AI/ML Developer - Generative AI/LLM
Posted Updated
Description
Ideal Candidate :
1. Strong AI/ML Developer Profile :
- Strong AI/ML Developer Profile with hands-on Python, LLM, and RAG production experience.
2. Mandatory Experience :
- Must have 3+ years of hands-on software development experience with at least the recent 1+ years on AI/ML or LLM-based projects.
3. Mandatory Tech Skill 1 :
- Must have strong working knowledge of Python.
4. Mandatory Tech Skill 2 :
- Must have hands-on experience with LLM APIs or platforms (OpenAI, Anthropic, Amazon Bedrock, Azure OpenAI, or open-source models like Llama, Mistral).
5. Mandatory Tech Skill 3 :
- Must have practical experience building RAG applications using frameworks such as LangChain, LlamaIndex, or similar (data ingestion, chunking, embeddings, vector search, prompt design).
6. Mandatory Tech Skill 4 :
- Must have familiarity with embeddings and vector databases such as Pinecone, FAISS, Chroma, pgvector, Weaviate, or OpenSearch.
7. Mandatory Tech Skill 5 :
- Must have understanding of prompt engineering and ways to evaluate LLM outputs.
8. Mandatory Tech Skill 6 :
- Must have experience deploying models or AI services to production (FastAPI/Flask, Docker, AWS Lambda, ECS, or SageMaker).
9. Mandatory Tech Skill 7 :
- Must have working knowledge of AWS services (EC2, S3, Lambda, IAM, CloudWatch, ECS/ECR), and the ability to design, write, and consume REST APIs.
10. Mandatory Tech Skill 8 :
- Must have experience with databases (PostgreSQL, MySQL, or DynamoDB), Git-based version control, and comfort with Linux commands and shell scripting.
11. Mandatory Tech Skill 9 :
- Must have strong debugging and problem-solving skills.
12. Mandatory Tech Skill 10 :
- Familiarity with ML libraries such as PyTorch, TensorFlow, scikit-learn, or Hugging Face Transformers.
13. Mandatory Education :
- Must have Bachelor's degree in Computer Science, Information Technology, or Engineering.
Skills
- AI
- Anthropic
- API
- AWS
- AWS Bedrock
- Azure
- Bash
- CloudWatch
- Data Ingestion
- Docker
- DynamoDB
- EC2
- ECS
- Embeddings
- FAISS
- FastAPI
- Flask
- Git
- Hugging Face
- IAM
- Lambda
- LangChain
- Linux
- LlamaIndex
- LLM
- Machine Learning
- Mistral
- MySQL
- OpenAI
- OpenSearch
- pgvector
- Pinecone
- PostgreSQL
- Prompt Engineering
- Python
- PyTorch
- RAG
- REST
- S3
- SageMaker
- scikit-learn
- TensorFlow
- Transformers
- Vector Databases
- Vector Search
- Version Control
- Weaviate