Senior Machine Learning Engineer
4 semanas atrás
We're looking for a Senior Machine Learning Engineer to develop and scale data-driven systems that power intelligent products and services. You'll play a key role in building robust ML infrastructure and delivering production-ready models that drive real business impact.
Tech Stack You'll Work With:
Python, Scikit-learn, TensorFlow, PyTorch, Spark, Airflow, MLFlow, AWS/GCP, Docker, Kubernetes
What You'll Do:
Design and deploy scalable machine learning pipelines for training, evaluation, and inference
Partner with data scientists and engineers to bring ML prototypes into production
Implement MLOps best practices for versioning, testing, and deployment
Optimize models for speed, accuracy, and performance at scale
Build tools for monitoring and maintaining model performance over time
Collaborate across teams to identify ML opportunities and translate business needs into model solutions
What We're Looking For:
5+ years of experience in machine learning or data engineering
Proficiency in Python and experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch)
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and ML infrastructure
Strong understanding of data structures, algorithms, and statistical modeling
Familiarity with MLOps tools and frameworks (MLFlow, Airflow, Kubeflow, etc.)
Bonus: Experience with time series, recommendation systems, or deep learning architectures
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