Principal MLOps Engineer leading design and optimization of machine learning infrastructure at Wood Mackenzie. Collaborating with data science and engineering teams to ensure robust automated ML lifecycles.
About the role
- Machine Learning Specialist developing machine learning models to address complex challenges at Datos y BI in Santo Domingo. Collaborating with teams to deliver intelligent solutions through advanced techniques.
Responsibilities
- Research, design, and develop machine learning models to solve specific problems.
- Preprocess and clean data to ensure its quality and applicability in models.
- Perform exploratory data analysis to identify relevant patterns, trends, and relationships.
- Select and apply suitable machine learning algorithms for specific datasets and objectives.
- Train and fine-tune models using techniques like cross-validation and hyperparameter optimization.
- Evaluate and compare the performance of models using relevant metrics.
- Implement machine learning solutions in production environments.
- Stay updated on advances and trends in the field of machine learning and artificial intelligence.
- Collaborate with other teams, such as data scientists, software engineers, and domain experts, to define project requirements and goals.
- Clearly and concisely document methods, results, and conclusions of projects.
Requirements
- Minimum 2 years of experience in machine learning
- Proficiency in Python and R
- Experience with data preprocessing and analysis
- Knowledge of machine learning algorithms
- Ability to work collaboratively in a team environment
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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