Machine Learning Engineer

We are seeking a Machine Learning Engineer to join our growing Solutions Engineering – Professional Services Team. The Treasure Data Solutions Engineering team has two areas of focus - Pre-sales and Professional Services, and this role will focus on the Professional Services competency. Things you will do-Be the Subject matter expert in all things Treasure Data. Equipped with solid knowledge of our Cloud based Customer Data platform, you will provide the technical and ML expertise to customers towards a successful, scalable implementation.-Help our customers extract the maximum value from their data by building ETL pipelines, deploying ML models and applying Data Science methods that will allow business users to get valuable insights and solve complex real-world business problems.-Ensure ML solutions and ETL pipelines are scalable, efficient, well-documented and easily customizable to different types of data and business use cases.-Guide customers and prospects in best-practices for implementation and architecture of their ML-driven use cases on the Treasure Data platform. -Help research latest technologies and DS methods for building cutting-edge ML solutions and work with our ML team on developing and productizing new solutions.-10-15 % travel is may be required as part of this job Your background and skills will include-University Degree in a quantitative discipline - Math, Physics, Statistics, Engineering, or Computer Science.-Deep knowledge and 5+ years of hands-on experience in both SQL and Python, working with Big Data and understanding the limitations and computational efficiency of different SQL/Python functions, methods and data structures.-Comfortable working on team projects and collaborating via version control tools such as GitHub and GitLab. -Solid understanding of data pre-processing and Machine Learning libraries such as Numpy, Pandas, Scikit-learn, TensorFlow, and Keras.-A strong background in data & technology and an extensive track record (3-5 years or more) of successful implementations of Customer focused solutions. Good understanding of Marketing Analytics and the Martech/Adtech Industry a plus. -Have strong customer communication and presentation skills as well as the ability to dive into technical topics and know-how, to successfully work as a trusted advisor to ensure the success of prospects and customers.-Engagement with developers, business analysts, and IT confidently and succinctly and understand how they want to work with data.
-When it comes to delivering disruptive solutions to age-old problems, you are theexpert. This can be demonstrated by a track record of happy, referenceable customers who appreciate your technical acumen and your diligence. This is a hands-on role – be ready to jump in and use the product from your first day. We would be thrilled if you-Have an existing portfolio of projects that demonstrate your ability to successfullyapply ML and Data Science methods to real-world business problems.-Have a good understanding of Digital Marketing and Marketing Technologies. -Have experience working with Big Data technologies (such as Hadoop, MapReduce, Hive/Pig, Apache Spark, MongoDB, etc) -Good understanding of AWS tools - S3, Redshift, EC2 instances, Lambda etc.-Have experience in Digdag, Fluentd, Hivemall or Embulk. -Have wide industry experience across Automotive, retail, media and entertainment, retail, telco/media markets or Ecommerce.Treasure Data’s mission is to bring all customer data together for a single, actionable view of the customer. We’re here to help harness and analyze the information needed to create a data-driven enterprise. Our enterprise Customer Data Platform (CDP) helps companies harness and analyse the information needed to create a data-driven enterprise. We help bring all customer data together for a single, actionable view of their customers. Only Treasure Data can handle the scale, security, and complexity required by a global enterprise in a way that empowers business decision-makers to deliver a superior customer experience and creates a unique competitive advantage. We empower companies to better know their customers, engage in meaningful ways along the entire customer journey, measure success and grow their business. Simply put, we are the only independent CDP with proven experience in solving the most complex data problems for the enterprise. We have 150+ connectors to work with any existing technology stack and are schema-flexible to ingest all types of data. We deliver enterprise-level security, scalability and continuity so you can unlock the power of customer data to deliver stellar brand experiences at scale. Founded in 2011 in Mountain View, California, with offices in London, Japan and Korea, Treasure Data is backed by Softbank. 
We are an equal opportunity employer dedicated to building an inclusive and diverse workforce. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Agencies and recruiters, we cannot consider your candidate(s) without a contract in place. Any resumes received without having an active agreement will be considered gratis referrals to us. Thank you for your understanding and cooperation!