ML Engineer

Key Qualifications

• 10+ years of machine learning industry experience
• Strong experience using machine learning tools, libraries, and frameworks such as scikit-learn, pandas, numpy, pytorch, mllib and others
• Excellent knowledge and experience in all major machine learning algorithms, statistical regression and deep learning included.
• Strong production experience training and evaluating ML models with proper pipelines and metrics
• Proficiency in at least one programming language, preferably Python
• Strong knowledge and hands-on experience with SQL and different database technologies
• Excellent written/verbal communication and interpersonal skills

Description

This role will build the suite of Data, AI, and Machine Learning products, including, but not limited to, LLM and GenAI. - Collaborate with business stakeholders to clarify requirements, use cases and business metrics - Work with data engineers to set up the data pipeline and prepare data sets for model building - Work with business domain experts to understand the data and create features for model training - Design, build, and evaluate models. Partner with the SRE team to deploy the models for inference. Monitor the models’ performance and re-train as needed - Communicate and explain the models to the business partners to secure adoption