Position: Senior Deep Learning Engineer
Company: Code.Crafted
Category: Data Science
Experience required: 5y
English level: fluent

*Responsibilities:*
 - Advancing company emotion tracking classifiers by utilising latest advancements in deep learning
 - Unlocking large-scale rapid experimentation, and make sure existing tooling and infrastructure are used to their fullest potential throughout the research lifecycle
 - Implementing and modifying machine learning methods using best software development practices.
 - Optimising models for size & speed on mobile devices
 - Developing new behaviour tracking capabilities individually and in collaboration with other team members
 - Providing technology and research support in design of new products and business use cases
 - Rapidly learning new concepts in technology and related areas of our business
 
*Qualification requirements:*
 - An MSc or Ph.D. in an engineering or science field
 Solid background in Deep Learning: 5+ years of experience developing and deploying deep learning algorithms
 - Understanding of ML workflow: preparing the data, implementing and training ML models, evaluating results
 - Strong communication skills to be able to present work clearly to higher level management
 - Experience of working in agile environments
 - Proficient analytical and problem-solving skills, applied towards quality and timely client delivery
 - Experience in speed and memory footprint optimisation of deep learning models is a plus
 - Experience with face or body analysis is a plus
 - Experience in leading a team of machine learning experts is a strong plus
 
*Technical Requirements:*
 - Proven expertise with deep learning models and programming languages such as C++, Python
 - Fluent in Linux/Unix environment, solid expertise in working with AWS or GCP cloud provider, knowledge of Docker is a plus.
 - Professional experience with modern deep learning frameworks, such as TensorFlow, PyTorch, Jax or MxNet.
 - Knowledge/expertise in parallel/distributed computing, such as GPU and TPU based model training
 - Experience with deploying models on mobile and optimizing runtime is a strong plus.
 - Experience with broad range of Machine Learning and Data Science projects is a plus
 - Experience with SQL, RedShift, Drill, Spark, DataBricks, EMR and other data querying tools is a plus
 
*What we offer:*
- Working with the hottest technologies in artificial intelligence and machine learning space, making a pioneering impact in an emotion AI field
- A chance to work in a dynamic team of very smart ML experts (scientists, engineers, data scientists and engineers), where you can truly make a difference and everything you’ll be doing counts
- Great Compensation