Mid 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:

MACHINE LEARNING ENGINEER

Responsibilities:

• Work with data scientists and analysts to create and deploy new models and ML systems
• Implement end-to-end solutions across the full breadth of ML model development lifecycle. The specific role includes working hand in hand with the scientists from the point of data exploration for model development to the point of building features, ML pipelines and deploying them in production. You will have an opportunity to work on both batch and real time models. The role also involves operational support
• Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation
• Write efficient and scalable software to ship products in an iterative, continualrelease environment
• Write optimized data pipelines to support machine learning models
• 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

Requirements:

• University or advanced degree in engineering, computer science, mathematics or a related field
• 3+ years' experience developing and deploying machine learning systems into production
• Experience working with big data tools: Spark, Hadoop, Kafka, etc.
• Experience with at least one cloud provider solution and understanding of serverless code development (GCP experience preferred)
• Efficiency with object-oriented/object function scripting languages, Python required
• Efficiency with Python data-handling libraries like Pandas or Pyspark.
• Efficiency in SQL for data consumption and transformation.
• Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, continuous deployment, code reviews, design documentation
• Working experience with native ML orchestration systems such as Kubeflow, Vertex AI Pipelines, Airflow, TFX
• English level: B2, C1

Nice to have:

• Relevant working experience with Docker and Kubernetes
• SparkSQL, BigQuery SQL dialects knowledge

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