Senior Machine Learning Engineer Job

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 (TensorFlow, PyTorch, 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.
Bachelors or Masters degree in Computer Science, Data Science, or a related field

Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.