AI/ML Engineer – GenAI, LLMs & Deep Learning

5 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

Apply

Work Mode

On-site

Job Type

Full Time

Job Description

About ChainScript Labs – AI Division

LLMs


Our Focus Areas:

  • Agentic Systems:

    Autonomous AI agents that observe, decide, and act intelligently
  • Synthetic AI Agents:

    Real-time market analysis for trends, opportunities, and risks
  • Conversational AI:

    Chatbots, voice assistants, and interactive engagement tools
  • Generative AI Pipelines:

    Image, video, and content generation for creative & operational workflows
  • Process Automation:

    AI-driven automation of business tasks, reporting, and analytics
  • Scalable Deployment:

    Cloud & on-prem environments for enterprise-grade reliability
  • Real-Time Insights:

    Data-driven analytics to optimize decisions instantly


Role Overview

AI/ML Engineer


Key Responsibilities

  • Architect, train, fine-tune, and deploy

    LLM-based applications

    .
  • Build

    end-to-end AI pipelines

    for cloud (AWS/Azure/GCP) and on-prem environments.
  • Integrate

    agentic AI frameworks

    (MCP, multi-agent orchestration) into products.
  • Apply

    deep learning techniques

    for NLP, computer vision, multimodal AI, and generative tasks.
  • Develop

    production-ready chatbots, image/video systems

    , and GenAI tools.
  • Optimize models for

    scalability, latency, and cost-efficiency

    .
  • Collaborate with teams to embed AI into product ecosystems.


Requirements

  • Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field.
  • 5+ years of hands-on AI/ML experience with strong fundamentals

    (CS, algorithms, ML theory).
  • Proven expertise in

    LLMs (open & closed)

    and

    Generative AI

    .
  • Experience in

    cloud-based and/or on-prem AI deployments

    .
  • Strong knowledge of

    neural networks, transformers, and multimodal AI

    .
  • Experience with

    MCP

    and

    agentic AI

    .
  • Proficiency in

    Python

    and frameworks like PyTorch, TensorFlow, or JAX.
  • Familiarity with

    MLOps

    for CI/CD and monitoring.


Nice to Have

  • Vector databases, RAG, embeddings
  • Reinforcement learning, GANs, diffusion models
  • Open-source AI/ML contributions


Why Join Us?

  • Build

    innovative AI-first products

    with a talented team
  • Freedom to experiment, research, and innovate


Mock Interview

Practice Video Interview with JobPe AI

Start Job-Specific Interview
cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

coding practice

Enhance Your Skills

Practice coding challenges to boost your skills

Start Practicing Now

RecommendedJobs for You