Position: ML Engineer
Job ID:		41126

	
Responsibilities:
· Work at the intersection of data engineering and data science to build scalable pipelines and production ML models
· Partner with product managers, engineers, and stakeholders to turn analytics into reliable, business-ready solutions
· Gain hands-on experience with semi- and unstructured data, including LLMs and NLP
· Build and maintain ETL/ELT data pipelines for analytics and ML use cases
· Develop, test, and deploy ML models with reproducible training and CI/CD practices
· Apply MLOps fundamentals: model packaging, deployment, and monitoring
· Support data modeling and feature store development to ensure data quality
· Deliver ML-driven data products 
· Evaluate performance, scalability, and cloud cost efficiency
· Collaborate with stakeholders to define requirements and success metrics
Qualifications:

· 3+ years of experience in data engineering, data science, or ML 
· Strong skills in Python and SQL
· Working knowledge of testing practices 
· Experience with data transformation tools 
· Familiarity with ML frameworks 
· Interest in or exposure to MLOps 
· Interest in NLP and text-based ML techniques

-->SALARY:  130-140k 
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