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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What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
