Job Description
- Design, develop, and deploy machine learning models and algorithms using Python, Java, Scala, TensorFlow, PyTorch, scikit-learn, and other relevant technologies.
- Collaborate with cross-functional teams including data scientists, software engineers, and product managers to understand business requirements and deliver scalable machine learning solutions.
- Implement end-to-end machine learning pipelines, from data collection and preprocessing to model training, evaluation, and deployment.
- Utilize cloud computing platforms such as Azure to build and deploy machine learning solutions at scale, ensuring reliability, scalability, and performance.
- Perform data analysis and visualizations to gain insights from large datasets and identify patterns and trends.
- Apply problem-solving and critical thinking skills to address complex machine learning challenges and optimize model performance.
- Foster a collaborative and inclusive team culture, sharing knowledge and best practices, and mentoring junior team members.
- Stay up-to-date with the latest advancements in machine learning technologies and methodologies, continuously learning and experimenting with new tools and techniques.
- Maintain a Kaggle account and participate in competitions to showcase your machine learning expertise and contribute to the data science community.
Job Qualifications
- Must have related experience with Machine Learning
- Program Language: Python, Java, Scala
- Machine Learning Framework: Tensorflow, PyTorch, scikit-learn
- Cloud Computing: Azure
- Data Analysis and Visualizations; Problem Solving and Critical Thinking
- Collaborative
- Preferably with Kaggle account
Job Type: Full-time
Pay: From Php50,
- 00 per month
Benefits: - Additional leave
Flexible schedule
Health insurance Opportunities for promotion
Promotion to permanent employee
Schedule: Shift system
Supplemental pay types:
* 13th month salary
