Gen AI Specialist Needed
Budget: ₹60,000 – ₹80,000 INR
We need below resource on a monthly. Cost is already mentioned in the bid so if you matches with budget and JD then only bid
Position: Generative Ai Specialist
Work Mode: Remote
Experience: 5+ years in AI/ML with a focus on Generative AI
The client’s platform uses Generative AI models to summarize and derive insights from vast datasets.
While the team has built a strong foundation, they require an expert in LLMs and dynamic prompting
to create scalable, intelligent solutions and drive AI innovation.
Key Responsibilities:
Dynamic Prompt Management
a. Design frameworks for handling dynamic and use-case-specific prompts.
b. Enhance the efficiency and reliability of AI-driven summarization workflows.
Fine-tuning and Customization
Fine-tune GPT and other LLMs to align with client-specific needs.
Implement advanced RAG methodologies for improved response accuracy.
Embedding and Retrieval Optimization
c. Develop and optimize vectorization techniques using cosine similarity, dot product, and other
measures.
d. Design scalable indexing and retrieval pipelines for large datasets.
Git and Collaboration
e. Use Git for effective version control and model development tracking.
f. Conduct regular reviews of AI pipelines and ensure efficient debugging practices.
Integration and Insights
g. Collaborate with the Python team to integrate LLMs seamlessly into the data pipeline.
h. Generate actionable insights from the summarized data to aid decision-making.
Required Skills:
Strong knowledge of GPT APIs, LangChain, and fine-tuning of LLMs.
Proficiency in vectorization, indexing, and retrieval methods.
Experience with Azure OpenAI, Google AI, or similar platforms.
Debugging skills for AI pipelines and related systems.
Git proficiency for version control in AI/ML projects. Preferred Skills:
Knowledge of Airflow and agent-based LLM chains.
Understanding of front-end integrations for AI-driven visualizations.
Position: Generative Ai Specialist
Work Mode: Remote
Experience: 5+ years in AI/ML with a focus on Generative AI
The client’s platform uses Generative AI models to summarize and derive insights from vast datasets.
While the team has built a strong foundation, they require an expert in LLMs and dynamic prompting
to create scalable, intelligent solutions and drive AI innovation.
Key Responsibilities:
Dynamic Prompt Management
a. Design frameworks for handling dynamic and use-case-specific prompts.
b. Enhance the efficiency and reliability of AI-driven summarization workflows.
Fine-tuning and Customization
Fine-tune GPT and other LLMs to align with client-specific needs.
Implement advanced RAG methodologies for improved response accuracy.
Embedding and Retrieval Optimization
c. Develop and optimize vectorization techniques using cosine similarity, dot product, and other
measures.
d. Design scalable indexing and retrieval pipelines for large datasets.
Git and Collaboration
e. Use Git for effective version control and model development tracking.
f. Conduct regular reviews of AI pipelines and ensure efficient debugging practices.
Integration and Insights
g. Collaborate with the Python team to integrate LLMs seamlessly into the data pipeline.
h. Generate actionable insights from the summarized data to aid decision-making.
Required Skills:
Strong knowledge of GPT APIs, LangChain, and fine-tuning of LLMs.
Proficiency in vectorization, indexing, and retrieval methods.
Experience with Azure OpenAI, Google AI, or similar platforms.
Debugging skills for AI pipelines and related systems.
Git proficiency for version control in AI/ML projects. Preferred Skills:
Knowledge of Airflow and agent-based LLM chains.
Understanding of front-end integrations for AI-driven visualizations.