- Professional
- Ufficio in Chicago
Job overview and responsibilities
The ML Engineering Manager is responsible to develop and program integrated software algorithms to structure, analyze and leverage data in systems applications. Develops and communicates statistical modeling techniques to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance. Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. Can work with large scale computing frameworks, data analysis systems and modeling environments.
- Design and implement key components of the Machine Learning Platform infrastructure and establish processes and best practices
- Work cross-functionally with data scientists, data engineers, and IT teams to design, develop, deploy, and integrate high-performance, production-grade machine learning solutions and data intensive workflows
- Partner with data scientists and data engineers to create and refine features from underlying data and build reproducible feature pipelines to train models and serve features in production
- Partner with data platform and operations teams to solve complex data ingestion, pipeline and governance problems for machine learning solutions
- Take ownership of production systems with a focus on delivery, continuous integration, and automation of machine learning workloads
- Provide technical mentorship, guidance, and quality-focused code review to data scientists and ML engineers
%3Ch3 style=%22margin-bottom: 0px; margin-top: 0px; font-family: Arial;%22%3E%3Cspan style=%22font-family: arial, helvetica, sans-serif;%22%3EWhat%26rsquo;s needed to succeed (Minimum Qualifications):%3C/span%3E%3C/h3%3E%0A%3Cul%3E%0A%3Cli%3E%3Cspan style=%22font-family: arial, helvetica, sans-serif;%22%3EBachelor%26rsquo;s Degree in Computer Science, Engineering, or a related technical discipline%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22font-size: 10.0pt; line-height: 105%; font-family: %27Arial%27,sans-serif; mso-fareast-font-family: %27Times New Roman%27; color: black; mso-ligatures: none;%22%3E4-8 years of experience in managing technical teams and projects%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22mso-fareast-font-family: %27Times New Roman%27;%22%3E%3Co:p%3E%3C/o:p%3E%3C/span%3E%3Cspan style=%22font-size: 10.0pt; line-height: 105%; font-family: %27Arial%27,sans-serif; mso-fareast-font-family: %27Times New Roman%27; color: black; mso-ligatures: none;%22%3E4+ years of experience in full software lifecycle development using Python%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22mso-fareast-font-family: %27Times New Roman%27;%22%3E%3Co:p%3E%3C/o:p%3E%3C/span%3E%3Cspan style=%22font-size: 10.0pt; line-height: 105%; font-family: %27Arial%27,sans-serif; mso-fareast-font-family: %27Times New Roman%27; color: black; mso-ligatures: none;%22%3E4+ years in software development in Python, PySpark%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22mso-fareast-font-family: %27Times New Roman%27;%22%3E%3Co:p%3E%3C/o:p%3E%3C/span%3E%3Cspan style=%22font-size: 10.0pt; line-height: 105%; font-family: %27Arial%27,sans-serif; mso-fareast-font-family: %27Times New Roman%27; color: black; mso-ligatures: none;%22%3E4+ Years of Experience with Machine Learning and Machine Learning workflows%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22mso-fareast-font-family: %27Times New Roman%27;%22%3E%3Co:p%3E%3C/o:p%3E%3C/span%3E%3Cspan style=%22font-size: 10.0pt; line-height: 105%; font-family: %27Arial%27,sans-serif; mso-fareast-font-family: %27Times New Roman%27; mso-ligatures: none;%22%3EExperience designing and developing using technologies as Docker, Kubernetes%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22font-size: 10.0pt; line-height: 105%; font-family: %27Arial%27,sans-serif; mso-fareast-font-family: %27Times New Roman%27; mso-ligatures: none;%22%3EHands-on experience leading an ML Generative AI%3C/span%3E%3Cspan style=%22mso-fareast-font-family: %27Times New Roman%27;%22%3E%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22font-family: arial, helvetica, sans-serif;%22%3EStrong software engineering experience with Python and at least one additional language such as Java, Go, Rust, or C/C++%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22font-family: arial, helvetica, sans-serif;%22%3EUnderstanding of machine learning principles and techniques%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22font-family: arial, helvetica, sans-serif;%22%3EExperience with data science tools and frameworks (e.g. PyTorch, Tensorflow, Keras, Pandas, Numpy, Spark)%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22font-family: arial, helvetica, sans-serif;%22%3EExperience designing and developing scalable cloud native solutions using technologies such as Docker and Kubernetes and serverless services such as AWS Lambda, EKS, ECS, Fargate%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22font-family: arial, helvetica, sans-serif;%22%3EExperience building infrastructure-as-code templates (e.g. AWS CloudFormation) and cloud-native CI/CD pipelines using tools such as AWS CodePipeline%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22font-family: arial, helvetica, sans-serif;%22%3EExperience building ETL pipelines and working with big data technologies (e.g. Hadoop, Spark, and serverless technologies such as EMR, Redshift, S3, AWS Glue, and Kinesis)%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22font-family: arial, helvetica, sans-serif;%22%3EKnowledge of distributed systems as it pertains to compute and data storage%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22font-family: arial, helvetica, sans-serif;%22%3EStrong desire to experiment with and learn new technologies and stay aligned with the latest community developments in ML Ops/Engineering and cloud native%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22font-family: arial, helvetica, sans-serif;%22%3EExcellent oral and written communication skills%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22font-family: arial, helvetica, sans-serif;%22%3EAbility to prepare high-quality presentation materials and explain complex concepts and technical materials to less-technical audiences%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22font-family: arial, helvetica, sans-serif;%22%3EMust be legally authorized to work in the United States for any employer without sponsorship%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22font-family: arial, helvetica, sans-serif;%22%3ESuccessful completion of interview required to meet job qualification%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22font-family: arial, helvetica, sans-serif;%22%3EReliable, punctual attendance is an essential function of the position%3C/span%3E%3C/li%3E%0A%3C/ul%3E%0A%3Ch3 style=%22margin-bottom: 0px; margin-top: 0px; font-family: Arial;%22%3E%3Cspan style=%22font-family: arial, helvetica, sans-serif;%22%3EWhat will help you propel from the pack (Preferred Qualifications):%3C/span%3E%3C/h3%3E%0A%3Cul%3E%0A%3Cli%3E%3Cspan style=%22font-family: arial, helvetica, sans-serif;%22%3EAWS Certified Solution Architect (Associate or Professional)%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22font-family: arial, helvetica, sans-serif;%22%3EExperience working as a Machine Learning Engineer or Data Scientist building and productionalizing machine learning solutions%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22font-family: arial, helvetica, sans-serif;%22%3EExperience building real-time event-driven stream processing solutions with technologies such as Kafka, Flink, and Spark%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22font-family: arial, helvetica, sans-serif;%22%3EExperience with GPU acceleration (e.g. CUDA and CuDNN)%3C/span%3E%3C/li%3E%0A%3Cli%3E%3Cspan style=%22font-family: arial, helvetica, sans-serif;%22%3EExperience with Kubernetes%3C/span%3E%3C/li%3E%0A%3C/ul%3E Candidarsi ora
