Senior Machine Learning Engineer Job Description
As a Senior Machine Learning Engineer, you will play a key role in developing and deploying production-grade machine learning models. You will be responsible for analyzing large datasets, designing and implementing ML algorithms, and evaluating model performance. Additionally, you will collaborate with data scientists, software engineers, and other stakeholders to drive innovation and deliver impactful solutions.
Responsibilities
- Designing and implementing machine learning models and algorithms
- Analyzing large datasets and identifying relevant features
- Developing and deploying production-grade ML models
- Evaluating and improving model performance
- Collaborating with cross-functional teams to understand business requirements
- Researching and implementing state-of-the-art ML techniques
- Mentoring and providing guidance to junior team members
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field
- Proven experience as a Machine Learning Engineer or similar role
- Strong understanding of machine learning algorithms and techniques
- Proficiency in programming languages such as Python or R
- Experience with machine learning libraries/frameworks (e.g., TensorFlow, PyTorch)
- Experience with SQL and working with large datasets
- Solid understanding of software engineering principles and best practices
- Ability to work independently and collaboratively in a fast-paced environment
- Excellent problem-solving and analytical skills
- Strong communication and presentation skills
Skills
- Machine learning
- Deep learning
- Python
- R
- TensorFlow
- PyTorch
- SQL
- Data analysis
- Statistical modeling
- Problem-solving