machine learning engineer

job summary: Our client is a well-known multinational manufacturer and they are looking for a Machine Learning Engineer to join their growing team on a permanent basis. The offices for this role are located in New Jersey or Chicago. The Machine Learning Engineer will be brought on to collaborate with Data Scientists and Data Engineers to design sustainable and scalable ML solutions, either on a consulting basis or hands-on, depending on the use cases. You will also own the monitoring of ML systems running in production and implement the automation of retraining new data sets seen through in production and initiating automatics deployments. This position brings excellent opportunities for growth and exposure within all levels of the organization. Develop great business relationships throughout the company footprint! Are you the next Machine Learning Engineer? Reach out today with your updated resume for immediate consideration!   location: Newark, New Jersey job type: Permanent salary: $120,000 - 160,000 per year work hours: 8am to 5pm education: Masters   responsibilities: Your day-to-day activities will include, but not be limited to, the following: Collaborate with Data Scientists and Data Engineers to design sustainable and scalable ML solutions, either on a consulting basis or hands-on, depending on the use casesOwn the monitoring of ML systems running in productionImplementing the automation of retraining new data sets seen through in production and initiating automatics deploymentsContinuously improving best-practices around deploying and productionizing ML modelsEducating fellow Data Scientists, Data Engineers and Business Translators on the importance of the ML Engineering roleAdvocate for production level coding and best practices such as pair programming, automated testing and IAC   qualifications: Experience level: ExperiencedMinimum 5 years of experienceEducation: Masters (required)  skills: Data Analysis (5 years of experience is preferred)Machine Learning (5 years of experience is preferred)AIdata engineeringrestful APIML ApplicationsDevOps (5 years of experience is preferred)Agile Methodology (5 years of experience is preferred)Agile Methodology (5 years of experience is preferred)AzureAWSPython (3 years of experience is preferred)Hadoop (3 years of experience is preferred)HIVE (3 years of experience is preferred)apache sparkElectrical EngineeringElectrical EngineeringMechanical EngineeringMechanical Engineering Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility). For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information.

job summary: Top Skills: ML ExposurePython programming experienceComfortable with SQLAWS Sagemaker PI Data Engineering team (part of Personal Investing Technology BU) is focused on delivery data and ML solutions for the organization. As part of this team you will be responsible for building advanced analytics solutions using various cloud technologies and collaborating with Data Scientists to robustly scale up ML Models to large volumes in production.   location: Durham, North Carolina job type: Contract salary: $79 - 80 per hour work hours: 9am to 5pm education: Bachelors   responsibilities: The Expertise You Have Has Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.).5+ years of experience in implementing Big data solutions in data analytics space.1-2 years of experience in developing ML infrastructure and MLOps in the Cloud (AWS preferred).Experience in Object Oriented Programming (Java, Scala, Python), Unix scripting or related programming languages and exposure to some of Python's ML ecosystem (numpy, panda, sklearn, tensorflow, etc.).Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks.Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (Cassandra, Elastic search, Graph database), API and in-memory technologies.strong knowledge of developing highly scalable distributed systems using Open-source technologies.Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (Airflow, Luigi, Kubeflow, or equivalent).Solid experience in Agile methodologies (Kanban and SCRUM).Cloud experience (AWS preferred).   qualifications: Experience level: ExperiencedMinimum 5 years of experienceEducation: Bachelors  skills: Java Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility). For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information.

job summary: We are looking for a Machine Learning Developer to join our client's engineering team and help develop a software product for a U.S. government customer. Developer responsibilities include creating machine learning models and retraining systems, writing and testing code, debugging programs, and integrating applications with third-party web services. To be successful in this role, you should have experience using server-side logic and work well in a team. Successful candidates will also have experience implementing MySQL and PostgreSQL databases, and be familiar with Google Cloud Platform tools. Ultimately, you'll build highly responsive web application back-end and efficient Latent Semantic Analysis-driven software in alignment with our customer's needs. High-Level Responsibilities Write effective, scalable codeDevelop back-end components to improve responsiveness and overall performanceIntegrate user-facing elements into applicationsDesign machine learning systemsResearch and implement appropriate ML algorithms and toolsSelect appropriate datasets and data representation methodsRun machine learning tests and experimentsPerform statistical analysis and fine-tuning using test resultsTrain and retrain systems when necessaryTest and debug programsImprove functionality of existing systemsImplement security and data protection solutionsAssess and prioritize feature requestsCoordinate with internal teams to understand user requirements and provide technical solutions Project-Specific Work Description The successful applicant will develop services relating to the grant-funded software development project. They will have extensive knowledge of database implementations, Python-based software development, and machine learning applications including Latent Semantic Analysis (LSA) and Natural Language Processing (NLP). Project-specific work may include but is not limited to: Development and implementation of a data sourcing, storage, and analysis pipeline including the development of: A functional database structure and schema on the Google Cloud Platform;Development and integration of new and existing data acquisition tools;Development and integration of new and existing, scalable Machine Learning applications. Creation of a codebase maintenance plan that involves, minimally, a documented version control process;Creation and maintenance of Python-based web data scrapers to systematically extract the text of scientific publications and corresponding metadata from accessible journals and other publication sources, and the storage of scraped data in a database conducive to latent semantic analysis and other forms of Machine Learning-based programmatic analysis;Advancement of existing Latent Dirichlet Allocation (LDA)-based machine learning programs to: Make them capable of performing topic modeling on subsets of data stored in the aforementioned database,Optimize them for the project's corpus through improvements to coherence, parameter tuning, bigram/trigram usage, dictionary development, customized training, etc., Development of a custom Named Entity Recognition (NER) model and training pipeline - leveraging SpaCy or a similar tool - to meet the needs of the project,Development of back-end software that will enable end-user interactivity with visualized LDA and NER outputs (For example, linking a term discovered via LDA. This position is fully remote, and no physical office space will be provided. The successful applicant will be able to perform their development responsibilities from any physical location with adequate resources. The successful applicant will be assigned a Google Workspace account and will be expected to attend relevant project meetings and respond to email, chat, and phone calls promptly.   location: Houston, Texas job type: Contract salary: $90 - 105 per hour work hours: 8am to 5pm education: Bachelors   responsibilities: High-Level Responsibilities Write effective, scalable codeDevelop back-end components to improve responsiveness and overall performanceIntegrate user-facing elements into applicationsDesign machine learning systemsResearch and implement appropriate ML algorithms and toolsSelect appropriate datasets and data representation methodsRun machine learning tests and experimentsPerform statistical analysis and fine-tuning using test resultsTrain and retrain systems when necessaryTest and debug programsImprove functionality of existing systemsImplement security and data protection solutionsAssess and prioritize feature requestsCoordinate with internal teams to understand user requirements and provide technical solutions   qualifications: Experience level: ExperiencedMinimum 5 years of experienceEducation: Bachelors  skills: Machine Learning SQLGoogle CloudPostgreSQLPython Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility). For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information.