Position: MLOps for global product (audit and assurance company)
Company: Deloitte
Category: DevOps
Experience required: 2y
English level: upper
Published: 2022-10-01T00:00:00+03:00

Deloitte is looking for professional engineers to join our new project: creation of a multifunctional platform to assist Deloitte consultants across variety of functions with methodologies, tools, references, and resources.

The Deloitte Consulting Innovation and Platforms is the leading-edge product development facility for Deloitte Consulting; focused on creating cloud-based software and advanced analytics products. The portfolio spans multiple software technologies including wearables, machine learning and advanced analytics, social/mobile, and other leading technologies.
Our strategy is to augment our leading services practice with software and analytics products that strike at the heart of our clients' business problems, providing them with differentiated products. To do this, our I&P is built up of multiple teams including user experience/user interface designers, software architects and engineers, infrastructure and operations staff, testers, and developers. All of which follow our software quality assurance methods and standards.  Our dedicated space is equipped with Smart Board technology and interactive team environments along with state-of-the-art video conferencing facilities.
We are looking for people who are passionate about technology and innovation and can develop ideas into products that are relevant to solve business problems.

**Required Skills**

•	Bachelor’s Degree is required
•	2 - 7 years of industry experience
•	Experience/Knowledge on Machine Learning 
•	Proficient in Python
•	Experience in building & integrating cloud native applications using AWS, GCP or Azure
•	Experience in data/feature engineering, EDA, model training & deployment using Jupyter/Jupyterlab notebook
•	Experience in working with ML libraries such as SkLearn, Tensorflow, PyTorch or other similar libraries
•	Experience working with ML platforms such as Databricks, Sagemaker, Dataiku or other similar platforms
•	Experience containerizing apps using Docker packaging format
•	Experience in deployment of apps in Kubernetes cluster especially on cloud provider with expertise in scaling varied types of workloads
•	Experience in CI/CD using Concourse/ArgoCD/Jenkins or similar tool chains 
•	Strong in analytical, design and problem-solving skills, with a strong desire to create new things, dive in wherever there is a need, and learn new things
•	Strong team player with good communication skills
•	Experience of working in Agile

**Required technical experience with:**

•	Docker
•	CloudFormation
•	CodePipeline
•	CodeBuild
•	Jenkins
•	Groovy
•	Packer
•	Bash
•	Git
•	Linux and Windows SysAdmin
•	Networking
•	AWS SDK (Python – Boto3)
•	Kubeflow
•	DVC
•	Pachyderm
•	Serving ML pipelines experience

Nice to have:

•	AWS CDK for Python
•	AWS Lambda (Python)
•	Postgres
•	Flask


*Python skills for this role would not be primary but definitely encouraged (as the Infra As Code is done in Python CDK).