We are a full stack AI company, enabling businesses to
create, "productize" and scale data-driven solutions, quickly and
economically. We strive to make AI work in real world and help realize
its full benefits.
Here are some interesting facts about Dive:
- Team of early practitioners of Machine Learning (since 2001) with experiences in developing cutting-edge AI based solutions
- Our Data Science team includes winners of KDD Cup 2007 / Netflix Challenge
- Dive AI Platform is recognized by DT50 (Google, McKinsey, Rocket Internet), Tie50, EFM Berlinale and MIT Technology Review
- International customer base
We are seeking an accomplished (Senior) Machine Learning Engineer to
be part of our platform development team. In this role, you’ll be
embedded inside a vibrant team of data scientists. You will be expected
to help conceive, code, and deploy AI models at scale as a product,
using the latest industry tools. Important skills include data
wrangling, engineering end to end processes with AI/ML foundations,
developing models, and testing metrics.
The purpose of your role:
- Be responsible for the architecture, development and
management of scalable machine learning environments and complex machine
learning applications
- Create and refine features from the underlying data and build efficient workflows to train, evaluate and deploy models
- Partner with data scientists to understand, implement, refine and design machine learning and other algorithms
- Partner with software developers to integrate the models into our technical platform and products
- Work cross functionally with product managers, data scientists and product engineers to work on MVPs
The expertise we’re looking for:
- BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience
- Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark)
- Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering)
- Understand machine learning principles (training, validation, etc.)
- Knowledge of data query and data processing tools (i.e. SQL)
- Computer
science fundamentals: data structures, algorithms, performance
complexity, and implications of computer architecture on software
performance (e.g., I/O and memory tuning)
- Software engineering
fundamentals: version control systems (i.e. Git, Github) and workflows,
and ability to write production-ready code
- Mathematics fundamentals: linear algebra, calculus, probability
- Interest in reading academic papers and trying to implement state-of-the-art experimental systems
- Experience using deep learning architectures
- Experience deploying highly scalable software supporting millions or more users
- Experience with GPU acceleration (i.e. CUDA and cuDNN)
- Experience with integrating applications and platforms with cloud technologies (i.e. AWS and Azure)
- High level of spoken and written English
What DIVE offers:
- Offices with great atmosphere, young talented team members
eager to do something big. prime office location in the heart of the
city of Madrid
- Attractive salary and bonus scheme
- Become part of a growing start-up with global aspirations
- Expand your professional network internationally
- We foster anentrepreneurial culture and encourage our teams to take initiatives
- And
because all is not work, we organize “Divebeers” events, lunch outings
to discover new restaurants in the city centre and other fun activities.
- At Dive, ideas rule, performance shines, and positive attitude makes us successful as a TEAM!