Position: Senior MLOps with AWS
Company: Grid Dynamics
Experience required: 5y
Category: Data Science
English level: upper
Published: 2022-06-01T00:00:00+03:00

**Project description**
Our client operates in different markets with more than 300,000 products, continuously informing its B2B clients (providers) about new products and opportunities through targeted messages through several channels such as emails and calls.
Our client engaged the Grid Dynamics team to develop and evaluate an NBA model that strategically optimizes their channels and communication sequence cadence. At this stage, we are working on models that will be the outcomes of our project. The project aims to develop a targeting algorithm with the following advantages:
Higher response/conversion rates through the strategic optimization of communication sequences
Shorter time to conversion in terms of number of messages or calendar time
Reduced negative outcomes such as unsubscriptions or complaints. 
Of the main goals is to establish stable e2e solution deployment for all markets.  

**Client description**
Our client is an American multinational pharmaceutical company ranked 69th on the 2021 Fortune 500. They develop and produce medicines, vaccines, biological therapies, and animal health products. The company is world-famous for the first smallpox vaccine for commercial use in the U.S. and other blockbuster drugs, including cancer immunotherapy, anti-diabetic medication, and vaccines against chickenpox.

**Details on tech stack**
Mostly AWS stack: S3, ReddShift, Sagemaker, Lambda, Glue, VPC, Event Bridge. Jenkins, terraform, sonarqube

**Requirements to the candidate**
- Senior MLops with 3+ years of experience
- Team leading abilities 
- Proficient in Python.
- Extensive hands on experience on CI/CD: Jenkins, Terraform.
- Hands on experience on AWS: Step Function, Sagemaker, Glue, Lamda, Airflow
- Hands on experience on Software testing and releasing.
- Experience of architecture and git strategy development.
- Good understanding of Machine Learning model development process.
- Experience of People management/TL experience.
- High discipline and good communication skills 

**Current team size**
Full size of planning team is 22 ppl, most part of the team is located in Serbia  Team is planning to grow even more.

**What tasks the candidate will work with?**
Driving MLops team, distributing tasks between team members, planning activities, preparing proposals to the client with architecture improvement, communicating with the stakeholders and release teams on the client's side, deploying code, planning timelines, making builds, testing out step functions, writing glue jobs, monitoring jenkins job, etc.