Fierce data-bass player wanted in our band!
Who we are
A growing team of technical determined people who believe in delivering valuable web & mobile apps. We grow products that range from desktop, mobile, native to big data solutions, with an accent on enterprise and customer-facing platforms. We’re passionate about understanding data in every form, thus a very significant amount of our craft is machine learning based.
We target a continuous deployment process, constantly striving to improve our code quality, test coverage and choosing the best stack for the job.
Sparktech Software is a comfortable and unconventional workplace well known for its vast alternatives to experiment some of the newest technologies. We provide meaningful and engaging work and support free exchange of ideas. It’s the proper environment to take on new challenges and discover continuous learning opportunities in your everyday activity.
Our flat organization is focused on close collaboration, growth and product quality within a creative and fresh atmosphere. We rely on flexible working hours as a means to support a healthy work-life balance. You will work alongside dedicated and innovative engineers and designers to define the future of web solutions. You’ll have the chance to add your own voice, your particular spice to the mix.
What you’re going to do
Assess, analyze and propose optimal approach to solve specific problems, by leveraging different algorithms and machine learning solutions
Work with a broad range of machine learning techniques, from supervised (SMV, Neural Networks, Naive Bayes, Decision Trees, etc.) to unsupervised learning (Clustering, Topic Modeling, etc.)
Adapt standard machine learning methods to best exploit modern parallel environments
Apply computational algorithms and statistical methods to unstructured data
Code deliverables in sync with the development team
Combine analytic methods with advanced data visualizations
Write clean, well engineered, maintainable code that conforms with accepted standards
Develop quality code through unit and functional testing
Participate in the iteration planning and team standup meetings
Who we’re looking for
We think it’s essential to have a continuous drive for self improvement and self motivation. Instead of opposing change, we count on you reshaping your mindset to accommodate the new in your daily craft. Your initiative and accountability will open doors much faster and we trust you’ll do your best in being productive and efficient.
Your positive and team oriented attitude will support you in working well with your colleagues. Good communication skills will help you create stronger connections. The secret ingredient to succeed in a rapidly expanding environment is to be highly organized and able to balance multiple simultaneous projects. Whatever the (technical) problem, utilize your skills to be part of the solution.
The difference between something good and something great will be your extreme attention to detail and the consistency of your work. Performing independently, with little supervision, will unlock more of your creativity to encourage you to reach your potential. Your passion towards Machine Learning will fuel your inspiration to come up with original ideas on how to get things done. All these will make a major impact on your results.
To complete the ideal candidate profile, you need to have:
BS/MS in Computer Science (advantage if you are working on a PhD degree or contributed to an open source project).
Experience with two or more of the following languages: Scala, Java, Python, Ruby
Knowledge in machine learning: data mining, Natural Language Processing, learning from unstructured & semistructured data and computer vision
Experience with natural language processing toolkits: Wordnet, Stanford NLP, Open NLP, Mallet, Mahout, NLTK, etc.
Experience with computer vision techniques: object detection and recognition
Knowledge about Neural Networks concepts, more specifically Deep Learning
Experience with machine learning frameworks (preferably Tensorflow)
Interest in machine-learning applications and willingness to be very hands on to develop new applications and algorithms.
Experience with Agile methodologies
Good English skills (written and spoken)