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

Open nowPosted 93 days ago

ML Engineer

TVS Next41 open roles

Where
Chennai
Get the CV for this job

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

Your applicationOpen nowML EngineerTVS Next · Chennai

  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 TVS Next'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.

11.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 93 days ago

The posting

What You'll Do

You will join our high-performance Data & AI engineering team and contribute to designing, developing, and deploying scalable Machine Learning solutions that power intelligent enterprise applications and AI-driven business outcomes.

  • Develop, train, evaluate, and deploy Machine Learning models for enterprise and product use cases. Design and implement solutions for regression, classification, clustering, anomaly detection, and predictive analytics. Build reusable feature engineering, data preprocessing, and model training pipelines. Work with large-scale structured and unstructured datasets using Python and SQL. Collaborate with Data Engineers and AI Engineers to productionize Machine Learning models. Build end-to-end ML pipelines covering data ingestion, training, validation, deployment, inference, monitoring, and automated retraining. Deploy Machine Learning models as REST APIs using FastAPI, Flask, or similar frameworks. Optimize models for accuracy, scalability, reliability, and production performance. Monitor deployed models for prediction quality, model drift, and retraining requirements. Containerize ML applications using Docker and support automated deployments through CI/CD pipelines. Participate in architecture discussions, code reviews, technical documentation, and continuous improvement initiatives. Collaborate with Product Managers, Software Engineers, Data Engineers, and business stakeholders to deliver AI-driven solutions.

What We Seek In You

  • 3+ years of experience in Machine Learning Engineering, Applied AI, or Data Science. Strong proficiency in Python, SQL, Scikit-learn, TensorFlow or PyTorch, NumPy, and Pandas. Strong understanding of supervised and unsupervised learning, regression, classification, clustering, anomaly detection, feature engineering, model evaluation, and hyperparameter tuning. Hands-on experience building and deploying Machine Learning models using FastAPI or Flask REST APIs. Experience working with Docker, CI/CD pipelines, Git, and cloud platforms such as Azure, AWS, or GCP. Good understanding of scalable ML systems, model optimization, monitoring, model drift detection, and retraining strategies. Strong analytical, debugging, and problem-solving skills. Excellent communication and stakeholder collaboration abilities. Ability to work effectively in agile, cross-functional engineering teams.

Preferred Qualifications

  • Experience with MLflow, Kubeflow, Apache Airflow, Azure Machine Learning, or AWS SageMaker. Exposure to NLP, Computer Vision, or Recommendation Systems. Familiarity with Apache Spark or Hadoop. Knowledge of Responsible AI, Model Explainability, AI Fairness, Bias Detection, and AI Governance. Experience with Kubernetes or container orchestration platforms. Domain experience in Manufacturing, Automotive, Supply Chain, Financial Services, Healthcare, or Enterprise Analytics is an added advantage.

Life At Next

At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth.

Perks Of Working With Us

  • Clear objectives to ensure alignment with our mission. Opportunities to collaborate closely with customers, product managers, and leadership. Continuous learning through Nexversity and structured mentorship. Hybrid work model promoting flexibility and work-life balance. Comprehensive family health insurance coverage. Accelerated career growth and opportunities to work with emerging AI technologies.

Who We Are

We enable high-growth enterprises to build hyper-personalized solutions that transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology, and harness the power of Data and AI to co-create solutions tailored to our customers' unique needs.

Join our passionate team and tailor your growth with us!

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 TVS Next'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 TVS Next'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

    TVS Next'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.