Senior Machine Learning

As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for:

SENIOR MACHINE LEARNING

Responsibilities:

• Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, model retraining, model deployment and metadata tracking
• Identify new opportunities to improve business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset
• Work with data scientists and analysts to create and deploy new product features on the ecommerce website, in-store portals and mobile app
• Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation
• Write efficient and scalable software to ship products in an iterative, continual-release environment
• Contribute to and promote good software engineering practices across the team and build cloud native software for ML pipelines
• Contribute to and re-use community best practices
• Embody the values and passions with empathy to engage with colleagues from multiple backgrounds

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 a variety of relational SQL and NoSQL databases
• Experience working with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with at least one cloud provider solution (AWS, GCP, Azure) and understanding of severless 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
• Exposition 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 big plus

Offer:

• 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