Senior Machine Learning Engineer Position
\
As a Senior Machine Learning Engineer, you will be responsible for leading the end-to-end ML lifecycle, from data preparation and model evaluation to deployment and monitoring.
\
Key Responsibilities:
\
* Develop and implement machine learning models using Python and popular libraries such as TensorFlow, PyTorch, and scikit-learn.
* Collaborate with cross-functional teams to integrate ML models into production environments.
* Design and implement data pipelines to prepare data for model training and evaluation.
* Perform thorough testing and validation of ML models to ensure accuracy and reliability.
\
Requirements:
\
* 5+ years of experience in machine learning engineering, data science, or applied machine learning roles.
* Strong proficiency in Python and familiarity with popular ML libraries.
* Solid understanding of computer science fundamentals, including algorithms, data structures, and software design.
* Experience with ML Ops tools and cloud platforms such as AWS SageMaker, GCP Vertex AI, and MLflow.
* Proven track record of deploying ML models into production environments.
* Excellent problem-solving, communication, and collaboration skills.
\
Desirable Qualifications:
\
* Experience with large language models (LLMs), deep learning, or NLP systems.
* Familiarity with big data technologies such as Apache Spark and Hadoop.