Senior Machine Learning Engineer
2 weeks ago
**Position summary**:
ML engineers typically work within a data science team, collaborating with data scientists, data analysts, IT experts, DevOps experts, software developers, and data engineers.
**Purpose of the Role**:
Machine learning engineer (ML engineer) is a programmer who designs and builds software that can automate artificial intelligence and machine learning (AI/ML) models.
ML engineers build large-scale systems that take in massive data sets and use them to train algorithms that can learn cognitive tasks and generate useful insights and predictions.
Machine learning engineers manage the entire data science pipeline, including sourcing and preparing data, building, training models, and deploying models to production.
**Key Responsibilities**:
- Consulting with managers to determine and refine machine learning objectives
- Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models
- To research, experiment with, and implement suitable ML algorithms and tools
- Ensuring that algorithms generate accurate user recommendations
- Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions
- Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks
- Developing ML algorithms to analyze huge volumes of historical data to make predictions
- Running tests, performing statistical analysis, and interpreting test results
- To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by their success probability
- To develop Machine Learning apps according to customer/client requirements
- To explore and visualize data for better understanding and identify differences in data distribution that could impact model performance when deploying it in real-world scenarios
- Documenting machine learning processes
- Keeping abreast of developments in machine learning
**Qualifications and Experience Levels**:
- Minimum 5+ experience in related field
- Bachelor of computer science filed and professional machine learning qualification
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