Principal Data Scientist/AI Engineer

Years of experience	6+
Language	English
Type of work	Full-time (with at least a few working hours in EST)

We are looking for highly innovative, energetic Principal Data Scientist with experience in enterprise-scale deep learning, forecasting and decisioning model.

You are a perfect cadidate if you are an awesome problem solver who is both methodical and creative, can learn any new technology, are not ashamed of admitting errors, love to take on new challenges, and are a great team player, with strong algorithmic background.

We’d love to chat if you have:

• A PhD or MS in an analytical field such as CS, EE, Statistics, Math, or Physics, along with a minimum of 6 years industry experience building referenceable work.
• Proficiency in Python and machine learning libraries such as Scikit-learn, Pandas, Tensorflow, PyTorch, etc.
• Demonstrated strong experience with Deep Reinforcement Learning.
• Experience building large-scale models with Reinforcement learning, LSTMs, CNNs, GANs, and Gradient Boosting.
• Experience deploying end-to-end ML models to production.
• Experience with time-series data analysis.
• Ability to communicate effectively with customers as well as across all levels of the organization.
• A good grasp of working remotely and collaborating with distributed teams.

Extra points are given for:

• Experience with Docker and Kubernetes.
• Experience with “Big Data” solutions such as Spark and Kafka.
• Experience with cloud environments such as AWS/GCP/Azure.

Client:

You will work for a leading company in the tech industry, with a long history of developing innovative products and services.

Since its inception, this company has been a pioneer in technological innovation, continually bringing new and enhanced products to the market. From its beginnings as a start-up to its current status as a global leader, it has consistently provided cutting-edge solutions to its customers.

A critical factor in its success has been its dedication to research and development. The company has made significant investments in its R&D department, recruiting top talent and equipping them with the resources necessary to expand the limits of what is possible. Consequently, it has maintained a competitive edge and introduced groundbreaking products to the market.