Machine Learning Engineer Job Description
Machine learning engineer
provides analytics leadership; conduct methodology and code reviews; utilize industry and academic resources to continuously learn and contribute to a growing knowledge base of data science best practices.
Machine Learning Engineer Duties & Responsibilities
To write an effective machine learning engineer job description, begin by listing detailed duties, responsibilities and expectations. We have included machine learning engineer job description templates that you can modify and use.
Sample responsibilities for this position include:
Develop reliable processes for the deployment of deep learning architectures across a range of business domains
Work closely with customers to port their deep learning requirements to FPGA #ik
Designing new deep learning architectures to improve potential for science discoveries in many fields
Balance customer requirements with resource constraints to ensure solutions are practical and limitations understood
Interact with clients, third-party vendors, technology partners and internal project stakeholders as required to understand requirements, implement and present results
Coordinate and collaborate with cross functional teams, including the Project Manager, Development teams, sales and marketing to develop estimates and overall solution implementation plans
Interact with inter-organizational contacts and/or external customers
Provide input on technical issues for specific projects including preparing and presenting technical reports
Provide data science services to Bain case teams and clients worldwide
Build learning systems to analyze real-time and offline data sets, and to make predictions or recommendations
Machine Learning Engineer Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Machine Learning Engineer
List any licenses or certifications required by the position: AWS, GPEN, CEH, CISSP, SAS, SQS, SNS, S3, ISTQB, AI
Education for Machine Learning Engineer
Typically a job would require a certain level of education.
Employers hiring for the machine learning engineer job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Mathematics, Engineering, Machine Learning, Statistics, Technical, Science, Electrical Engineering, Physics, Graduate
Skills for Machine Learning Engineer
Desired skills for machine learning engineer include:
Python
Java
Scala
Deep learning
Statistics
Statistical methods
Spark
Build processes
Code reviews
Probability
Desired experience for machine learning engineer includes:
Experience in OSS machine learning libraries such as scikit-learn, Spark ML, R/e1071
A BSc in one of the following Computer Science, Mathematics, Statistics or Physics
Ability to work closely with others as part of a larger team
Ability to both provide input and follow technical direction to solve complex problems
Knowledge of statistical environments
Some knowledge of biology and/or experience in processing biological data is preferred but not required
Machine Learning Engineer Examples
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Machine Learning Engineer Job Description
Job Description Example
Our company is looking for a machine learning engineer. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for machine learning engineer
- Build complex data sets from multiple sources, both internally and externally
- Develop software modules based on algorithms and test them against real data
- Validate models and algorithms in the field
- Take the ownership of a significant part of the team’s solution development
- Work in a modern agile devops environment to deliver well-planned, tested, documented and maintainable code, using JIRA, Git and CI/CD technologies
- Design solution architecture in collaboration with team leads, with a focus on AWS/Azure cloud solutions but also including integration/deployment into other environments
- Share learnings with your team-mates in AAG ML/data engineering about theoretical and technical developments in our rapidly evolving field, collaborate with the open source community, and work together to create a great working environment that attracts other great engineering colleagues
- Act as an ambassador and coach towards engineering teams at our clients and partners to raise their capabilities and ensure that solutions are successfully deployed and maintained
- Build platform to enable lifecycle of billions of images, documents and other assets in Adobe Cloud
- Contributes to effort to revise current practices
Qualifications for machine learning engineer
- 1-3 years of experience developing deep learning models using tools such as Caffe, Tensorflow, Theano, Torch, Keras
- Must possess a strong background in Machine Learning
- Experience with GPU computing (CUDA) and deep learning libraries (TensorFlow, Caffe, Theano, ) is a plus
- BS and MS in Computer Science or related field with research in machine learning
- Thrive in an Agile, highly collaborative and team-oriented environment
- Enjoy solving challenging problems on a global scale
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Machine Learning Engineer Job Description
Job Description Example
Our company is growing rapidly and is looking for a machine learning engineer. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for machine learning engineer
- Ad hoc analysts and reporting as needed
- Bringing these techniques and the latest ML/DL frameworks and tools to NERSC users and the some of the world’s largest supercomputers
- Provide expert ML/DL advice and consultancy services to scientists and users of NERSC computing resources
- Evaluate and implement different algorithm to pick most applicable algorithm
- Scaling the model choice on large scale data in cloud
- Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements
- Modeling complex problems and mining large data sets for insights
- Building predictive models in a production setting
- Hands on data cleanup and data preparation for deep analysis
- Analyzing and curating data sets
Qualifications for machine learning engineer
- PhD in Engineering degree (computer science, robotics, mathematics, statistics
