Junior Machine Learning Engineer
Entry-level Machine Learning Engineer specialized in building, optimizing, and deploying machine learning models to production. Works under supervision to establish robust ML pipelines, model serving systems, and ML infrastructure, combining ML engineering expertise with software engineering practices.
Expected tasks
- Design and train machine learning models
- Prepare, clean and structure training datasets
- Deploy models to production and monitor performance
- Tune hyperparameters and model architecture
- Document experiments and share results
- Collaborate with product teams to identify AI use cases
- Ensure model fairness, safety and compliance
Required skills
Knowledge
Descriptive StatisticsInferential StatisticsProbability TheoryLinear AlgebraCalculusBayesian StatisticsInformation TheoryReinforcement LearningDeep Learning Fundamentals
Hard skills
PythonSQLScikit-learnXGBoostLightGBMPandasNumPySciPyBash/ShellGoPyTorchTensorFlowKerasMongoDB
Soft skills
Critical ThinkingProblem SolvingAttention to DetailLogical ReasoningCommunication
Go further with Traject
Traject lets you collect precise data on the tasks and skills the market actually requires for this role. You get a compatibility score that measures the alignment between your profile and this position, and an AI resilience score that gauges exposure to automation. Because even when a job as a whole isn't automatable yet, some of its tasks are, and that's exactly where you need to position yourself.