Our positions are located within the triangle of the Roma, Condesa and Juárez boroughs. At this point, though, we cannot offer (nor would we be comfortable with) remote positions, since we consider cohesion and team-building one of our main drivers, and having face-to-face conversation is a big part of such work.
* A talented human collaborating with Datank.ai
Datank.ai is looking for a Backend Engineer to help us materialize the software quality attributes necessary for our Machine Learning platform "Julieta", which aims to bestow Intelligence to organizations in the most literal sense.
To that end, we're building pipelines to automatically integrate disparate data formats, schemas, and sources in a transparent, painless and flexible manner, so we need to build them with high availability, low latency and light infrastructure footprint in mind. You'll work closely with our Machine Intelligence and Product Design teams to achieve these attributes, and at the same time obtain actual "flight hours" working with large scale data processing problems.
Datank.ai is looking for a true Data Scientist that has seen some action in the battlefield of Machine and Statistical Learning for the enterprise. This position will be instrumental in delivering a Machine Learning platform for organizations that not only brings data silos together in a coherent, integrated and catalogued store automatically, but also makes it available to decision makers so they can ask questions on the present and future of their business.
This role is part of our Machine Intelligence team, and will work closely with our Chief Data Scientist to help evaluate research efforts, organize team sprints, and help establish product roadmap both for the Machine Intel team and for the Professional Services team. This is a senior position, and will require a certain amount of leadership and organized work, which in Datank.ai's culture, explicitly means being of service to the team, not having power over their work.
Day-to-day activities will entail having these windows open at all times: PyCharm, Spark, zsh terminal, RStudio, and 3 or 4 browser windows with Github, journals and ebooks. Your job will include understanding, communicating and discussing research papers, implementing the research with production-grade code, developing statistical and machine learning models to automate data quality and application-specific tasks, then take them to production while keeping an eye on software quality attributes such as low latency, lightweight footprint and fault tolerance.
Datank.ai is looking for a DevOps Engineer to design, provision and manage the necessary infrastructure for both the Engineering and the Machine Intelligence teams to deliver a Machine Learning platform that bestows Intelligence to organizations, in the literal sense.
This role will help define the necessary computing, platform, storage and network resources, using the paradigm of "Infrastructure as Code", both for Platform Engineering and Machine Learning Research purposes. Day-to-day activities will include automation of infrastructure tasks and design of infrastructure and capacity planning roadmaps. The ideal candidates will be either a SysAdmins that have moved on to Software Engineering, or Software Engineers that have had to take ownership of cloud infrastructure projects.
This role will be in charge of developing parts of our platform that require user interaction with their organization's data, in order to sustain "conversations" that are rich, and assisted by automatically-generated visualizations and a fluid UI. You'll work closely with Product Design and Machine Intelligence teams to effectively bring human-data interaction to a whole new level, and on the way, you will obtain real-world experience working with large scale data problems that can only be addressed by Machine Learning.
Datank.ai is looking for a Lead Product Designer that can help change the game of human + data + intelligence interaction and thus bestow real, valuable intelligence to organizations so they arrive to data maturity faster.
This role will bring abstract ideas, requirements and business drivers together in a coherent whole and turn them into new features, user flows and interactive prototypes. This leadership role will also create communication and design artifacts to bring together our Platform Engineering, Product Design and Machine Intelligence teams. In Datank.ai's culture, leading means being of service to the team, not having power over their work.
Through the use of ethnographic research, communication design, service blueprints and business canvases, this role will help bring our vision from Sprint 0 to the final experience, iterating over it as necessary.
Datank.ai is looking for a talented User Interface Designer to help us deliver a great Interface and Experience for users of our Machine Learning platform, which aims to change the way organizations connect, share, prepare, use and govern their data assets.
This role is part of the Product Design team, and will work closely with the Platform Engineering and Machine Intelligence teams in a disciplinary workflow to help define communication, brand, elements and language before bringing it all together in a digital product. Day-to-day activities include designing UI assets for web and mobile, and for customer-facing aspects of the product, steering communications and language decisions, influencing user research and ensuring the deliverables to the Platform Engineering team are unambiguous and of the utmost clarity.