Senior machine learning engineer
2 weeks ago
Type: Full-Time
Experience Level: 4-5 years of experience in machine learning and AI engineering.
About the Role
We are looking for a Senior Machine Learning Engineer who will design, develop, and
deploy machine learning models to solve real-world problems. You will work on cutting-edge
projects that use data to enhance user experiences, build AI-driven features, and optimize
internal processes.
Key Responsibilities
● Design, build, and deploy machine learning models for various use cases.
● Collaborate with data scientists, engineers, and product teams to implement
AI-driven features.
● Build scalable data pipelines to train, test, and evaluate ML models.
● Optimize machine learning models for performance, accuracy, and scalability.
● Stay updated with the latest research and trends in machine learning and AI.
● Ensure robust testing, monitoring, and maintenance of models in production.
● Mentor junior engineers and contribute to the overall technical direction of the team.
Qualifications
● 4-5 years of experience in machine learning or AI engineering.
● Strong understanding of machine learning algorithms and statistical techniques.
● Proficiency with Python and machine learning libraries (Tensor Flow, Py Torch,
Scikit-learn).
● Experience with large-scale data processing frameworks (e.g., Spark, Hadoop).
● Knowledge of cloud platforms (AWS, GCP, Azure) and deploying ML models in
production.
● Experience with version control, experiment tracking, and CI/CD for ML models.
● Strong problem-solving skills and attention to detail.
● Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
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