Responsibilities
- Guide the iterative development, validation, and deployment of AI/ML models.
- Team up on end-to-end automation efforts to transition models to production.
- Design and develop innovative predictive models, metrics, and dashboards using structured and unstructured raw data to uncover actionable insights.
- Create and present data findings in various visual formats to provide insights to the organization.
- Build and sustain strong relationships with key stakeholders to understand business needs and priorities, contributing to the engineering process and culture.
Requirements
- 4+ years of practical experience in Machine Learning and Data Science, focusing on classification, clustering, time series analysis, encoder-based transformer models, explainability, and optimization.
- Advanced knowledge of SQL and Spark/PySpark.
- 2+ years of experience and knowledge in MLOps, including deploying, operationalizing, and maintaining scalable AI/ML solutions in production.
- Advanced proficiency in Python and machine learning frameworks (e.g., PyTorch, TensorFlow, MLFlow, etc.) and libraries commonly used in NLP and Generative AI.
- Advanced proficiency in data cleaning and data transformation.
- Proven ability to debug, analyze, and profile existing code.
- Excellent collaboration and communication skills.
- Strong analytical and problem-solving abilities.
Nice to Have
- Experience with infrastructure design and deployment utilizing cloud services for the implementation of data pipelines.
- Experience with Databricks.
Benefits
- The company values diversity and is an equal opportunity employer, embracing all individuals and their unique qualities. The company believes in the happiness, health, and fulfillment of its employees.
- Individuals are encouraged to apply based on their passions.
- The company promotes personal and professional growth, offering excellent time-off programs, comprehensive wellness initiatives, and recognition through competitive pay and benefits.
- The company is committed to community impact, including volunteer days and charitable initiatives, providing opportunities for employees to thrive in both their careers and personal lives.
Compensation
Not specified
Work Arrangement
Not specified
Team
Not specified
Other
Proficiency in English is required for this position as it involves regular interaction with English-speaking stakeholders, co-workers, managers, and/or clients worldwide. The back-office support teams, including but not limited to Human Resources, are primarily English-speaking. Employees need to communicate in English to administer their business relationships effectively. Due to the high volume of interactions with these English-speaking individuals, it is not possible to reorganize the company's activities to avoid this requirement.
Not specified
