Senior Natural Language Processing Engineer
2 weeks ago
About Zonda
We're not just envisioning the future of housing – we're crafting it. At Zonda, we don't just seek employees; we seek trailblazers, dreamers, and innovators.
Our 2030 Vision
We're setting the trends, rewriting the rules, and shaping the future of housing in an environment that's as exciting as it is rewarding.
Job Summary
As a mid-level Machine Learning Engineer II, you'll be responsible for developing and maintaining natural language models-based product development and maintenance.
Key Responsibilities:
- Curation, cleaning, and maintenance of datasets for NLP models.
- Develop, optimize, and deploy NLP models.
- Work with Product stakeholders to capture and establish requirements for natural language models.
- Collaborate with Product Managers, software engineering teams, and other departments to design NLP products for inference.
- Steer consolidation of dataset requirements, acquiring data, annotation, management, and version control for NLP applications.
- Monitor ML models in production, setting metrics to identify drift, and establish corrective measures for restoring model performance.
- Identify and implement appropriate tools for monitoring product performance in inference.
- Ownership of technical documentation related to datasets, model selection, training experiments, and production infrastructure.
- Continual learning and self-improvement with a focus on latest trends, techniques, and best practices in Machine Learning.
Requirements
- Bachelor's degree in computer science, Engineering, or a related field.
- 3+ years of experience in Machine Learning, Data Science, or a related field.
- Proficient in Python and working knowledge of ML libraries PyTorch and scikit-learn.
- Experience and knowledge of LLM framework libraries such as LlamaIndex or Langchain.
- Strong mathematical, analytical, and problem-solving skills.
- Good understanding of Machine Learning algorithms and models (Language processing models such as GPT, BERT, etc).
- Experience in designing ML products for inference in cloud.
- Ability to structure and execute an ML project from start to completion, for both training and inference.
- Excellent communication and teamwork skills; ability to work in a team.
- Experience with cloud computing platforms like AWS, Google Cloud, or Azure.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Experience with version control systems like Git.
Salary Information
The estimated salary range for this position is $120,000 - $150,000 per annum, based on industry standards and location.
Why People Love Working Here
- We offer meaningful work and opportunities for career growth
- Competitive Salary
- Comprehensive benefit package (Medical, Dental, Vision)
- Paid vacation and general holidays
- Education Allowance
- Employee & Family Assistance Program (EFAP)
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