Machine Learning Engineers play a vital role in developing AI models by organizing the model development process and working closely with data scientists to ensure optimal performance. Their key duties include transforming data science prototypes into functional models, training models, and aligning model development with business objectives.
A Machine Learning Engineer works on developing ML and AI-based models for optimal performance. Their role involves organizing and overseeing the model development process, working closely with data scientists to ensure the availability of labeled data necessary for training machine learning algorithms.
Key duties include understanding theoretical data science models and scaling them to production, building programs for machine control, and developing algorithms that enable machines to recognize data patterns to make predictions.
The following are some core tasks associated with the role:
– Researching, designing, and framing machine learning systems.
– Transforming data science prototypes into functional models.
– Ensuring data quality through cleaning and verification.
– Conducting model tests and experiments.
– Selecting suitable machine learning algorithms.
– Training models and tuning hyperparameters.
– Performing statistical analysis and fine-tuning results.
– Aligning model development with business objectives.
– Selecting appropriate training data sets.
Companies like Cogito provide specialized services for hiring remote machine learning engineers and sourcing training data sets for machine learning and AI model development.
