L&T is Hiring GenAI Trainee | Powai, Mumbai | Freshers

Job Description

This L&T listing is worth flagging for something unusual even among the many AI-related postings covered on this site: the responsibilities span 𝗳𝗶𝘃𝗲 𝗱𝗶𝘀𝘁𝗶𝗻𝗰𝘁 𝗔𝗜 𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 simultaneously — Machine Learning/AI, Generative AI, Computer Vision, Data Analytics/Engineering, and AI Solution Integration — each with its own detailed sub-list of duties. In practice, no single trainee role genuinely requires deep competence across all five of these areas at once; this reads like a template combining multiple potential job functions into one posting, likely because the actual assignment will depend on which specific team or project you're placed into after joining, rather than every trainee doing all of this simultaneously.

What this means practically: rather than trying to prepare for everything listed (LLM prompt engineering, RAG pipelines, computer vision with YOLO/OpenCV, data pipeline engineering, AND enterprise API integration), it's worth applying with a genuine strength in one or two of these areas and being upfront in interviews about where your actual experience lies — asking directly which specific team or project track you'd be assigned to is a reasonable and useful clarifying question given how broad this listing reads.

L&T itself is a large Indian engineering and technology conglomerate — this specific posting sits under 𝗗𝗘𝗜𝗖-𝗟&𝗧 𝗣𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗦𝘆𝘀𝘁𝗲𝗺𝘀, based at L&T's Innovation Campus in Powai, Mumbai. This context matters: unlike a pure AI/tech company, L&T's AI work is often applied to industrial, manufacturing, and engineering use cases, which could mean genuinely interesting applied AI problems (like computer vision for quality inspection, or predictive maintenance) rather than purely consumer-facing AI products.

𝗢𝘂𝗿 𝗧𝗮𝗸𝗲:

- 𝗚𝗼𝗼𝗱 𝗳𝗼𝗿: BTech graduates with genuine strength in at least one AI specialization (ML, GenAI, or Computer Vision) who want exposure to applied AI in an industrial/engineering context at a large, established Indian company

- 𝗡𝗼𝘁 𝗶𝗱𝗲𝗮𝗹 𝗳𝗼𝗿: those hoping to specialize narrowly and predictably — the breadth of this listing suggests some ambiguity about which specific track you'll actually work in, worth clarifying before accepting an offer

- 𝗦𝗲𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗱𝗶𝗳𝗳𝗶𝗰𝘂𝗹𝘁𝘆: hard to assess precisely given the listing's breadth — the technical bar in any single area (ML fundamentals, LLM/RAG work, or computer vision with YOLO/OpenCV) is genuinely substantial, but it's unlikely any one candidate is expected to be strong across all five domains

- 𝗖𝗮𝗿𝗲𝗲𝗿 𝘁𝗿𝗮𝗷𝗲𝗰𝘁𝗼𝗿𝘆: could lead into AI/ML Engineer, GenAI Developer, or Computer Vision Engineer roles depending on which track you're ultimately placed into — worth treating the eventual specialization as something to actively express interest in during the interview process, rather than assuming it will be assigned neutrally

𝗖𝗼𝗺𝗽𝗲𝗻𝘀𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝗻𝘁𝗲𝘅𝘁: L&T hasn't disclosed pay for this role. GenAI/ML Trainee roles at large Indian engineering conglomerates in Mumbai typically range around ₹4–6.5 LPA for freshers, based on general market data for comparable entry-level AI roles at similar-scale companies — this is an estimate only, and actual placement could vary depending on which specific AI track (ML, GenAI, or CV) you end up working within.

𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆: Given the extraordinary breadth of this listing, don't try to claim proficiency across all five domains — instead, lead your application with your single strongest AI area (backed by a specific project or coursework example) and explicitly express interest in which track you'd want to be considered for; this shows self-awareness and focus, which is likely to stand out more than a generic "I know ML, GenAI, and CV" claim that risks reading as unfocused given how detailed and specific each section of this posting actually is.

Roles & Responsibilities

Given the breadth, it's worth summarizing by theme rather than listing every sub-bullet — the role spans model development support, generative AI application building, computer vision implementation, data pipeline work, and enterprise AI integration, with documentation and compliance responsibilities threaded throughout all of them.

- Support ML/deep learning model development: data preprocessing, feature engineering, training, validation

- Assist GenAI application development: prompt engineering, RAG, fine-tuning, chatbot/virtual assistant building

- Support computer vision projects: object detection, classification, segmentation, OCR using OpenCV/TensorFlow/PyTorch/YOLO

- Conduct data analytics: EDA, visualization, dashboard creation, data pipeline support

- Integrate AI/GenAI/CV models into web, mobile, and enterprise applications via APIs

- Prepare technical documentation and follow Responsible AI, privacy, and compliance guidelines

Qualifications & Eligibility

Straightforward on paper, though the practical technical bar implied by the responsibilities is considerably higher than the qualification line alone suggests.

-Bachelor of Technology (BTech)

-0–2 years of experience

Skills Required

The posting tags only "Machine Learning" and "Artificial Intelligence" broadly as required skill categories, though the detailed responsibilities imply hands-on familiarity with specific frameworks and tools across multiple sub-domains.

- Machine Learning and Artificial Intelligence fundamentals

- LLM/GenAI frameworks, RAG, prompt engineering

- Computer vision libraries: OpenCV, TensorFlow, PyTorch, YOLO

- Data analytics and visualization tools