Machine Learning Engineer
Job TitleMachine Learning Engineer
We are seeking a Machine Learning Engineer to join our team in Leeds (remote position possible). You will be working alongside the CTO and COO to identify opportunities for leveraging company data to drive, build and scale the next generation of eCommerce marketing platform.
In this role, you will have the opportunity of working in a small team of exceptionally talented and driven individuals who are all making a massive impact on our business. There is no micromanaging or babysitting at Bidnamic, everyone here drives their own ideas all the way from start to finish, everyone is given an equal opportunity to flourish and see the fruits of their labour.
- No telecommuting
- No Agencies Please
- Take on the challenge to mine and analyze data from the fastest growing retailers and be a crucial part in shaping our clients’ success.
- Drive and optimize the product development of the next generation marketing platform.
- Data models and innovative algorithms are the key to Bidnamic’s unique technology and you are ready to leave your mark
- Exceptional communication skills, both verbal and written, in order to explain important information and insights of your work to colleagues, clients or public relations
- Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture
- Use exceptional mathematical skills, in order to perform computations and work with the algorithms involved in this type of programming
- Collaborate with data engineers to build data and model pipelines
manage the infrastructure and data pipelines needed to bring code to production * Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production * Use data modelling and evaluation strategy to find patterns and predict unseen instances analyse large, complex datasets to extract insights and decide on the appropriate technique research and implement best practices to improve the existing machine learning infrastructure provide support to engineers and product managers in implementing machine learning in the product.
We like to see proven expert abilities in:
- A variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc. and their real-world advantages/drawbacks).
- Manipulating data sets and building statistical models, has a Master’s or PhD in Statistics, Mathematics, Computer Science or another quantitative field
- Experience using statistical computer languages (R, Python, SQL, SciKit-Learn, Panda, NumPy/SciPy etc.) to manipulate data and draw insights from databases and large data sets
- Knowledge of advanced statistical and data mining techniques (GLM/Regression, Random Forest, Boosting, Trees, Neural networks, NLP, text mining, etc.) and experience of application.
- Strong problem-solving skills, ideally in the field of product development
Development skill set requirements:
- Python ( + 4 years of experience)
- Experience in multiprocessing in Python.
- Experience with relational databases such as Postgres or those based on similar SQL dialects.
- CI/CD with Gitlab, Terraform and Elastic Beanstalk
- Familiarity with scientific Python libraries such as NumPy, SciPy and Pandas.
- Experience in creating data intensive (high frequency or big data) applications.
- Large-scale computing challenges and developing and deploying scalable applications using cloud services using AWS (e.g. EC2, S3,SES)
- Distributed applications with Docker
- Experience with Test Driven Development (TDD)
- Understanding of mainstream software development methodologies, values and procedures. This includes OO development, concurrency and design patterns.
- A desire to make work fun and enjoyable
Considered as a plus:
- Experience with Apache Airflow
- Experience analysing data from 3rd party providers: Google AdWords, Google Analytics, Google BigData, Bing Ads
- Experience with Redis
- Experience developing with Google APIs
About the Company
Bidnamic is a marketing technology platform that helps retailers unlock the full potential of Google Shopping. Our platform provides retailers with an unfair advantage on Google Shopping, significantly increasing market share by outranking competitors and increasing revenue. Our precision bid management increases efficiency of ad spend, thus lowering costs to acquire the right customers.
Bidnamic achieves this by applying machine learning to profile every product SKU in the retail catalogue, predicting its true bid value algorithmically. Real-time performance analysis and high-frequency bid management react at the speed of the market, unlocking the full revenue potential of every product.
Bidnamic was born out of necessity whilst scaling our own eCommerce venture and we are now working with an initial cohort of leading retailers – where we are already delivering a 60% increase in revenue! We are just at the beginning of this journey and this creates an exciting opportunity for your work to have a huge impact.
We are backed by notable Investors, including the board advisor to Net-A-Porter, Co-Founder of Booking.com – thought leaders at Google, IBM and founders of many of today‘s fastest growing startups.
- Contact: antonio
- E-mail contact: firstname.lastname@example.org
- Web: https://bidnamic.com/careers/machine-learning-engineer/