Machine Learning Engineer
Core
Building end-to-end machine learning solutions from idea to production for large organizations across diverse sectors, acting as a hands-on expert who also advises clients on the best approach to realize sustainable business value.
Role type
Machine Learning Engineer (Consultancy)
Builds
Scalable production ML models, model interfaces, and monitoring systems for clients.
Domain
Data Science, Machine Learning, Cloud Engineering, MLOps
Deliverable
production ML models
Required skills
Python, cloud environments (AWS, GCP, Azure), deploying and scaling ML models, client advisory, SQL, Scala, Kotlin
Preferred skills
Deep learning, causal inference, reinforcement learning, open source innovation
Technologies
Python, Airflow, Spark, Kafka, Docker, TensorFlow, PyTorch, Kubernetes, Terraform
Responsibilities
Designing and implementing full-stack ML software projects, deploying models to production, monitoring model performance, advising clients on ML strategy, collaborating in multidisciplinary teams
Seniority
Mid-to-Senior, hands-on IC
