Design, develop, prototype, test, and deploy machine learning and AI models. Collaborate with data engineers and product stakeholders to build production AI pipelines and refine model performance. Maintain deployments and iterate on algorithms to enhance functionality.
Overall 3 -5 years experience
Relevant Experience :
- 2 - 3 years
Roles and Responsibilities
- Develop and implement AI models. Design machine learning models and algorithms to solve problems and enhance functionality.
- Collaborate with cross-functional teams. Work with data engineers, stakeholders, and product managers to build and deploy AI solutions.
- Prototyping and testing. Create prototypes to test AI applications and refine machine learning techniques.
- Maintain AI pipelines. Develop and maintain pipelines for deploying AI models into production environments.
Qualification
Education.
- A bachelor’s degree in computer science, data science, or a related field; a master’s degree is preferred.
Work experience.
- Hands-on experience in AI development, data analysis, and machine learning techniques.
Technical skills.
- Proficiency in programming languages like Python, Java, and TensorFlow; familiarity with PyTorch
- Must be familiar with cloud-based platforms and services, such as AWS OR GCP or Azure.
Certifications.
- Relevant certifications in AI and machine learning is an added advantage
- Expertise in natural language processing, and predictive models is an added advantage
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