Join Our Team : Machine Learning Engineer (MLOps)
Seeking talented individuals to join our team as an MLOps Engineer. Here's your chance to work on cutting-edge machine learning projects alongside MIT PhDs who are prominent in ML research.
What You'll Do :
- Work on cutting-edge MLOps projects with guidance from a team of MIT PhDs.
- Pioneer novel software systems for the rapidly growing field of data-centric AI.
- Develop and maintain cloud infrastructure for a web application serving numerous users and datasets.
- Collaborate with other engineers to build and maintain large-scale systems, establishing a strong engineering culture across the company.
What We're Looking For :
- Strong software engineering skills with experience in productionizing code and models in cloud environments.
- Experience working in MLOps, including data processing, model deployment, and monitoring.
- Comfortable with large software systems and capable of tackling hard MLOps challenges.
- Minimum 5+ years of work experience in MLOps, with a track record of dealing with massive datasets and reliable model serving.
Qualifications :
- Proficiency in Python (pandas, scikit-learn, numpy, Jupyter).
- Experience with PyTorch / PyTorch Lightning and Hugging Face.
- Familiarity with relational databases and AWS services.
- Knowledge of Docker and Git.
- Experience with CI / Testing tools like Jenkins.
Bonus Skills :
- Familiarity with Sagemaker and MLflow.
- Experience with Databricks, Snowflake, Redshift, or similar platforms.
- Knowledge of ELT tools.
- Familiarity with Cleanlab or other data-centric AI tools.
- Experience with LangChain is a plus.
If you're passionate about MLOps, thrive in dynamic startup environments, and want to work on projects that push the boundaries of AI, we want to hear from you! Apply now to join the team!
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