Senior Machine Learning Engineer
14 godzin temu
At DCG, we understand the significance of skilled professionals in driving business success.
As a company driven by innovation and growth, we're currently seeking a Senior Machine Learning Engineer to join our team.
Job Overview
We're looking for an experienced engineer with a strong background in developing and deploying machine learning systems into production. This role will focus on implementing end-to-end solutions for batch and real-time algorithms, as well as collaborating with data scientists and analysts to create and deploy new product features.
Key Responsibilities
- Implement scalable, efficient automated processes for data analyses, model development, validation, and implementation
- Work closely with data scientists and analysts to develop and deploy predictive models in a production environment
- Collaborate with cross-functional teams to integrate machine learning models into larger-scale applications
- Develop and maintain cloud-native software for ML pipelines
- Contribute to and promote good software engineering practices across the team
Requirements
- University or advanced degree in engineering, computer science, mathematics, or a related field
- 7+ years experience developing and deploying machine learning systems into production
- Experience working with relational SQL and NoSQL databases
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with at least one cloud provider solution (AWS, GCP, Azure) and understanding of serverless code development
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Previous experience developing predictive models in a production environment, MLOps, and model integration into larger-scale applications
- Experience with Machine and Deep Learning libraries such as Scikit-learn, XGBoost, MXNet, TensorFlow, or PyTorch
- Exposure to GenAI and solid understanding of multimodal AI via HuggingFace, Llama, VertexAI, AWS Bedrock, or GPT
- Knowledge of data pipeline and workflow management tools
- Expertise in standard software engineering methodology, e.g., unit testing, test automation, continuous integration, code reviews, design documentation
- Working experience with native ML orchestration systems such as Kubeflow, Step Functions, MLflow, Airflow, TFX
- English level: B2, C1
- Relevant working experience with Docker and Kubernetes is a plus
Benefits
- Private medical care
- Co-financing for the sport card
- Training & learning opportunities
- Constant support of dedicated consultant
- Team-building events organized by DCG
- Employee referral program
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