Job ID 5398/5921Why NessWe know that people are our greatest asset. Our staff's professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world's leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world. You'll gain knowledge by working alongside other highly skilled professionals that will help accelerate your career progression. You'll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities, and attractive compensation. Requirements and responsibilitiesWhat you'll do Our data scientists are the link between our business, customers and technology solutions. By modelling and transforming datasets, our data scientists provide valuable insights that help us to make decisions and build customer solutions. As a data scientist, you’ll work on challenging projects at a large scale with real life data. You define new metrics, build new tools, and work on machine learning solutions. You’ll help us deep dive the needs of our customers so we can keep adapting to their demands and improving their experience.What you'll bring <ul><li>Data Science experience Senior level; </li><li>Experience with Standard AI mathematic models, deploying the models; </li><li>Communication skills and experience of writing detailed specifications; </li><li>Should be a self-starter, team oriented and be able to work independently and creatively; </li><li>Able to thrive in a fast-paced environment and learn quickly. </li></ul>Key skillset <ul><li>Standard AI Algorithms (anomaly detection, linear regression); </li><li>Python, Tensorflow working with AI models and deploying the models  </li><li>Statistical models (math background), </li><li>Data Science with Math; </li><li>Cloud; </li><li>How Models are built (templates); </li><li>Custom-built models; </li><li>Ideally building models in FS arena; </li><li>Predictive analytics; </li><li>Not GenAI but standard AI Algorithms (anomaly detection, linear regression, etc...)</li><li>English - advanced (spoken and written); </li><li>Pro-active and Team Oriented approach; </li><li>Ability and willingness to learn new technologies; </li><li>Position is suitable for an engineer who is experienced with standard AI mathematic models </li><li>Position is not suitable for students or Junior Engineers.</li></ul>Not checking every single requirement?If this role sounds good to you, even if you don't meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills. Let's meet and you may just be the right candidate for one of our roles. At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity.

AI Data Science Engineer

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