Machine Learning Engineer II
4 weeks ago
At Zonda, we're not just envisioning the future of housing – we're crafting it. We're not just following the trends; we're setting them. With our sights set on a groundbreaking 2030 vision, we're not just playing the game: we're rewriting the rules.
As a Machine Learning Engineer II, you will be responsible for Natural Language models-based product development and maintenance. You will work closely with senior engineers and non-technical business stakeholders, contributing to the entire lifecycle of building and maintaining a language processing ML product. An important aspect of this role would be product design and execution bearing cost efficiency and speed.
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.
Qualifications & Skills:
Need to have:
- 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.
Nice to have:
- Masters in a specific field such as Statistics, Data Science, Machine Learning, or AI.
- Utilisation of Generative AI models.
- Knowledge of SQL and NoSQL databases including construction of queries, query optimisation, and schema design.
- API development using standard tools such as FastAPI or Flask.
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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