Overview

Project description

Responsibilities

• 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.
• 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.

Qualifications

• Strong proficiency in Python and ML libraries such as:
• pandas, NumPy, scikit-learn
• XGBoost, LightGBM, CatBoost
• TensorFlow, Keras, PyTorch
• ONNX, TensorRT, TensorFlow Serving, TorchServe
• Familiarity with ML lifecycle tools:
• MLflow, Kubeflow, Azure ML Pipelines
• Solid understanding of software engineering principles and version control (e.g., Git).
• Excellent problem-solving skills and ability to work independently or in a team.
• Typically, 6+ years of relevant
• Proficiencies in data cleansing, exploratory data analysis, and data visualization
• Continuous learner that stays abreast with industry knowledge and technology

Nice to have

• Previous experience in Capital Markets software development projects