
Senior Machine Learning Engineer Lead
1 day ago
Job Title: Senior Machine Learning Engineer Lead
About the Role
This is a senior-level position responsible for leading the development and deployment of machine learning models to drive business outcomes. The ideal candidate will have a strong background in data science, machine learning, and software engineering.
Key Responsibilities
Design, develop, and deploy machine learning models to solve complex business problems.
Perform data exploration, cleaning, and preprocessing to prepare datasets for modeling.
Conduct feature engineering to extract meaningful features from raw data.
Implement and evaluate machine learning algorithms and techniques.
Analyze model performance and optimize models for accuracy, efficiency, and scalability.
Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Requirements
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
5+ years of experience in data science, machine learning, and/or MLOps.
Proficiency in programming languages such as Python and experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
Experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, DVC).
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
Strong understanding of data engineering principles and experience with ETL processes.
Excellent problem-solving skills and the ability to work independently and as part of a team.
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