Machine Learning Engineer

A well-funded early-stage startup that is growing to transform the future of DCAI is looking for a Machine Learning Engineer. The engineer will work with the team to solve difficult technical problems and develop new machine learning capabilities that will impact the products. The company is building open-source and SaaS enterprise products for data scientists/engineers to effectively improve their data quality and produce more reliable ML models. This will be a nice opportunity to solve challenging problems and positively impact the team.

Job Responsibilities:

• Develop back-end infrastructures, data pipelines, and/or machine learning models for AI-powered products
• Build a working ranking model and automate different modeling pipelines
• Deploy the features for solving complex data management problems
• Configure machine learning models to end-users feature and run experiments
• Develop ML models utilizing  computer science fundamentals like data structures, algorithms, programming languages, distributed systems, and information retrieval

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 3+ years of relevant experience as a Machine Learning engineer
• Experience in working with Python, Pandas, and Numpy
• Knowledge of developing and configuring CI/CD pipelines
• Must possess the ability to utilize resources like Github
• Understanding of data science and ML services is necessary
• Ability to work using Sklearn, Huggingface, Pytorch, Pytorch-lightning, Autogluon, Tableau, Trifacta, Alteryx, SQL, DataBricks, Snorkel, Gradio, and Streamlit will be beneficial