Machine Learning Engineer
hace 1 mes
We are seeking a highly skilled Data Scientist to join our team at Centric Software. As a key member of our Data Science team, you will be responsible for ensuring the smooth operation of our current data science pipelines and developing new machine learning pipelines and algorithms.
Key Responsibilities- Develop and Implement Machine Learning Models: Create datasets from our massive data lake of products and social media data, selecting the most relevant items for your use case and ensuring data quality.
- Train, Deploy, and Operate Machine Learning Models: Hands-on train, deploy, productionize, and operate machine learning models and pipelines at scale, including both batch and real-time use cases.
- Contribute to Infrastructure Development: Contribute to expanding and improving the infrastructure to support all stages of the machine learning model lifecycle, including feature engineering, feature store, model training, testing, monitoring, and deployment in a production environment.
- Process Improvement: Proactively identify and implement internal process improvements, including automating manual work, optimizing data delivery, and re-designing infrastructure for greater scalability.
- Stay Up-to-Date with Industry Trends: Stay current with the latest industry trends and technologies to ensure our ML capabilities remain competitive and cutting-edge.
- Onboard and Enable Data Scientists: Onboard and enable Data Scientists with different levels of engineering expertise.
- 3+ Years of Experience: 3+ years of experience working as a software engineer.
- Education: Bachelor's degree in Computer Science, Engineering, or related field.
- Python Development: 3+ years of experience as a production-level Python developer and deep learning frameworks: TensorFlow, Keras, or PyTorch.
- Machine Learning and Python Libraries: Experience with machine learning and Python data libraries like scikit-learn, pandas, or NumPy.
- Computer Vision: Experience with computer vision.
- SQL Databases: Experience with SQL databases, preferably PostgreSQL.
- Django ORM: Django ORM.
- Linux Shell Command Line: Linux shell command line.
- Version Control: Version control in a collaborative environment with Git.
- Strong Communication Skills: Strong communication skills (written and oral) in English.
- Image Processing Libraries: Familiarity with image processing libraries like OpenCV or Pillow.
- MLOps Frameworks: Familiarity with MLOps frameworks like MLFlow.
- Docker: Docker.
- NLP Processing Libraries: Familiarity with NLP processing libraries such as Spacy or NLTK.
- Asynchronous Processes: Familiarity with asynchronous processes with RabbitMQ and Celery.
- System Monitoring: Familiarity with system monitoring with InfluxDB and Grafana.
- Cloud-Based Infrastructures: Experience working with cloud-based infrastructures (AWS, Azure, etc.).
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