Senior NLP/ML Engineer

Tech Stack
  • Machine Learning
  • Data Science
  • Huggins Face
  • Python
  • Pandas
  • ScikitLearn
  • TensorFlow
  • PyTorch
  • Data Modeling
Job Location

Remote (Poland and Hungary)

ABOUT THE COMPANY

Work at Exadel - Who We Are: Since 1998, Exadel has been engineering its own software products and custom software for clients of all sizes. Headquartered in Walnut Creek, California, Exadel currently has 2500+ employees in development centers across Americas, Europe, and Asia. Our people drive Exadel’s success, and they are at the core of our values, so Exadel is a people-first cultured company. About Our Customer: The Сustomer is a leading provider of vehicle lifecycle solutions, enabling the companies that build, insure, repair, and replace vehicles to power the next generation of transportation. The company delivers advanced mobile, artificial intelligence, and connected car technologies through its platform, connecting a vibrant network of 350+ insurance companies, 24,000+ repair facilities, OEMs, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective set of solutions inform decision-making, enhance productivity, and help clients deliver faster and better experiences for end consumers.  The сustomer’s company was ranked #17 in the Top 100 Digital Companies in Chicago in 2020 by Built in Chicago, an online community for digital technology entrepreneurs in Chicago, and was named one of Forbes best mid-sized companies to work for in 2019 – an important accolade and retention tool for the 2,600+ full-time company employees (alongside 350 dedicated contractors). The сompany’s corporate headquarters is in downtown Chicago in the historic Merchandise Mart - a certified LEED (Leadership in Energy and Environmental Design) building that is also known to be a technology hub within the broader metro.

ABOUT the job

About Our Project:
Safekeep is a business unit that focuses on automating insurance claim subrogation for auto, workers compensation, property and general liability claims.
SafeKeep leverages data analysis and AI/Machine learning packaged into a smart workflow engine to :
Identify claims with subrogation potential
Minimize the impact of subrogation team turnover
Decrease the administrative costs of subrogation
Simplify and optimize cross-carrier interaction
UI for the smart workflow engine is built specifically for subrogation business processes, bringing together data for decision-making related to the recovery process, and the tracking thereof. This includes demand packages, settlements and payments.

SafeKeep provides a digital platform for carrier-to-carrier collaboration to standardize and streamline the interaction.

In 2020 alone, SafeKeep won the following awards:
Innovation Championship by Zurich - SafeKeep won 1st place out of 1300 solutions from around the world
Innovation in Insurance awards - Safekeep won the Global Silver Award out of 359 innovations from 45 countries. It was also voted one of "the 3 best innovations at a global level" in InsurTech
Plug and Play Insurance Partners voted Safekeep as the #1 InsurTech

ABOUT the candidate

Welcome bonus $4000

We are looking for a Senior NLP/ML Engineer to join our team. As a member of the Engineering team, you will work closely with software engineers and other data scientists as a key player in designing and building state-of-the-art ML and DL solutions to support the company’s core products suite.

Responsibilities will include, but not be limited to:

The Senior NLP/ML Engineer will be in charge of building and maintaining AI models for insurance decision systems. As such, they should have a commanding knowledge of state-of-the-art AI modeling (linear models, GBM and XGB, neural nets, and their training methods) to build effective models in a fast-paced environment and be familiar with the fundamentals of modeling (probability, bias-variance trade-offs, parameter estimation, and visualization tools, feature importance) for diagnosis and improvement of model pipelines.

Design, develop, and maintain the automation of frameworks for iterative machine learning model development, training, and inference
Provide teams with operational support and develop solutions that provide monitoring, logging, and alerting capabilities
Automate data flows and reporting pipelines
Manage CI/CD infrastructure, including patching and security updates on the infrastructure
Develop and maintain build scripts to automate deployments for multiple environments including dev/test, QA, UAT, and production

Requirements

Requirements:
Experience performing Machine Learning/ Data Scientist duties (e.g. ML algorithm selection, feature engineering, model training, hyperparameter tuning, distributed model training, supervised and unsupervised learning implementation, building model pipelines, using Machine Learning tools/libraries/frameworks)
Experience with language modeling (e.g., transformers, Hugging Face, fastText, text cleaning)
Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats)
Advanced knowledge of SQL/Non-relational, Data Modeling, and Data Warehousing
Proficiency in both written and verbal communication, sufficient for success in a remote and largely asynchronous work environment
Demonstrated capacity to clearly and concisely communicate complex technical, architectural, and/or organizational problems and propose thorough iterative solutions
Experience with performance and optimization problems, and a demonstrated ability to both diagnose and prevent these problems
Experience owning a feature from concept to production, including proposal, discussion and execution
Self-motivated and self-managed with strong organizational skills

Requirements:
Experience performing Machine Learning/ Data Scientist duties (e.g. ML algorithm selection, feature engineering, model training, hyperparameter tuning, distributed model training, supervised and unsupervised learning implementation, building model pipelines, using Machine Learning tools/libraries/frameworks)
Experience with language modeling (e.g., transformers, Hugging Face, fastText, text cleaning)
Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats)
Advanced knowledge of SQL/Non-relational, Data Modeling, and Data Warehousing
Proficiency in both written and verbal communication, sufficient for success in a remote and largely asynchronous work environment
Demonstrated capacity to clearly and concisely communicate complex technical, architectural, and/or organizational problems and propose thorough iterative solutions
Experience with performance and optimization problems, and a demonstrated ability to both diagnose and prevent these problems
Experience owning a feature from concept to production, including proposal, discussion and execution
Self-motivated and self-managed with strong organizational skills

Nice To Have Skills
  • MLOps
  • AWS
  • AWS Redshift
  • AWS S3/SQS
  • EMR
  • AWS Glue
  • Apache Kafka
  • Spark Streaming
Benefits

Advantages of Working with Exadel:
You can build your expertise with our Client Engagement 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 will not only be emotionally but also financially rewarded for mentoring
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 environments

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CONTRACT TERMS

This is a full-time job opportunity, where you’d be working on projects lasting 12 months on average.  At the end of the period, you will be able to continue being a Pro Consultant by getting assigned to another exciting project. The continuity of your permanent employment with all social and additional benefits included is guaranteed by Motion Software.

WHY MOTION SOFTWARE?

SEE THE BENEFITS

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