Senior Machine Learning Engineer

V2 Solutions; Chennai District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Poshmark is seeking a Senior Machine Learning Engineer to own the ML lifecycle from data collection to deployment in Chennai, India. You will collaborate with data science, QA, and infra teams to productionize models and ensure scalable ML services.

The role requires strong CS fundamentals and hands-on experience with ML models such as LLMs and neural networks, along with Python, SQL, and big data tooling. This onsite position offers opportunities to advance data-centric shopping experiences.

Qualifications

• 4+ years of experience applying ML to large-scale problems.
• Strong CS fundamentals and ability to write algorithms.
• Experience with at least one ML model such as LLMs, GNNs, or deep learning.
• Knowledge of big data technologies and data pipelines.

Responsibilities

• Manage the entire ML lifecycle from data collection to deployment and monitoring.
• Collaborate with DS, QA, Infra and other engineering teams to productionize ML models.
• Write and optimize code for production environments ensuring robust ML services at scale.
• Support and evolve existing solutions with newer technologies.

Skills

Machine Learning

CS fundamentals

Data Science

Python

SQL

Java/Scala

Big data architectures

Flask/FastAPI

RabbitMQ

Embeddings

Vector DBs

Education

Bachelor's or Master's in Computer Science, Statistics, or related field

Tools

Pytorch

TensorFlow

Sklearn

Flask

FastAPI

RabbitMQ

Embeddings

Vector DBs

Docker

Kubernetes

Airflow

Databricks

Job description

# Senior Machine Learning EngineerPoshmarkPosted on September 10, 2026---Experience4 - 6 yrsJob LocationChennai, IndiaVacancy1DesignationSenior Machine Learning EngineerJob TypeONSITE---## Job Description## Job SummaryPoshmark is a leading social marketplace for new and secondhand styles for women, men, kids, home, and more. By combining the human connection of physical shopping with the scale, ease, and selection benefits of ecommerce, Poshmark makes buying and selling simple, social, and fun.The Machine Learning team is a central player in the Poshmark organization. Our mission is to build a world-class machine learning platform to bring value out of data for us and for our customers. Our goal is to democratize data science and machine learning, support exploding business, and use machine learning to drive value across the chain (Search, personalization, fraud detection, catalog digitisation to name a few)## Key Responsibilities* Manage the entire **ML lifecycle** from data collection to deployment and monitoring* Collaborate across teams such as DS, QA, Infra and other engineering teams to productionize **ML models*** Write and optimize code for production environments, ensuring the robustness and reliability of **ML services** at scale* Manage and support current solutions while evolving them to incorporate newer technologies* Strong written, verbal, and presentation skills, with the ability to convey complex concepts in a clear and simple manner* Stay updated with the latest developments in **data science** and **machine learning**## Requirements* 4+ years of experience applying **Machine Learning** to concrete problems at large scale* Bachelors or Masters in **Computer Science, Statistics**, or related field* **Strong CS fundamentals**. Should be able to write algorithms with ease.* **Solid understanding of Data Science and ML fundamentals** – Regression, Classification, Tree-based approach, Neural network, and sequence-based models.* Working experience with at least one **ML model**: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.* Should have **excellent understanding of ML lifecycle*** Good understanding of system architecture. Have knowledge of **big data technologies** – streaming architecture, data pipelines, etc.* Experience with **Python, SQL, Java or Scala*** **Good to have:** + **Big data systems** – Spark, EMR, S3, AirFlow + Production experience with **LLMs** and **prompt engineering** + Experience with **Flask, FastAPI, RabbitMQ, Embeddings** and **Vector DBs**### Our Techstack* **Pytorch, Tensorflow, Sklearn*** **Flask, Fastapi, Gunicorn, Quarkus*** **MLFlow, Sagemaker, Kibana, Airflow, Databricks, Grafana, Datadog*** **Docker, Kubernetes, Jenkins*** **Redis, Redshift, MongoDB, Spark, Kafka, RabbitMQ, Milvus**## About the CompanyPoshmark is a leading social marketplace for new and secondhand style for women, men, kids, pets, home, and more. By combining the human connection of physical shopping with the scale, ease, and selection benefits of ecommerce, Poshmark makes buying and selling simple, social, and sustainable. Its community of more than 70 million registered users across the U.S., Canada, and Australia is driving the future of commerce while promoting more sustainable consumption. For more information, please visit www.poshmark.com, and for company news and announcements, please visit investors.poshmark.com. You can also find Poshmark on Instagram, Facebook, Twitter, Pinterest, and YouTube.