Job title:

Job Description:

AI Engineer will play a crucial role in the development and implementation of cutting-edge artificial intelligence products. The responsibilities of this role will involve designing and developing artificial intelligence systems as well as refining and updating existing systems.

Candidate should be AI & Gen AI practitioner with experience building data pipelines based on model chaining, with solid platform and infrastructure foundations.

Ideal candidate will have a strong knowledge base and expertise for specific Gen AI applications.

Skills

Data Analysis Skills :
- Model chain libraries (eg Langchain)
- Databases (Postgres, Redis)

Gen AI Skills :
- LLM and Foundational models
- NLP
- Model serving
- Model lifetime management (accuracy, Testing etc.)
- Ability to perform prompt engineering to guide AI models effectively.

General Skills : 
- Experience with Python, with a solid grasp of software development principles
- Experience in writing and maintaining test cases to ensure code quality
- Platform
- Container and Docker
- Containers as a service
- Observability

Requirements 

    - Total IT experience of around 5 to 8 years with experience in relevant role of 2 years.
    - Clear communication with product managers and other engineers regarding project timelines, delays, advancements, and progression
    - Understanding of - Engineering ethics, AI creation ethics
    - Workable knowledge of AI and ML best practices for - Model building, Automation, Neural network enrichment, Iterative learning, “Black box” problem-solving
    - Strong time management skills
    - Dedication to high-quality work output
    - Ability to write robust code in Python
    - Excellent communication skills
    - Ability to work in a team
    - Outstanding analytical and problem-solving skills
    - Experience with cloud platforms (e.g., AWS, Azure) and distributed computing.
    - Excellent problem-solving abilities and a passion for innovation.
    - Effective communication skills to collaborate with diverse teams.
 

Location:

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Time Type:

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