Data/ML Engineer

Job Title: Data/ML Engineers Job Type: Contract Job Location: US(except CA/NYC) or Canada (Toronto) Pay Rate: $40/Hr-$50/Hr • Hiring Senior engineer, need to understand data and pattern and come out with ML solution. • Need to work closely with Engineering team for integration. • Need to figure out pattern in the data. • Work with Applied Researchers, Engineers, Analytics and multi-functional teams to produce end-to-end production-ready solutions. • Analyze data, interpret experiments, and uncover trends, insights, and opportunities. Job Requirements:Python, SQL, Scala or Java Must Have skills : • PyTorch, Huggingface transformers, Deep Learning, Spark/Hadoop, MLOps • Strong Communication, can work with cross functional teams. Data/ML Engineer (Marshall Wu-Engineer side focus (pipeline and deployment) Team Overview Advertising is one of the fastest growing areas in customer which in some ways, will define the future of customer. Digital advertising as an industry is growing rapidly, and the landscape is shifting as ecommerce advertisers are finding better value with ecommerce companies like customer. As they shift budget from the duopoly of Google and Facebook, it creates a huge opportunity for customer. Advertising is also amplifying customer’s ecommerce by providing a tool for our sellers to move inventory and for buyers, by surfacing high quality items. Team Role This team focuses on building data / ML services for our advertiser sellers, to guide them ways to optimize for their ad budget and goals, for example by recommending the right inventory, keywords, budget, and bids to apply for their campaigns, and continuously optimize campaigns for advertisers. This is a relatively new area but with a very high business potential and need. It would allow you to work with massive amounts of data and use a variety of data science techniques. 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 Requirements • BS or MS in Computer Science or equivalent experience • Experience with big data technologies (i.e., Spark, Hadoop) and database technologies (i.e., SQL, NoSQL) • Good understanding of machine learning applications. • Strong programming skills in SQL, Python, Scala or Java • Experience in solving problems using data science, building practical solutions, and deploying models into production for evaluation • Strong ability to analyze large datasets, identify trends, and derive actionable insights. Expertise in data mining and segmentation. Experience with data visualization tools (e.g., Tableau/Kibana) is a plus.