Machine Learning Engineer

🚀 Join Our Team as a Senior ML Engineer 🚀

Are you passionate about cutting-edge technologies in machine learning and eager to contribute to large-scale AI projects from inception to production? We are seeking a talented individual with robust software engineering skills and extensive experience in ML Infrastructure to join our dynamic team!

Responsibilities:

• Provision cloud infrastructure for ML projects across diverse datasets including text, image, and structured/tabular data.
• Collaborate on large-scale Data/AI initiatives with Cleanlab enterprise clients, guiding projects from conception to deployment.
• Lead a team of approximately 5 ML engineers as an individual contributor, providing technical expertise and guidance.
• Drive innovation through the exploration and implementation of new algorithmic techniques, leveraging the latest advancements in Foundation models.

Qualifications:

• Minimum 5+ years of hands-on experience in ML with a focus on ML Infrastructure challenges in production environments.
• Proficiency in Python (pandas, scikit-learn, numpy, Jupyter) and frameworks such as PyTorch/PyTorch Lightning, and Hugging Face.
• Strong familiarity with relational databases, AWS, Docker, Git, and CI/Testing tools (e.g., Jenkins).
• Bonus: PhD in Machine Learning, notable research publications, or open-source contributions.
• Experience with Sagemaker, MLflow, Ray, ELT tools, and data cleaning tools is a plus.
• Knowledge of Cleanlab or similar data-centric AI tools, as well as LangChain and LLMOps stack, is advantageous.

If you're ready to take your career to the next level and make an impact in the world of AI, apply now and become a key player in revolutionizing data-centric AI projects with us!