Machine Learning Engineer I

About The Team

It’s our way, or the AI way😜

Granted, our jokes can be a little cheesy. But we are also definitely speeding on a highway to enable 100 million small businesses to succeed online. We aim to do this by building intelligent systems for millions of our users looking at a thousand different categories of products. We’ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat.

Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation.

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 well-rounded personal and professional life. When we aren't 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.