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Engaged Employer

Meesho

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3.7

based on 1.7k Reviews

Video summary

175 Meesho Jobs

Machine Learning Engineer I

Meesho

3.7

based on 1.7k Reviews

1-2 years

Bangalore / Bengaluru

1 vacancy

Machine Learning Engineer I

Meesho

posted 3mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Python Machine Learning Medical Insurance GCP Data Processing

+ 2 more

Job Description

As Machine Learning Engineer, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users. You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market.

But wait - there s more to us. Our team is huge on having a we'll-rounded personal and professional life. When we arent nose-deep in data, you will most likely find us belting Summer of 69 at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us

About the Role

Love playing with codes? Emerging technologies get you all excited? Then you will fit right in with our Machine Learning team.

We are seeking a passionate and skilled Machine Learning Engineer with 1-2 years of experience to join our team. The ideal candidate will have a strong background in real-time serving, deep learning inference, big data handling, and data streaming pipelines. You will work closely with data scientists, software engineers, and other stakeholders to deploy and manage machine learning models in production.

What you will do

Design, implement, and optimize real-time feature and inference serving systems.
Ensure low-latency, high-availability, scalable solutions for feature extraction and serving and model deployment.
Deploy and optimize deep learning models for real-time and batch inference.
Work with frameworks such as TensorFlow, PyTorch, and ONNX for efficient model deployment.
Process and manage large-scale datasets to support machine learning workflows via frameworks such as Apache Spark.
Develop and maintain data pipelines for efficient data ingestion, transformation, and storage.
Build and maintain robust data streaming pipelines using tools like Apache Kafka, Apache Flink, or Apache Spark.
Enable real-time data processing and analytics to support dynamic and scalable machine learning systems.
Collaborate with data scientists to transition machine learning models from development to production.
Work with software engineers to integrate machine learning solutions into existing systems and applications.
Monitor model performance and ensure the reliability and scalability of machine learning systems.
Continuously optimize system performance and resource utilization.

What you will need

Bachelor s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
1-2 years of experience in machine learning engineering or a related role.
Proficiency in programming languages such as Python, Java, or Go.
Experience with machine learning frameworks like TensorFlow, PyTorch, or Keras
Knowledge of big data technologies such as Hadoop, Spark, or Dask.
Familiarity with data streaming tools like Apache Kafka, Apache Flink, or Apache Storm.
Experience with real-time ML systems.
Strong problem-solving abilities and attention to detail.
Excellent communication and collaboration skills.
Familiarity with cloud platforms (GCP) is a plus.