Senior Machine Learning Engineer

· 4–8 years of experience in Data Science, ML Engineering, Applied ML, or related roles.

· Strong hands-on experience with Python & SQL.

· Strong understanding of machine learning algorithms, model evaluation, feature engineering, and validation.

· Experience converting notebooks into reusable, maintainable, production-quality code.

· Experience with orchestration tools such as Airflow, Kubeflow, Mage, or similar.

· Experience with model lifecycle tools such as MLflow, SageMaker, Azure ML, Vertex AI, or similar.

· Strong understanding of batch inference, model deployment, production ML workflows, and monitoring.

· Experience with Docker, Git, environment management, and CI/CD automation using tools such as GitHub Actions/workflows.

· Experience with cloud platforms such as AWS, Azure, or GCP.

· Familiarity with production ML monitoring concepts such as model/data drift, data quality validation, prediction monitoring, and common failure modes in deployed ML systems.

· Familiarity with NLP fundamentals such as text preprocessing, tokenization, lemmatization, stemming, text representation, and semantic embeddings for search, similarity, classification, and retrieval use cases.

· Ability to analyze model performance across segments, tenants, time periods, and business outcomes.

Unsure if you meet all the job requirements but passionate about the role? Apply anyway! Syncron values diversity and welcomes all Candidates, even those with non-traditional backgrounds. We believe in transferable skills and a shared passion for success!

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