AI / ML Engineer

About the Role:

We are hiring AI/ML Engineers to design, develop and optimize machine learning models and AI pipelines that power advanced analytics, risk intelligence and automation.

Key Responsibilities:

• Model Development: Build and optimize ML models for predictive analytics, anomaly detection and NLP tasks.
• Data Engineering: Work with largescale structured/unstructured financial datasets, ensuring data quality and compliance.
• Deployment: Implement scalable ML pipelines on cloud platforms (Azure, AWS, GCP).
• Collaboration: Partner with business, risk, and compliance teams to translate requirements into AI solutions.
• Continuous Improvement: Monitor model performance, retrain, and finetune for accuracy and efficiency.

Core Skillset:

• Strong programming skills in Python, R, SQL, PySpark.
• Experience with ML frameworks (TensorFlow, PyTorch, ScikitLearn).
• Handson with data pipelines (ETL, ADF, Databricks).
• Knowledge of NLP, computer vision, and timeseries modeling.
• Familiarity with datasets (trading, risk, compliance).

Good to Have:

• Exposure to MLOps tools (MLflow, Kubeflow, Airflow).
• Understanding of regulatory reporting requirements in capital markets.
• Experience with BI tools (Power BI, Tableau) for model visualization.