Machine Learning Engineer
Role details
Job location
Tech stack
Job description
As a Machine Learning Engineer at Alohi, you will play a crucial role in developing and deploying machine learning models and algorithms for our applications that serve millions of users worldwide. You will have the opportunity to collaborate with cross-functional teams to design, build, and optimize machine learning models. You will work closely with software engineers, and product managers to understand requirements and translate them into efficient and scalable solutions. Additionally, you will be responsible for evaluating and selecting suitable machine-learning techniques and algorithms to solve complex business problems.
- Design and implement machine learning models and algorithms.
- Collaborate with cross-functional teams to gather requirements and understand business needs.
- Collect, preprocess, and analyze large datasets to generate insights.
- Apply statistical techniques and data visualization to interpret model outputs.
- Optimize and fine-tune machine learning models for better performance.
- Develop and maintain documentation for machine learning models and algorithms.
- Stay updated with the latest advancements in machine learning and artificial intelligence.
Requirements
- Bachelor's degree in computer science, data science, or a related field.
- Strong programming skills in Python, including libraries such as TensorFlow or PyTorch.
- Proficient in SQL with the ability to write complex queries and interact with databases.
- Solid understanding of machine learning algorithms, including supervised and unsupervised learning.
- Solid understanding of OCR, image processing.
- Experience with data preprocessing, feature engineering, and data wrangling.
- Knowledge of statistical analysis and hypothesis testing.
- Excellent problem-solving skills, and a "getting things done" mindset.
- Strong communication and teamwork abilities.
- Ability to work independently and meet project deadlines.
- Advanced degree in computer science or data science is a plus.
- Experience with big data processing frameworks, such as Spark or Hadoop, is a plus.
- Publications or contributions to the machine learning community is a plus.
- Proficiency in data visualization tools like Matplotlib or Tableau is a plus.