GenAI Trainee

Job Description

About Us

About DATAECONOMY: We are a fast-growing data & analytics company headquartered in Dublin with offices inDublin, OH, Providence, RI, and an advanced technology center in Hyderabad,India. We are clearly differentiated in the data & analytics space via our suite of solutions, accelerators, frameworks, and thought leadership.

Job Description

About the Role

We are looking for enthusiastic and high-potential freshers to join our AI team as Trainee Generative AI Engineers. This is an excellent opportunity for recent graduates from premium institutes to work on cutting-edge AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and Machine Learning applications. You will be mentored by experienced AI professionals and get hands-on exposure to real-world projects, working with state-of-the-art AI tools and frameworks.

Key Responsibilities

- Assist in designing and developing applications powered by LLMs, RAG pipelines, and Agentic AI frameworks.
- Support in fine-tuning pretrained models (e.g., GPT, LLaMA, Mistral, BERT) for specific use cases.
- Learn to implement RAG pipelines with vector databases (e.g., FAISS, Pinecone) for context-aware AI solutions.
- Contribute to building intelligent agent workflows for automation, reasoning, and decision-making.
- Write Python scripts for text classification, summarization, question answering, and related NLP tasks.
- Work closely with senior engineers, data scientists, and product managers to understand requirements and deliver AI solutions.
- Follow best practices for coding, version control, and AI model deployment in cloud environments.

Requirements

Required Skills & Knowledge

- M.Tech in Data Science from IIT/NIT or other top-tier institutes (2024 or 2025 pass-out).
- Strong understanding of Python programming and basic ML concepts.
- Academic exposure to NLP, Generative AI, or related coursework/projects.
- Familiarity with AI frameworks like PyTorch, TensorFlow, Hugging Face Transformers (preferred but not mandatory).
- Good problem-solving, logical reasoning, and analytical skills.
- Eagerness to learn emerging AI/ML technologies and apply them to real-world problems.
- Good communication and teamwork skills.

Preferred Qualifications

- Internship or academic project experience in AI, ML, NLP, or data engineering.
- Knowledge of cloud platforms (AWS, Azure, or GCP).
- Certifications in AI/ML from reputed platforms.

Benefits

Why Join Us

- Opportunity to work directly on Generative AI, RAG, and Agentic AI projects.
- Mentorship from senior AI experts.
- Exposure to enterprise-grade AI deployments across industries.
- Collaborative, innovation-driven work culture.

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