The Role:
We’re seeking an AI Specialist who designs and deploys advanced machine learning models to tackle complex business challenges. This role is designed for professionals with a strong research background, deep expertise in frameworks like TensorFlow or PyTorch, and proven success in production AI systems. You’ll play a key role in shaping intelligent solutions through applied research, scalable deployment, and collaboration with product and engineering teams.
Location: Must be in the Philippines
Timezone: 8AM - 5PM CST / 9PM – 6AM Philippine Time
Employment: Full Time
Requirements:
- Bachelor's or Master's degree in Computer Science.
- Proven track record of published research or production AI work in machine learning or a related field.
- Demonstrated experience designing and deploying machine learning models in real-world environments.
- Strong programming skills.
- Solid understanding of machine learning algorithms, statistical analysis, and data mining techniques.
- Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
- Familiarity with Natural Language Processing (NLP) techniques and applications.
- Experience with big data technologies such as Hadoop and Spark.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Experience with Salesforce AI is preferred.
- Proficiency with data preprocessing, feature engineering, and working with large datasets.
- Experience with version control systems such as Git and familiarity with software development best practices.
Responsibilities:
- Design, develop, and implement AI algorithms and machine learning models to solve business problems.
- Analyze and preprocess large datasets, including feature engineering and data quality assessment.
- Evaluate model performance and fine-tune algorithms to achieve optimal accuracy and efficiency.
- Deploy AI models into production environments and monitor them for performance and drift.
- Troubleshoot production AI systems and resolve issues in real time.
- Collaborate with data scientists, software engineers, and product teams to build intelligent systems.
- Present findings, recommendations, and technical insights to stakeholders and decision-makers.
- Develop and maintain clear documentation for models, pipelines, and solution architectures.
- Conduct applied research to advance the organization's capabilities in AI and machine learning.
- Ensure AI solutions meet ethical standards and comply with applicable laws and regulations.
- Participate in code reviews and contribute to team knowledge sharing and best practices.
- Stay current with advancements in AI, machine learning, and related technologies.
