Responsibilities
- Direct the iterative development, testing, and deployment of AI/ML models.
- Team up on end-to-end automation efforts to transition models to production.
- Engage with structured and unstructured raw data to create and develop innovative predictive models, metrics, and dashboards to reveal actionable insights.
- Present and report data findings creatively in various visual formats to provide insights to the organization.
- Establish and maintain strong relationships with key stakeholders to understand business needs and priorities. Contribute to the engineering process and culture.
Requirements
- 4+ years of hands-on 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 Azure, cloud offerings for the implementation of data pipelines (Azure SQL, Function/Logic Apps, Key Vault, Storage Accounts, Virtual Machines, Azure Monitor, Log Analytics).
- Experience with Databricks.
Benefits
- The company values the diversity of its talented employees and is an equal opportunity employer. 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 through excellent time-off programs, comprehensive wellness initiatives, and competitive pay and benefits.
- The company is committed to community impact, including volunteer days and charitable initiatives, providing opportunities for employees to thrive both in their careers and personal lives.
Compensation
Competitive
Work Arrangement
Remote (Worldwide)
Team
Labs team
Other
- Be cautious of fraudulent recruiting. Legitimate contacts will use an official email address. The company does not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a company employee, please refer to the fraudulent recruiting statement.
- The company actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process.
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