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

Open nowPosted 9 hours ago

AI Data Engineer

Weekday AI

Pay
₹45 an hour
Where
Bengaluru, KA, India
Get the CV for this job

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

Your applicationOpen nowAI Data EngineerWeekday AI · Bengaluru, KA, India

  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 Weekday AI'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.

13.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted 9 hours ago

The posting

This role is for one of Weekday’s clients Salary range: Rs 4500000 - Rs 6500000 (ie INR 45 - 65 LPA)

Min Experience: 7+ years Location: Bengaluru JobType: full-time

We are looking for an experienced and technically proficient AI Data Engineer to design, develop, and manage scalable data infrastructure that powers advanced Artificial Intelligence (AI), Machine Learning (ML), and Generative AI applications. The ideal candidate will have strong expertise in data engineering, distributed computing, cloud platforms, and modern data architectures, along with an understanding of AI/ML workflows and data-intensive systems.

You will be responsible for building robust data pipelines, developing scalable data platforms, and ensuring the availability, quality, and reliability of structured and unstructured data for AI-driven applications. This role requires someone who can work across engineering, data science, and AI teams to translate complex business requirements into efficient data solutions.

Requirements

Key Responsibilities

1. Data Engineering & Pipeline Development

  • Design, develop, and maintain scalable ETL/ELT pipelines for processing large volumes of structured and unstructured data.
  • Build reliable batch and real-time data processing systems to support AI/ML applications.
  • Develop data ingestion, transformation, integration, and orchestration frameworks.
  • Optimize data workflows for performance, scalability, and cost efficiency.

2. AI & Machine Learning Data Infrastructure

  • Build and maintain data infrastructure supporting machine learning, deep learning, and Generative AI applications.
  • Develop data pipelines for model training, validation, testing, and deployment.
  • Work with vector databases, embeddings, and retrieval-augmented generation (RAG) architectures.
  • Prepare, clean, transform, and validate datasets for AI model development.
  • Support feature engineering, feature stores, and model data management.

3. Data Architecture & Cloud Infrastructure

  • Design scalable data architectures using modern data platforms and distributed computing frameworks.
  • Work with cloud environments such as AWS, Microsoft Azure, or Google Cloud Platform.
  • Implement data lakes, data warehouses, and lakehouse architectures.
  • Leverage technologies such as Apache Spark, Kafka, Airflow, Databricks, Snowflake, and Delta Lake.

4. Data Quality, Governance & Security

  • Establish data quality checks, monitoring, validation, and observability frameworks.
  • Ensure data consistency, integrity, security, and compliance.
  • Implement access controls, metadata management, and data governance practices.
  • Identify and resolve data pipeline bottlenecks and infrastructure issues.

5. Collaboration & Technical Leadership

  • Collaborate with AI engineers, ML engineers, data scientists, and product teams.
  • Lead technical discussions, architecture decisions, and engineering best practices.
  • Mentor junior engineers and drive continuous improvements in data engineering processes.
  • Evaluate emerging AI and data technologies to improve platform capabilities.

Required Skills & Qualifications

  • 7–18 years of experience in Data Engineering, AI Data Engineering, or related engineering roles.
  • Strong proficiency in Python, SQL, and data processing frameworks.
  • Hands-on experience with Apache Spark, Kafka, Airflow, and distributed data systems.
  • Experience building large-scale ETL/ELT pipelines and modern data architectures.
  • Strong understanding of AI/ML data workflows and Generative AI infrastructure.
  • Experience with cloud platforms (AWS, Azure, or GCP).
  • Knowledge of vector databases, embeddings, RAG pipelines, and unstructured data processing.
  • Experience with data warehouses, data lakes, and lakehouse platforms.
  • Strong understanding of database technologies, data modelling, and optimization techniques.
  • Familiarity with Docker, Kubernetes, CI/CD, and infrastructure automation.

Good-to-Have Skills

  • Experience working with LLMs and AI-powered applications.
  • Exposure to LangChain, LlamaIndex, and model-serving infrastructure.
  • Knowledge of MLOps, feature stores, and model lifecycle management.
  • Experience with Databricks, Snowflake, BigQuery, or Redshift.
  • Familiarity with data observability and governance tools.
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 Weekday AI'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 Weekday AI'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

    Weekday AI'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.