Senior Intelligence Analysis/Machine Learning Engineer, Plain Concepts

• More than 7 years of experience in AI / Machine Learning / Computer Science
• Can build an “end-to-end software product” which has machine learning component
• Knowledges in applied computer vision
• Strong skills in Python and reasonable SQL understanding
• Experience in building ML/deep learning pipelines and models
• Experience in implementing production ready ML models using current ML/Deep learning techniques
• MLOps experience is very valuable for the team
• Experience in projects with NLP is neccesary
• ENGLISH IS MANDATORY

Desirable

• Titles? Meh, we’re not big on them, but let’s call this one Data Scientist like the other colleagues at the team
• As part of our international AI/ML squad, you’ll craft tailor-made solutions that wow our clients
• We’re hunting for a passionate AI Engineer with a solid technical background
• Your mission? Train, deploy, and put groundbreaking developments into action — and that’s just the beginning
• You’ll tackle the unique challenges of AI-powered software alongside a team of brilliant minds
• You’ll dive into cutting-edge projects using the latest tech to push boundaries and make an impact
• Whether you prefer working from home or vibing with us at our offices, the choice is yours
• AGILE isn’t just a buzzword here — it’s how we roll. Multidisciplinary teams? Check. Full ownership of projects? Double check
• Participating in the design and development of AI solutions for challenging projects
• Building production level ML/AI solutions, with solid software engineering and ML/AI principles
• MLOps Automated deployment and monitoring (models and infrastructure)
• Data analysis (data cleaning, variable transformation, etc.)
• Developing and training ML models
• Putting AI models into production
• This means parallelizing, optimizing, tuning, testing the models to deploy in a production environment

• The selection process: Simple, just 3 steps
• Phone screen
• 2 interviews with the team