Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 142 days ago

Senior AI/ML Trainer

CloudThat83 open roles

Where
Bengaluru
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior AI/ML TrainerCloudThat · Bengaluru

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on CloudThat's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. CloudThat postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 142 days ago

CloudThat median: 1 days open

The posting

Role: Senior AI/ML Trainer

Location: Bangalore

Employment Type: Full-time

About your Company: Cloud That, founded in 2012 by Bhavesh Goswami, is India’s first company to offer comprehensive cloud consulting and training. Headquartered in Bengaluru with global offices, it has delivered 350+ projects and trained 850K+ professionals across 30+ countries.

A top-tier partner with AWS, Microsoft, Google Cloud, and Databricks, Cloud That is the only company globally to win all three major cloud training awards in 2025. It also holds multiple prestigious partnerships and was certified as a Great Place to Work® in 2025, highlighting its innovation-driven, people-first culture.

About the Role

We are looking for a passionate Senior Technical Trainer with good hands-on to join our expert team. Candidate will drive knowledge adoption across customers, partners, and internal teams delivering high-impact training in AI/ML, Deep Learning, and the rapidly evolving Generative AI & Agentic AI landscape.

Key Responsibilities

  • Conduct engaging in-person and virtual training sessions across a range of learner profiles
  • Deliver workshops and bootcamps on AI/ML, Deep Learning, Generative AI, RAG pipelines, and Agentic AI systems and LLMOps.
  • Design and develop training materials, including slide decks, hands-on labs, demo notebooks, video walkthroughs, and assessments aligned towards current industry trends and customer needs.
  • Build modular, reusable learning content covering GenAI application development, RAG architectures, LLM fine-tuning, prompt engineering, and multi-agent orchestration, LLMOps.
  • Integrate real-world use cases and project-based learning into every module, ensuring practical applicability.
  • Work closely with internal and external Subject Matter Experts (SMEs) to draft training proposals and curate content aligned with enterprise skilling goals.
  • Train and mentor internal trainers and partner faculty to scale delivery across regions and formats.

Requirements (Must- have):

  • ML and Deep learning frameworks: Scikit Learn, TensorFlow, PyTorch, Keras
  • Neural network architectures: CNNs, RNNs, LSTMs, Transformers
  • ML workflows: data preprocessing, model training, evaluation, and optimization
  • Working knowledge of Large Language Models (LLMs): GPT, Llama, Mistral, Gemini, Claude, etc.
  • Prompt Engineering: zero-shot, few-shot, chain-of-thought, and advanced prompting patterns
  • RAG (Retrieval-Augmented Generation), Vector databases (Pinecone, FAISS, Chroma, Weaviate), embedding models, chunking strategies
  • LLM Fine-tuning: LoRA, QLoRA, PEFT, RLHF

Agentic AI & Frameworks:

  • Building and teaching AI Agents — tool use, memory, planning, and reasoning loops
  • Hands-on familiarity with at least two or more Agentic AI frameworks: LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen (Microsoft), OpenAI Agents SDK or Anthropic Claude SDK
  • Hands-on knowledge of MCP (Model Context Protocol), tool calling, and function calling patterns
  • Hands-on knowledge of Multi-Agent system design and its nuances and LLMOps

Qualifications

  • Bachelor's degree in computer science, Engineering, Mathematics, or a related field or equivalent practical experience
  • Demonstrated hands-on experience in AI/ML model development, GenAI application building, or data science workflows
  • Proven track record of delivering technical training, workshops, or bootcamps especially in AI/ML or GenAI domains
  • Experience with cloud-based AI/ML platforms (AWS Sagemaker, Azure AI Foundry, GCP Vertex AI, etc.) is highly recommended.
  • Having any of professional cloud certifications is a plus
  • Prior experience developing content for professional certifications or enterprise skilling programs is a plus
  • Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse audiences
  • Strong facilitation skills - comfortable engaging beginners as well as seasoned engineers in the same session
  • Strong analytical and problem-solving skills with an eye for real-world applicability

Good to have:

  • Contributions to open-source AI/ML projects or public learning resources (blogs, notebooks, talks)
  • Experience with AI governance, responsible AI practices, or bias/safety considerations in LLMs
  • Active community presence (LinkedIn, Hugging Face, GitHub, etc.)

What We Offer:

  • Competitive salary and performance bonuses.
  • Learning & development opportunities.
  • Collaborative and diverse team environment.
  • Be a part of the ONLY company in the world to be recognized by Microsoft, AWS, and Google Cloud with prestigious awards in 2025.

Application Process: Shortlisted candidates will be contacted for a Virtual/Face to Face interview. Our process includes a [5–rounds of interview].

Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, gender, sexual orientation, age, or disability status.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against CloudThat's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on CloudThat's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    CloudThat's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.