Machine Learning Engineer - Big Data
India, Remote
Applications have closed
Arm Treasure Data
Capture, analyze and act on all of your customer data across every channel and every department. For all of your brands, all around the world.Things you will do
- Be the Domain expert in all things Treasure Data. Equipped with solid and proven knowledge of our Cloud based Customer Data platform, you will provide the technical and ML expertise to customers towards successful, scalable implementations.
- 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 Machine Learning 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 Machine Learning driven use cases on the Treasure Data platform.
- Help research the latest technologies and DS methods for building brand new ML solutions and work with our ML team on developing and productizing new solutions.
Your background and skills will Include:
- University Degree in a quantitative subject area - Math, Physics, Statistics, Engineering, Computer Science or others.
- Deep knowledge and 3+ 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/Spark/PySpark functions, ML algorithms and data structures.
- Experience overcoming big data challenges and reducing complexity and memory usage of compute-heavy algorithms such as NNs, Deep Reinforcement Learning, Clustering Algorithms, Graph Networks etc.
- A strong background in data & technology and an extensive track record (3+ years) 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 capability 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 innovative solutions to age-old problems, you are the expert. This can be demonstrated by a track record of happy, referenceable customers who appreciate your technical savvy and 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 the ability to successfully apply 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, PySpark, MongoDB, Tensor Records, 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.
Who we are: Treasure Data employees are enthusiastic, data-driven and customer-obsessed. Our actions reflect our values of honesty, reliability, openness and humility. Treasure Data moved to remote-based work in March 2020 and is committed to ensuring it remains agile to accommodate shifting preferences of its workforce. While we are not working shoulder-to-shoulder, we still work side-by-side, finding unique ways to connect and create together while also respecting each other’s life priorities outside of work. We offer competitive salary and benefits and named one of the 2021 Best Places to Work. Treasure Data is 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.
What we do: Treasure Data is the only enterprise Customer Data Platform (CDP) that harmonizes an organization’s data, insights, and engagement technology stacks to drive relevant, real-time customer experiences throughout the entire customer journey. Treasure Data helps brands give millions of customers and prospects the feeling that each is the one and only. With its ability to create true, unified views of each individual, Treasure Data CDP is central for enterprises who want to know who is ready to buy, plus when and how to drive them to convert. Flexible, tech-agnostic and infinitely scalable, Treasure Data provides fast time to value even in the most complex environments.
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!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Big Data Computer Science Data Warehousing EC2 E-commerce Engineering ETL Hadoop Lambda Machine Learning ML models MongoDB Physics Pipelines PySpark Python Redshift Research Spark SQL Statistics
Perks/benefits: Career development Competitive pay Flex hours
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