Senior Technical Manager Machine Learning
Há 4 dias
We are seeking a highly skilled and experienced Senior Technical Manager to lead our Machine Learning team at ADP. As a key member of our DataCloud team, you will be responsible for designing and implementing advanced analytics and predictive modeling solutions using machine learning techniques.
Key Responsibilities:
- Formulate analytical problems and develop compelling visual representations of analyses with actionable recommendations.
- Collaborate with product, design, and engineering teams to plan, design, develop, and deploy high-impact data products supporting multiple products across ADP.
- Write pristine code and documentation, champion and define best practices to produce highly adaptive, high-performing, continuous learning AI models/systems.
Requirements:
- Master's degree in computer science, engineering, math, or related field.
- Knowledge of generative and embedding models.
- Exposure to Databricks platform, MLflow, and/or Jupyter notebooks.
- Acquaintance with AWS cloud solutions (S3, Glue, Lambda, SageMaker).
- Natural Language Processing (NLP) solutions such as BERT.
- Data visualization chart tools such as Matplotlib or Highcharts.
- Keras, Tensorflow or similar frameworks.
- Use of container frameworks such as Docker or Kubernetes.
- Advanced English language speaker.
What You'll Love About Working Here:
- Courageous team collaboration.
- Surrounded by curious learners.
- Act like an owner & doer.
- Give back to others.
About ADP:
ADP is a leading provider of human capital management solutions to employers worldwide. Our DataCloud team is responsible for designing and implementing advanced analytics and predictive modeling solutions using machine learning techniques. We are a geo-distributed team that intensively collaborates to build robust and user-centric solutions.
Location:
ADP Labs located in Porto Alegre, Brazil, provides software development and infrastructure for world-wide ADP products, working with large-scale initiatives across multiple geographies, including Brazil, the United States, and India.
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