Designing and Developing AI models: This includes creating architectures, algorithms, and frameworks for generative AI.
Implementing AI models: This involves building and integrating AI models into existing systems and applications.
Working with LLMs and other AI technologies: This includes using tools and techniques like LangChain, Haystack, and prompt engineering.
Data preprocessing and analysis: This involves preparing data for use in AI models.
Collaborating with other teams: This includes working with data scientists, product managers, and other stakeholders.
Testing and deploying AI models: This involves evaluating model performance and deploying them to production environments.
Monitoring and optimizing AI models: This involves tracking model performance, identifying issues, and optimizing models for better results.
Staying up to date with the latest advancements in Gen AI: This includes learning about new techniques, models, and frameworks.
Required Skills:
Strong programming skills in Python: Python is the preferred language for AI development.
Knowledge of Generative AI, NLP, and LLMs: This includes understanding the principles behind these technologies and how to use them effectively.
Experience with RAG pipelines and vector databases: This includes understanding how to build and use retrieval-augmented generation pipelines.
Familiarity with AI frameworks and libraries: This includes knowledge of frameworks like LangChain, Haystack, and open-source libraries.
Understanding of prompt engineering and tokenization: This includes understanding how to optimize prompts and manage tokenization.
Experience in integrating and fine-tuning AI models: This includes knowledge of deploying and maintaining AI models in production environments.
Excellent communication and problem-solving skills: This includes the ability to communicate complex technical concepts to non-technical stakeholders.
Optional Skills:
Experience with cloud computing platforms (GCP, AWS, Azure): This can be helpful for deploying and managing AI models.
Familiarity with MLOps practices: This can help with building and deploying AI models in a scalable and reliable manner.
Experience with DevOps practices: This can help with automating the development and deployment of AI models.
Job Type: Permanent
Pay: ₹2,000,000.00 - ₹3,000,000.00 per year
Experience:
Total: 6 years (Required)
OpenAI, Claude, Gemini : 3 years (Required)
Azure : 3 years (Required)
GenAI : 3 years (Required)
Python : 3 years (Required)
Work Location: In person
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