AI Systems Specialist

4 days ago

Bengaluru, Karnataka, India beBeeArtificialintelligence Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title: AI Systems Specialist

We are seeking a skilled AI Systems Specialist with a strong background in Natural Language Processing (NLP), model fine-tuning, deployment and evaluation.

Position Summary:

The ideal candidate will possess hands-on experience with Python and cloud platforms (Azure, AWS) along with familiarity with various AI frameworks and tools like Langchain, PyTorch, SpaCy.

Main Responsibilities:

1. Model Development: Fine-tune Large Language Models (LLMs) to optimize their performance for specific tasks and improve overall model accuracy.

2. Deployment & Integration: Deploy generative AI models into production environments using cloud platforms(Azure, AWS) and containerization technologies such as Docker.

3. Cloud Services: Design and implement end-to-end AI solutions using services from Azure or AWS Marketplace, including but not limited to Cognitive Services, Object Storage, API Management (APIM), and App Services.

4. NLP Solutions: Implement NLP based solutions and develop indexing/search capabilities, with in-depth experience in at least one indexing systems.

5. API Development: Build and maintain RESTful APIs using frameworks like Flask or Fast API to serve AI models and integrate them with external systems.

6. Model Evaluation: Evaluate the performance of LLMs for various use cases and explore the potential of Agentic AI to improve system efficiency.

7. Continuous Learning: Stay up-to-date with the latest advancements in Generative AI, NLP and related fields and incorporate these advancements into development process.

Requirements:

Education:

- Bachelor's or Master's degree in computer science, Data Science, or a related field.

Technical Skills:

- Strong programming skills in languages like Python.

- Proficiency in AI Frameworks and Tools such as LangChain, LangGraph, PyTorch, DSPy, SpaCy.

- Experience with web frameworks like Flask, Fast API.

- Experience in containerization tools like Docker.

- Proficiency in cloud platforms such as AWS, Azure.

- Experience with at least one Indexer.

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