Middle ML Engineer (1818) Offline

About Our Customer:

You will work with the 6th-largest privately owned organization in the United States. The сustomer is one of the "Big Four" accounting organizations and the largest professional services network in the world by revenue and number of professionals. The company provides audit, tax, consulting, enterprise risk and financial advisory services with more than 263,900 professionals globally.

About Our Project:

The platform creates exponential value for clients combining technology and business transformation on a global scale. Our teams will work within the platform and will create resources that will be responsible for:

requesting, tracking, and collecting data from our clients in a more efficient and automated manner

slashing the time required to cleanse, validate, and prepare data (for completeness and accuracy) for downstream analysis

combining professional experience and an immense collection of content with emerging technologies to discover patterns and anomalies in client data to automatically flag issues, identify opportunities, and assist in planning for upcoming needs

This project will involve managing the platform pieces in Azure and architecting the functionality of the platform.

Only the latest technologies and modern architecture approaches will be used:

- Angular 12, TypeScript, GraphQL;

- Mongo;

- a lot of Azure SaaS/PaaS;

- Docker, K8s;

- Azure ADLS Gen2, Informatica, Databricks, Spark, Levy, Python, Scala, - Machine Learning.

Project state: live in production, active feature development

Requirements:

- Minimum 3 years of experience in Machine Learning, NLP field preferred

- Experience of running Machine Learning systems in production, MLOps

- Good Python programming skills

- Experience with cloud services, Azure preferred, especially Azure ML

- Good verbal and written communication skills

- Ability to work with distributed systems and multi-process environment

Nice to have:

- Bachelor or Master’s degree in computer science, computer engineering, or a related field

- Big data experience: Spark, Databricks, ADLS, Scala

- C#

- MongoDB

- Knowledge of microservice architecture

English level: Intermediate+

Responsibilities:

- Design and implement ML system

- Focus on usability, performance, scale, and extensibility

- Work with large amounts of data

- Optimize the application for maximum speed and scalability

- Work both independently and in close collaboration with others on the team

Advantages of Working with Exadel:

- You can build your expertise with our Sales Support team, who provide assistance with existing and potential projects

- You can join any Exadel Community or create your own to communicate with like-minded colleagues

- You can participate in continuing education as a mentor or speaker

- You can take part in internal and external meetups as a speaker or listener. We support you in broadening your horizons and encourage knowledge sharing for all of our employees

- You can learn English with the support of native speakers

- You can take part in cultural, sporting, charity, and entertainment events

- Working at Exadel means always upgrading your skills and proficiency, so we provide plenty of opportunities for professional development. If you’re looking for a challenge that will lead you to the next level of your career, you’ve found the right place

- We work hard to ensure honest and open relations between employees and leadership, so our offices are friendly environment