Job Summary

We're seeking a passionate and skilled Machine Learning Engineer to join our growing team in Hyderabad. You'll play a key role in designing, developing, and deploying scalable ML solutions in Capital Markets. This is a fantastic opportunity to work with cutting-edge technologies and contribute to impactful projects in a collaborative, innovation-driven environment.

Responsibilities

Design and implement robust machine learning models using modern frameworks and libraries.
Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions.
Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT.
Build and manage ML pipelines using MLflow, Kubeflow, and AWS ML pipelines.
Work with large-scale data using PySpark and integrate models into production environments.
Monitor model performance and retrain as needed to ensure accuracy and efficiency.
Collaborate with cross-functional teams to integrate AI solutions into scalable products
Ensure best practices in data engineering and contribute to architectural decisions
Contribute to the mentoring and development of junior team members.
Support senior team members in identifying and addressing data science opportunities.

Skills Must have

Python
TensorFlow, Keras, PyTorch
pandas, NumPy, scikit-learn
XGBoost, LightGBM, CatBoost
ONNX, TensorRT, TensorFlow Serving, TorchServe
MLflow, Kubeflow, Azure ML Pipelines
PySpark
Git
Proficiencies in data cleansing, exploratory data analysis, and data visualization

Nice to have

Previous experience in Capital Markets software development projects

ML Engineer

Job Description

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