- Solid foundation in Natural Language Processing or Machine Learning
- MS, or PhD in Computer Science/Statistics/Mathematics or related discipline
- 1 year+ experience with AWS, specifically S3, EC2, and EMR
- 1 year+ experience with Spark, HDFS, and related large data technologies
- Must be self-directed and self-motivated, able to work and learn independently * Strong math and algorithm background, especially for Machine Learning * 0-5 years experience * Must be comfortable in a Linux environment * Contributions to open source projects we can review is a plus * Fluent in C, C++, Python * Familiar with reading and coding assembly * Familiarity with NumPy, Halide, BLAS, Eigen, and/or TensorFlow a plus * Love of unit testing and automation
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Machine Learning Engineer Job Description
Job Description Example
Our company is looking for a machine learning engineer. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for machine learning engineer
- Working with a text, video, and images to extract useful metadata
- Collaborating across the team to shape the Data Platform technology stack
- Improving automation and test coverage (unit/integration/user acceptance tests, ) • Keeping up to date with modern data engineering technologies
- Improving automation and test coverage (unit/integration/user acceptance tests)
- Keeping up to date with modern data engineering technologies
- Lead software engineers and junior researchers
- Design, develop, and validated proposed ML solutions
- Deploy these solutions on a large scale where performance and maintainability are critical
- Improve the accuracy of existing algorithms to an acceptable level
- Improve the run-time of existing algorithms
Qualifications for machine learning engineer
- At least 1 year experience with leading big and fast data technologies like Spark, Scala, Akka, Cassandra, Accumulo, Hbase, Hadoop, HDFS, AVRO, MongoDB, or Mesos
- Proven expertise with autonomous vehicles or robotics
- Knowledge in rapid prototyping frameworks, ADTF, DDS, RTOS
- Some knowledge of machine learning strategies (neural nets, Bayesian algorithms, decision trees, ) and basic statistics (regression, sampling, normalization)
- Ability to analyze business requirements to assess feasibility of solutions
- Proven ability to be successful in cross-functional teams
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Machine Learning Engineer Job Description
Job Description Example
Our company is looking for a machine learning engineer. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for machine learning engineer
- Creates workflows that manage the development, support, and release of production level code
- Operationalizes applications into stable builds which can then be deployed to the cloud or on-prem
- Creates measurement systems to continuously evaluate the performance of data products
- Decomposes complex problem statements into specific deliverables and requirements
- Leads program review sessions and collaborative exercises to build the team's overall analytical capability
- Mentors junior team members and provides constructive critique on specific projects
- Develop tooling and infrastructure to support data scientists with model development
- Perform data analysis to generate customer specific business insights from Cloud application ac
- Architect, test, tune and deploy algorithms into production
- Partner with engineers and product managers to take ideas from inception to delivery
Qualifications for machine learning engineer
- 3+ years of experience in SQL databases with excellent SQL/T-SQL query writing and optimizing skills to create and maintain large summary & statistical data-sets with MySQL, Postgres, MS SQL Server or AWS Redshift
- 3+ year of experience in Amazon Web Services (AWS) technologies - Machine Learning, Redshift, S3, EC2, RDS, IAM, EMR with Spark and other data processing and analytics technologies
- Excellent business and communication skills to be able to develop and define key business questions to apply ML and the ability to work well in a team
- Experience working in a highly agile environment with aggressive sprint models
- Theoretical and practical understanding of machine learning algorithms in high-dimensional spaces including linear models, kernels, ensembles, dimensionality reduction, data mining, and clustering
- Fundamentals of algorithms and computational complexity, especially in scalable data-mining algorithms
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Machine Learning Engineer Job Description
Job Description Example
Our company is growing rapidly and is looking for a machine learning engineer. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for machine learning engineer
- Execute on research results to deploy production solutions
- Work with architecture and development to lay out technology vision for current and future product offerings
- Take ownership of a significant part of the team’s solution development
- Partner with ML researchers to push the boundaries on the performance of the latest methods applied to big problems within domains of insurance / investments
- Contribute to Peer Review process to ensure code quality
- Play an active role in the development and delivery of the team’s technology roadmap, and the design and delivery of necessary trainings and workshops
- Create and maintain platform documentation
- Turn smart, state-of-the arts analytics insights into results in real time
- Deliver proto-algorithms, specifications or actual code building upon NICE's proprietary NLP to solve a variety of problems and use cases
- Perform rigorous feature engineering and error analysis
Qualifications for machine learning engineer
- Demonstrated ability to solve real-world problems using machine learning given real-world data
- Ability to implement complex algorithms by hand
- Understanding of Machine Learning fundamentals
- At least one typed language
- At least one scripting language (e.g., Python)
- Understanding of authentication/ permissions/ security best practice