Yektanet is Hiring a Machine Learning (ML) Engineer to join our dynamic and innovative team. You will help us build and deploy scalable machine learning models using big data and distributed systems. These models will improve our products, optimize our services and impact our core business metrics. As an ML Engineer, you will work closely with our engineering teams to identify and solve various challenging problems using machine learning. You will also be responsible for developing, maintaining and optimizing the machine learning models and MLOps infrastructure of Yektanet.

Responsibilities:

 Build scalable and distributed pipelines for data preparation, feature engineering, and model training at scale using technologies like Spark.
Develop, improve, and deploy scalable machine learning models to drive core product capabilities and business values.
Optimize models for real-time serving (less than 5ms latency).
Set up and maintain MLOps infrastructure for, data pipelines, feature store, experiment tracking, model deployment, serving and monitoring.
Collaborate with cross-functional teams, including data engineers, software engineers, and other stakeholders to identify and execute on ML opportunities across Yektanet's products and services.
Required Skills:

2+ years experience building and deploying machine learning systems at scale.
Expertise in Python and developing large-scale data pipelines (e.g. using Spark).
Experience with common ML libraries including scikit-learn, pandas, Spark MLlib, and PyTorch/Tensorflow.
Ability to iterate quickly and adapt models based on business and product needs.
Ability to serve models using various technologies including flask, gRPC and TensorFlow/PyTorch serving.
Strong foundation in machine learning fundamentals and ability to understand model internals, performance, and continued improvement opportunities.
Bonus Skills:

Experience with stream processing of big data.
Experience with low-latency machine learning serving techniques.
Experience with MLOps and DevOps practices and tools.