Hace 1 día
Machine Learning Engineer_Mexico
Si el reclutador te contacta podrás conocer el sueldo
acxiom llc en
Esta es una vacante externa, deberás completar el proceso en el sitio de la empresa.
Sobre el empleo
Categoría: Tecnologías de la Información - Sistemas
Subcategoría: Informática
Educación mínima requerida:
Detalles
Horario:
Tiempo completoEspacio de trabajo:
PresencialDescripción
ML Engineer within the Data and Identity Applied Science and Machine Learning team leverages Acxiom and third-party software to create solutions to business problems defined by specific business requirements. In this position, you will draw upon technical, ML engineering, Data and MLOps experience to solve complex marketing analytics problems on very large volumes of data.
As a Machine Learning (ML) Engineer You will build and operationalize machine learning pipelines involving terabytes of data. You will have the responsibility to help define requirements, create software designs, implement code to these specifications.
As an ML Engineer, you will be expected to:
Location: Lomas Atlas, Mexico City, MX
Qualifications
Experience Required
Preferred Experience
What will set you apart
Acxiom is a multinational company based in the United States that provides technical and consulting services on strategy and analytics of data. Our work for some of the largest brands in the world includes applying technology, identifying ways for our clients to reach customers, understanding their customers and giving advice about using such services to create business growth. By joining our team in Mexico, you will be part of a new location for Acxiom and will have the opportunity to work with colleagues in Mexico as well as teams in the United States and other places.
Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.
Primary Location City/State:
Mexico City,
Additional Locations (if applicable):
Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.
Attention California Applicants: Please see our California Consumer Privacy Act notice here.
Attention Colorado, California, Connecticut, Maryland, Nevada, New York City, Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact recruit@acxiom.com.
As a Machine Learning (ML) Engineer You will build and operationalize machine learning pipelines involving terabytes of data. You will have the responsibility to help define requirements, create software designs, implement code to these specifications.
As an ML Engineer, you will be expected to:
- Work with Applied Scientists, Data Scientists, Product owners, ML Engineers, and Software Engineers to design and deliver ML solutions in production at scale.
- Develop ML workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML systems and data infrastructure.
Location: Lomas Atlas, Mexico City, MX
Qualifications
Experience Required
- Bachelor's Degree in Computer Science or equivalent experience to a Bachelor's degree
- 2+ years professional experience in software development
- Computer Science fundamentals in object-oriented design
- Computer Science fundamentals in data structures
- Computer Science fundamentals in algorithm design, problem solving, and complexity analysis
- Knowledge of, at least, one modern programming language such as Java, C++, C, Java, or Perl
- Good communication skills: communicate ideas clearly and effectively to other members of the analytics team and to the client at multiple levels (both technical and business)
- Proficient English Speaking and Writing
Preferred Experience
- 3+ years of experience building scalable ML infrastructure and big data systems.
- Experience successfully mentoring junior ML Engineers.
- High attention to detail and proven ability to manage multiple, competing priorities simultaneously.
- Experience MLOps and orchestration tools such as Airflow, Kubeflow, Optuna, BentoML or similae tools.
- Proficiency with Apache Spark, EMR/DataProc and Cloud based tools (Snowflake, Redshift, EMR, Glue, Step Functions, Lambda, Step functions, AWS Batch, or similar etc.).
- Experience with ML libraries and deep learning frameworks (PyTorch, TensorFlow, etc.).
- Experience with end-to-end software development and life cycle of ML solutions.
- Analytic problem-solving skills with the ability to think outside-the-box
- Analytical thinker that excels at analyzing and understanding data to answer questions
- Excellent understanding of data concepts, data architecture, data manipulation/engineering, and data engineering design
- Passion for considering how projects fit into the wider business picture
- An understanding in multiple types of programming languages in order to be adaptable (statically typed vs. dynamically typed and object-oriented vs. procedural)
- Self-Starter - Able to work independently with little guidance
- Adaptable - Able to adapt to diverse technical challenges and systems
- Ability to formulate and present insights with gathered data to both technical and non-technical peers, leaders, and clients
What will set you apart
- Experience in CI/CD/DevOps, Deployment and Automation Tool - CI/CD, Jenkins, Terraform, Cloud Formation Template or similar
Acxiom is a multinational company based in the United States that provides technical and consulting services on strategy and analytics of data. Our work for some of the largest brands in the world includes applying technology, identifying ways for our clients to reach customers, understanding their customers and giving advice about using such services to create business growth. By joining our team in Mexico, you will be part of a new location for Acxiom and will have the opportunity to work with colleagues in Mexico as well as teams in the United States and other places.
Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.
Primary Location City/State:
Mexico City,
Additional Locations (if applicable):
Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.
Attention California Applicants: Please see our California Consumer Privacy Act notice here.
Attention Colorado, California, Connecticut, Maryland, Nevada, New York City, Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact recruit@acxiom.com.
Recuerda que ningún reclutador puede pedirte dinero a cambio de una entrevista o un puesto. Asimismo, evita realizar pagos o compartir información financiera con las empresas.
ID: 20487956
También puedes buscar
También puedes buscar
Refina la ubicación de tu búsqueda
Refina la ubicación de tu búsqueda