Beinex.ai Biggest Hiring for freshers as a AI Specialist – Trainee | Freshers Must apply Full Time NEW

Beinex.ai Biggest Hiring for freshers as a AI Specialist – Trainee | Freshers Must apply. This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in  India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Check course section free 

About Company :

Job Description :

Key Responsibilities:

• Capstone Projects: Lead or co-develop a final project, such as an LLM-powered application, AI agent, or RAG pipeline, that you’ll present in a showcase.
• Hands-On Labs: Participate in guided lab sessions covering prompt engineering, vector databases, LLM deployments, multi-agent setups, fine-tuning strategies, and more.
• Model Development & Optimization: Assist in constructing, refining, and deploying LLM-based solutions, covering prompt design, RAG integrations, and agent workflows using tools like LangChain, Hugging Face, or FastAPI.
• Trend Monitoring & Evaluation: Stay updated on evolving AI engineering trends (small models, locally hosted LLMs, and multimodal systems), evaluate emerging tools and APIs, and propose potential integrations.
• Collaboration: Work closely with engineers, product managers, and domain leads to align AI solutions with technical and business needs

Required Skills and Qualifications:

• LLM/Gen-AI Familiarity: Basic understanding of large language models, prompt engineering, vector-based retrieval, simple fine-tuning, or RAG pipelines.
• Python Skills (Not mandatory): Familiarity with Python (or similar scripting languages) and libraries like Hugging Face, PyTorch, LangChain, LangGraph, AutoGen, or FastAPI is advantageous.
• Deep Passion for Learning: Demonstrated curiosity and self-driven interest in generative AI, emerging trends, and hands-on experimentation with new tools.
• Analytical & Problem-Solving Mindset: Strong ability to break down problems, analyse model outputs, troubleshoot, and propose iterative improvements.

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