ML Engineer
Summary
The Machine Learning Engineer will design, develop, and deploy scalable ML models for Capital Markets applications using Python, PySpark, and various ML frameworks. The role involves managing the full ML lifecycle, including pipeline development, model optimization, and production integration.
Project description
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
- Key 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
- Strong proficiency in Python and ML libraries such as:
- pandas, NumPy, scikit-learn
- XGBoost, LightGBM, CatBoost
- TensorFlow, Keras, PyTorch
- Experience with model deployment and serving tools:
- ONNX, TensorRT, TensorFlow Serving, TorchServe
- Familiarity with ML lifecycle tools:
- MLflow, Kubeflow, Azure ML Pipelines
- Experience working with distributed data processing using PySpark.
- 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 work experience in industry, with a minimum of 2+ years in a similar role.
- 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