Machine Learning Engineer Job Description
The Machine Learning Engineer will play a key role in developing and implementing advanced analytical models and algorithms to drive business intelligence and improve decision-making. You will collaborate with data scientists, software engineers, and other stakeholders to design, develop, and deploy machine learning models in production environments.
Responsibilities
- Develop and implement machine learning models and algorithms
- Collect, preprocess, and analyze large datasets
- Work closely with cross-functional teams to understand business requirements
- Create data pipelines and infrastructure for model training and deployment
- Evaluate and optimize model performance
- Stay up to date with the latest advancements in machine learning and data science
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- Strong knowledge of machine learning algorithms and techniques
- Proficiency in programming languages such as Python, R, or Java
- Experience with data preprocessing, feature engineering, and model evaluation
- Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)
- Experience with big data processing tools (e.g., Hadoop, Spark) is a plus
- Excellent problem-solving and analytical skills
- Strong communication and collaboration skills
Skills
- Machine Learning
- Python
- Data Analysis
- Data Preprocessing
- Model Evaluation
- Deep Learning
- Natural Language Processing
- Big Data Processing
- Programming
- Problem-solving