Position: Senior Machine Learning Engineer
Company: REW Technology
Experience required: 5y
English level: upper

Hi there! REW Technology is looking for Senior ML Engineer. Join our friendly team! :)

**Role**

As a Senior Machine Learning Engineer, you are someone who has significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionize proprietary machine learning models to solve different problems in Conversational AI.

We are looking for a Senior ML Ops Engineer who will lead the design and implementation of our conversation data pipeline platform that automatically ingests conversation data, labels it, and creates models for subsequent conversation enrichment using our novel conversational NLP approach. You will be joining a team that's developing both the engine that drives the machine learning pipeline as well as the infrastructure to run and scale it.

We provide our engineers an environment in which they can contribute from day one while also providing opportunities for learning and growth. You'll learn how our entire stack works - from data ingestion, model building & training and storage to searching, reporting, building dashboards, and exposing Public APIs all in distributed environments. The work you’ll do directly impacts the experience of our customers.

We are an engineering- and product-focused company. Our engineers take a leading role in designing, architecting, building and testing our product. Engineers at company have a wide impact, from developing new capabilities for our platform to working with customers to see their work be used to solve real-world problems.

**Who you are:**

· 3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring
· 5+ years of industry experience in software engineering roles and development experience in Python, SQL, Go, and/or other programming languages
· Must have 5+ years of experience with a Computer Science degree or related experience. Masters or PhD a plus.
· Experience creating Machine Learning and AI models and NLP experience
· Experience developing and using high performance data processing algorithms for tree, array, matrix, tensor, and string processing
· Experience with Kafka and Solace a plus
· Experience with Airflow a plus
· Experience using relational databases including PostgreSQL
· Experience developing call center and telephony platforms a plus
· Experience in IC, Telecommunications, DNA sequencing, HPC computing, and/or large scale statistical modeling a plus
· Experience with Agile Development methods and Scrum, in particular, a plus
· Desire to Learn and Adapt. We have a lot of projects going on at once, and you'll have to learn to navigate new code and features. You'll constantly be learning new areas and new technologies
· Passion. Our customers are passionate about our projects and we want the same from our engineers. We want you to actively own your work and be excited about your projects
· Experience with Cloud and Containers. You have proficiency in using public cloud services from operators such as AWS, GCE with container orchestrators such as Kubernetes. You have delivered software using integrated CI CD pipelines to a highly performant, available and scalable services cloud
· Experience in DevOps, MLOps and SRE is a plus.