Machine Learning Engineer

**About Corcentric**:
**About the Business Innovation Lab***:
We put the customer at the heart of our organization. Every day our proprietary technology platform enables organizations to run smoother, spend smarter, and increase their cash flow. We involve our early adopter customers in most of our innovation projects to ensure that we provide business value to them and are committed to building data-centric solutions as a strategic imperative. We recognize that data and information are critical business assets and value inquisitive individuals that can drive constant innovation through their usage. This commitment is embodied by our Business Innovation Lab (BIL). The team is a dynamic group of innovators and data experts, responsible for ideating, developing, and delivering cutting-edge data-centric solutions. With great freedom to innovate, this team works on problems that span our entire organization and plays a major role in shaping our agenda. This role will be part of the Business Innovation Lab (BIL).

**Position Summary**:
We're seeking a Machine Learning Engineer ready to tackle complex B2B commerce challenges through innovative data solutions. Within our BIL team, you'll have the opportunity to implement cutting-edge algorithms and experiment with new AI techniques on our Intelligent Platform.

**Responsibilities**:

- Analyze structured data and build ML models to perform classifications and predictions
- Analyze unstructured data with Natural Language Processing.
- Implement the latest deep learning techniques, including transformers and Large Language Models, to perform language comprehension, data extraction and classification in several languages.
- Implement generative AI with agents to perform business tasks based on objectives
- Work on conversational user interfaces (chatbots), cognitive search, and guided process flows.
- Support the development of frameworks and architectures for quickly deploying and maintaining data-driven products and services that are part of the Corcentric Intelligent Platform.
- Design and implement feedback loop protocols for continual model updates and improvements.
- Identify, ingest, and enrich structured and unstructured data into datasets for analysis.
- Write clean, modular code to implement the end-to-end data pipeline inclusive of data extraction, data wrangling, data cleaning, feature engineering, model fitting, parameter tuning, and deployment.
- Label and prepare data for analysis, review data preparation and ETL code, and provide critical feedback on issues of data integrity.
- Work on a portfolio of projects and establish a track record of successful results.
- Collaborate with BIL teammates to ideate, design, and prototype solutions to real customer problems.
- Coordinate with the product and engineering teams to translate prototypes into technical solutions.
- Clearly articulate ideas and results to managers, key decision makers, and customers.
- Maintain up-to-date knowledge of industry trends, new techniques, analytic best practices, and emerging technologies.
Perform and publish or present cutting edge research.
- Contribute to Corcentric’s patent portfolio.

**Requirements**:

- Graduate degree or PhD in Computer Science, data science or Engineering or equivalent experience
- 5+ years of experience with Python framework
- Proficient with ML such as regression, random forest, XGBoost
- Confident with automated testing and high release frequency.
- Experience with visualization software (Jupyter, Streamlit, Superset, PowerBI)
- Possess the ability to work both independently and as part of a cross-functional team
- Highly inquisitive, motivated, self-driven, and an innovative thinker

**Preferred Experience**:

- Prior experience with ML, AI in an enterprise setting
- Broad understanding of databases (SQL, NoSQL, Elasticsearch, Redis, graph db)
- Prior experience with microservices (Docker, FastAPI/Flask)
- Prior experience with AWS/Azure/Google cloud
- Possess a basic understanding of MLOps
- Proficiency in English and French