Senior ML Engineer
Job Description
Senior ML Engineer designs, builds, deploys, and optimizes machine learning models, AI pipelines, predictive systems, and scalable data-driven solutions for business growth.
Responsibilities
- Design scalable machine learning models for production systems.
- Build automated AI pipelines for data processing.
- Optimize model performance, accuracy, and deployment efficiency.
- Collaborate with data scientists and software developers.
- Manage model monitoring, testing, and version control.
- Implement deep learning solutions for business problems.
- Analyze large datasets for predictive business insights.
- Ensure ethical, secure, and reliable AI implementation.
Required Skills
- Strong Python programming and machine learning expertise.
- Experience with TensorFlow, PyTorch, and Scikit-learn.
- Knowledge of MLOps, CI/CD, and cloud deployment.
- Strong understanding of statistics and data preprocessing.
- Experience with SQL, APIs, and big data.
- Excellent problem-solving, communication, and analytical thinking.
Note: Salary depends on experience, skills, location, and is paid in local currency.
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