About the Role
We are seeking an early-career AI/ML Engineer with 1 to 2 years of experience to support the development and deployment of Generative AI solutions, including large language models (LLMs) and retrieval-augmented generation (RAG) systems. This role emphasizes hands-on implementation, integration, and learning-by-delivery under guidance.
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Must-Have Skills
- Strong foundation in Python, with proficiency in data handling, APIs, and scripting
- Understanding of APIs, Docker, or deployment workflows
- Exposure to deploying ML/AI models, gained from projects or internships
- Understanding of embeddings and retrieval workflows
- Hands-on experience through projects
- Familiarity with GPT/Llama APIs
- Ability to structure prompts and evaluate outputs
- Basic familiarity with vector databases such as FAISS, Chroma, or Pinecone
- Strong grasp of ML fundamentals including overfitting, evaluation metrics, and basic algorithms
- Ability to reason about model behavior
Core Responsibilities
- Assist in building RAG-based Generative AI solutions for enterprise use cases
- Develop Python-based services and APIs that integrate LLMs
- Support data preprocessing, embeddings, and retrieval pipelines
- Contribute to model deployment and integration tasks
- Debug and improve existing pipelines under supervision
- Collaborate closely with senior engineers to understand production constraints such as latency, cost, and accuracy
Good-to-Have Skills
- Exposure to LangChain or LlamaIndex
- Basic knowledge of cloud platforms (Azure, AWS, GCP)
- Basic understanding of CI/CD or MLOps concepts
- Internship or project experience in Generative AI or machine learning use cases
Experience & Qualification
- Bachelor's degree in Computer Science, Data Science, or a related field
- 1 to 2 years of experience in AI/ML, inclusive of internships and project work
- Exposure to at least one end-to-end ML/Generative AI project in either academic or professional settings
This position offers an exciting opportunity to engage in cutting-edge AI solutions, fostering growth in generative technologies and their applications.
