AI/ML Developer

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

Artificial Intelligence, Machine Learning, Generative AI, LLM, API, AWS, PyTorch, RAG, LangChain, Python