine learning and computing framework
- Good understanding of machine learning techniques
10
Experience For Machine Learning Internship Resume
- Practical experience applying ML to solve complex problems for applications handling gigabyte and terabyte size datasets
- Experience managing Machine Learning Scientists
- Experience in applying Machine Learning techniques in the security domain
- Experience with machine learning, data analytics and high volume data processing
- Understand machine learning principles (training, validation, etc.)
- Experience developing software / writing code in Java, C++, C# or other OOP languages
- Experience with large scale big-data processing pipeline and machine learning
List of Typical Skills For a Machine Learning Resume
1
Skills For Machine Learning Software Engineer Resume
- Good communications and writing skills and
- Strong C++11 programming skills
- Good programming skills Java, Python, Scala or other equivalent languages
- Excellent programming skills, in particular Python and MATLAB
- Strong problem-solving skills and creativity
- Strong C, C++, Obj-C, and/or Swift programming skills
- Proven ability to quickly and effectively turn research ML papers into working code
- Strong programming skills (we mainly use Java & Python)
- Good math skills :)
2
Skills For Machine Learning Intern Resume
- Excellent verbal and written communication skills with the ability to build relationships across the enterprise
- Exemplary analytical, critical thinking and problem solving skills, deep software development experience,
- Proven PM/PO experience in big data or ML SW projects (exception: experience in working on Intel design related SW projects)
- Excellent data handling skills, preferably with SQL
- Skills in the field of software architecture, experience with source code management
3
Skills For Machine Learning Researcher Resume
- Experience as a user experience designer or similar role, with at least 1 year experience working on enterprise tool design
- 5-10 proven experience and Dev-to-Prod track record with strong potential for growth into an Machine Learning leadership position
- Strong software development skills in Python, Java or C++
- Work effectively with teams to prioritize UI issues and review the results of user research
- + Programming skills/ experience in high level languages like Java, .NET, and Cloud computing
- Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization
4
Skills For Software Engineer, Machine Learning Resume
- Strong oral and written interpersonal skills
- Programming skills using modern languages, e.g. Python/R/C/C++/Java
- Skill at identifying priorities and anticipating obstacles. Capable of asking questions, proactively seeking clarity, and moving quickly to action
- Relevant work experience, including experience working within the industry or as a researcher in a lab, with one or more of the following
- Advanced programming skills in Java and the Spring Framework
- Strong experience with coding data and training pipelines
5
Skills For Machine Learning Expert Resume
- Strong experience in SQL, Python, shell scripting, test automation using Java, Test-NG
- Strong experience in machine learning for computer vision problems
- Proven experience working in C++
- Demonstrated experience with AI/DL subject matter and fluency in implementing AI solutions
- Good understanding and hands-on experience with numerical optimization
- Programming skills in Python
- Excellent understanding and experience of supervised and unsupervised ML algorithms (traditional algorithms and neural nets)
- Hands on experience with operationalization of advanced machine learning analytics with track record of success and proven outcomes
6
Skills For Senior Software Engineer, Machine Learning Resume
- Strong knowledge and experience in Python and Machine Leaning
- Industry experience building SaaS at scale with a keen focus on user experience, maintainability, operability, and security
- Effectively communicate and present results highlighting the broader commercial and strategic impact
- Exceptional written and verbal communication skills, especially the ability to present technical material to a mixed range of audiences
- Effectively presents complex technical information/analysis, and responds to questions from technical staff members and engineering management
- Demonstrated experience in machine learning algorithms beyond the coursework
- Demonstrated programming experience in languages like C, C++, Python
7
Skills For IBM Watson Machine Learning Resume
- Strong engineering background and preferably, experience with very large scale data/distributed systems
- Successful members of this team collaborate effectively with various technology teams across Amazon
- Strong experience with python, C++, and OpenCV required
- Experience as an intern, contractor, or other onsite experience at ProQuest
- Proven senior stakeholder mgmt. experience
- Proven experience in business development: identification and creation of new projects
- A solid foundation in computer science, with strong competencies in programming, algorithms, and software design
- Implementation skills with Python and other related languages
8
Skills For Machine Learning Research Engineer Resume
- Key skills: SQL, Java, Python, NoSQL tool ie: Hadoop, Pig ,Spark, H2O etc
- Experience working with large scale distributed systems (Hadoop, Spark) and experience programming in Python, Java and/or R
- Strong digital portfolio which demonstrates high-level proficiency in design for enterprise and/or consumer audiences
- Software engineering experience with a demonstrated ability to code
- + Strong working knowledge and experience working with big data technology e.g. Spark, Hadoop and MapReduce
- + Effectively communicate technical analyses and results
9
Skills For Manager, Machine Learning Resume
- Prior experience working at a startup or in an entrepreneurial environment
- Demonstrated computing experience in SAS and Python
- Managment/team lead experience, experience working with global and remote teams
- Strong experience with Java and Python
- Proactive customer management skills
- Demonstrated experience designing software solutions to solve complex problems; including hands-on programming in Python, Java, and/or C++
- Program Management experience or related work experience
- Strong knowledge/experience with Hadoop/Hive/Spark cluster system
10
Skills For Machine Learning Internship Resume
- Lead and communicate effectively both within and outside of your team
- Desire to learn real-world skills in a fast-paced tech environment
- Desired interdisciplinary skills include big data technologies, statistics and causal inference, Deep Learning, modeling and simulation
- Strong DevOps focus and experience building and deploying infrastructure with cloud deployment technologies like ansible, chef, puppet, etc
- Over 5 years of solid work experience in natural language processing, classification, search, and/or recommender systems
- Able to communicate in English effectively, verbal and written
List of Typical Responsibilities For a Machine Learning Resume
1
Responsibilities For Machine Learning Software Engineer Resume
- Strong mathematics and statistics skills
- Rich knowledge and solid experiences in Machine Learning/ Artificial Intelligence research and applications
- Strong experience in building Python/R applications
- Developing plans for deliverables associated with validation and verification
- Developing novel models and validating them
- Experience configuring & executing large, complex data pipelines with AWS/GCP/Azure technology stack (including distributed computing)
- Experience working with machine learning, ranking infrastructures, and system designs
- Industry experience building and productionizing innovative end-to-end Machine Learning systems
2
Responsibilities For Machine Learning Intern Resume
- + Experience in developing machine learning packages with modern programming languages e.g. Python, R, Scala, Java, MATLAB, C++ etc
- Machine Learning experience working on supervised, unsupervised, semi-supervised or reinforcement learning task
- Strong understanding of statistical modelling, data mining, and artificial intelligence
- Skilled at identifying and building solutions cutting across technology teams at Amazon
- Significant experience developing image and/or video recognition systems using popular deep learning software libraries, such as TensorFlow and/or Torch
- Past experience with Machine Learning and Natural Language Processing, especially previous Machine Learning projects
- Python and/or C++ prototyping and debugging experience
- Experience using machine learning toolkits (scikit-learn, Tensorflow, Jupyter, etc.)
