Senior ML Engineer (вакансія неактивна)

Intetics Inc. is a leading American technology company providing custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for Senior ML Engineer to enrich its team with a skilled professional.

The client would like to automate the process of filling job posts on numerous job portals in the DACH region by using the Xing profile and CV data of the users.

For the time being, the applicant is filling out their CV information on the Xing portal and can see available job posts (suggested jobs). New Work SE would like to automate the filling of the job application on behalf of the applicant on job portals of employers selected by the applicant. Therefore, New Work SE is looking for a partner who will design the workflow for the automated filling of the job post applications on the employer portals.

This project will have the following requirements:

1. The main goal is to process 3000 applications per day (or 780 000 applications per year). For the Pilot phase, the plan is to automate the application process for 100-300 job portals.

2. The processing of the applicant’s personal data should be GDPR-compliant.

3. Job applications and CVs will be in German, so the processing team should have the ability to process the information in this language, including the synonyms related to different countries. Our assumption is — language translation services will cover all the needs.

4. The duration of the project: depending on the Pilot phase results the project can be prolonged to a year or more.

5. Both the dashboard and a tool to monitor, analyze, and manage the project/team should be proposed in the process flow.

6. The applicants shouldn’t notice there is forwarding to the employers’ job portal.

On the first phase, tune and train LLM models for project needs, implement tools utilizing these models, or expose them via API.

On the later phases, developing, training, and optimizing machine learning models to address specific project tasks, implementing and fine-tuning algorithms, leveraging classic computer vision algorithms like edge detection, feature extraction, and image segmentation for image processing tasks.

Requirements

1. Experience with Python, MLflow, MetaFlow or other MLOps packages, and cloud deployment.

2. Experience with pyTorch and OpenCV.

3. Experience with Healthcare domain.

4. Experience with classical ML algorithms.

5. Experience with classic Computer Vision algorithms and image processing (without deep learning and GPU).

6. Experience with data for models training, from the stage of requirements definition together with the client till datasets forming.

7. Experience with using public datasets for models training.

8. Experience of overclocking the architecture of a neural network trained with the pyTorch framework using TensorRT.

Would be a great plus:

1. Experience with modern NLP models, architectures and tuning methods, prompting techniques, and other models recognizing and differentiating specific terms in texts is a plus

2. Experience in solving problems of object recognition and tracking.

3. Knowledge and interest in modern SOTA tasks.

4. Experience in studying scientific publications and deploying solutions based on them.

5. Experience with 3D data.

6. Experience with GDPR-compliant applications.