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Senior Machine Learning Engineer
Skills
Computer ScienceArtificial IntelligenceData ScienceHTMLMachine LearningPattern RecognitionProbability
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree in computer science statistics economics or a related field
- 5+ years of experience in a related discipline
- Proficiency with machine learning models including classification decision trees support vector machines and deep learning
- Strong understanding of probability statistics and algorithms
- Advanced programming skills in Python C/C++ R and Java
- Experience with data science libraries such as scikit-learn Pandas NumPy and kernlab
- Experience with at least one major ML framework such as TensorFlow or PyTorch
- Knowledge of HTML CSS and JavaScript
- Experience in DevOps or MLOps
- Understanding of data structures data modeling and software architecture
- Ability to run experiments analyze results and communicate findings to technical and business audiences
- Ability to collaborate across multiple teams and stakeholders
- Experience managing large data science projects and teams
Nice to have
- Agile experience
- ML specialization
- AI specialization
- Deep learning focus
- Text analytics
- Image recognition
- Graph analysis
Day to day
- Implement machine learning standards processes and best practices across enterprise projects
- Collaborate with stakeholders data scientists data engineers and product teams to shape scalable ML solutions
- Translate complex business and technical needs into well scoped machine learning applications and lead delivery
- Create evaluation metrics extend libraries and guide team members while driving project execution with urgency