3
Responsibilities For Machine Learning Researcher Resume
- Experience with machine learning, language processing or any other AI related discipline
- Expert on or have experience with Artificial Intelligence, Machine learning algorithms, Natural Language Processing, Entity extraction and insight extractions
- Hands-on experience delivering Machine Learning based products or solutions
- Experience with building APIs and services using REST, SOAP, etc
- Proven contributions in building highly scalable and data intensive systems using the latest and greatest of ML tools, frameworks and techniques
- Extensive experience leading and developing teams
4
Responsibilities For Software Engineer, Machine Learning Resume
- Experience in leading Computer Vision and/or Machine Learning groups/teams
- Experience in machine learning, preferably Deep Learning
- Current and hands on experience building high quality full stack software – machine learning solutions
- Strong scripting and programming (Python)
- + Experience with designing and prototyping algorithms on industrial data
- + Experience in applying machine learning and artificial intelligence to industrial problems
5
Responsibilities For Machine Learning Expert Resume
- Experience guiding teams in addressing the technical and delivery challenges
- Hands-on experience of Machine Learning and neural networks (differentiating)
- Hands-on experience in implementing a successful applied industrial software using ML techniques
- Experience in developing models and/or analytics to support driving efficiencies in operations
- Experience building services using Play
- Experience building services using AWS Kinesis, SQS, DynamoDB and RDS
6
Responsibilities For Senior Software Engineer, Machine Learning Resume
- Experience with search and data modeling or building a recommendation engine based on interpretation of user behavior
- A strong understanding of indexing, search, information retrieval and relevance
- Advanced experience with Machine Learning projects in Python. Familiarity with the important NLP Python libraries including NLTK, Pandas
- Work experience in Data Science, Machine Learning, Deep Learning, and/or Artificial Intelligence techniques
- Experience managing teams of researchers and/or engineers
7
Responsibilities For IBM Watson Machine Learning Resume
- Experience with machine learning
- Experience in one of the following languages: Python, Java, Scala, Juila or C++
- Some experience in data mining in data warehouse systems (Hadoop, Spark, Hive, ...)
- Ideally some practical experience with Stream processing, for example with Flink or Storm
- Lead a team that advances long-term, exploratory research projects in machine learning and related fields to create highly innovative customer experiences
- Work or educational experience with machine learning or data science
- Proven track record of working with employees to develop clear career goals
- Strong grasp of Machine Learning/Optimization and Distributed Systems fundamentals
- Experience with big data and machine learning frameworks such as Tensorflow, Theano or Caffe
8
Responsibilities For Machine Learning Research Engineer Resume
- Experience applying ML to solve complex problems for large-scale applications
- Ph.D. or M.S. with at least 4 years experience in data science, computer science, machine learning, mathematics, or related field
- Navigate conflicting priorities and ambiguous problem space(s)
- Strong understanding for Data technology and Data domain expertise
- Hands-on experience working with technologies like Hadoop, Hive, Pig, Oozie, Map Reduce, Spark, Sqoop, Kafka, Flume, etc
- Practical experience developing production-quality applications in C/C++ and/or Python
- Experience with modern software development (Linux, Git, unit testing, deployment)
- Research experience in Computational Engines, Algorithms, Artificial Intelligence, Machine Learning
9
Responsibilities For Manager, Machine Learning Resume
- Experience working with Hadoop, HBase, Spark, etc
- Experience in Large Scale Data Mining with modern parallel architectures (e.g., CUDA framework)
- Experience with streaming architectures and micro service based ecosystems
- Previous experience in Financial Crimes or Anti Money Laundering
- Solid grasp of Machine Learning fundamentals
- Experience with and knowledge of a wide variety of machine learning libraries/packages
- Experience with monitoring technologies like Nagios, Ganglia, etc
10
Responsibilities For Machine Learning Internship Resume
- Experience with modern programming languages like Java, Python, etc
- Experience with scripting languages like Perl, Shell, etc
- Experience in AWS EC2, EMR, or machine learning related services
- Direct experience in supervised and unsupervised learning
- Experience as analyst, data scientist, or related quantitative role, excluding internships and education
- Experience in scripting languages such as Perl, Python, and shell scripts
- Experience applying ML to solve complex problems for large-scale applications
- Masters, PhD, or equivalent experience in a quantitative field (Mathematics, Computer Science, Engineering, Artificial Intelligence, etc.)
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