Machine Learning Engineer (W2 Contract)

Role: ML Engineer Type: W2 Contract (EAD, USC, GC) - No C2C or Third Party Location: 100% Remote (USA/Canada) Experience: 4-6 Years About the Role About the Role We are seeking a highly organized and detail-oriented Machine Learning Engineer with Pipeline and Deployment experience. Work with massive amounts of data and use a variety of data science techniques. Experience on building data / ML services to optimize for their ad budget and goals, Must Have • Bachelor’s or Master’s degree in Computer Science with proven experience building and deploying ML models in production, Pipeline and Deployment. • Strong Python, Java and SQL skills. • Data Pipeline using Spark • Data Structures and Algorithm Problem Solving Skills. • Experience handling Large Amount of Data. Responsibilities • Work with Applied Researchers, Engineers, Analytics and multi-functional teams to produce end-to-end production-ready solutions. • Design and implement efficient data pipelines to collect, process, and analyze large datasets. • Integrate/deploy machine learning models into production systems. • Conduct data analysis to identify trends, insights, interpret experimentation and size opportunities within the advertising domain. Translate complex datasets into understandable and actionable recommendations for both technical and non-technical stakeholders. • Build dashboards to monitor system/business performance and status