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Hybrid Senior AI/ML Solutions Engineer

at Finastra
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Posted 2 weeks ago

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About the role

  • Design, develop, and deploy scalable machine learning models to solve complex business problems in the financial services domain.
  • Collaborate with data scientists, data engineers, and business stakeholders to understand requirements and translate them into technical solutions.
  • Build and maintain ML pipelines for data preprocessing, model training, evaluation, and deployment using MLOps best practices.
  • Conduct exploratory data analysis and feature engineering to improve model performance and interpretability.
  • Monitor model performance in production and implement retraining strategies to ensure accuracy and relevance over time.
  • Contribute to the development of AI-driven products and services, including fraud detection, credit scoring, customer segmentation, and predictive analytics.
  • Ensure compliance with data privacy, security, and regulatory standards (e.g., GDPR, Fair Lending).
  • Document model development processes, assumptions, and performance metrics for transparency and audit readiness.
  • Stay current with advancements in AI/ML technologies and recommend innovative solutions to enhance business capabilities.

Requirements

  • 3 + years of experience in machine learning, data science, or AI engineering.
  • 5+ years’ experience supporting global data governance and data management initiatives, preferably in the banking, fintech or other highly regulated industries.
  • Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost.
  • Strong understanding of supervised and unsupervised learning, model evaluation techniques, and statistical analysis.
  • Experience with cloud platforms (e.g., Azure ML, AWS SageMaker, or GCP AI Platform) and containerization tools (e.g., Docker, Kubernetes).
  • Familiarity with MLOps tools and practices for versioning, CI/CD, and model monitoring.
  • Experience working with large-scale datasets and distributed data processing frameworks (e.g., Spark, Databricks).
  • Knowledge of financial services use cases and key performance indicators (e.g., risk modeling, transaction classification, customer behavior analytics).
  • Excellent problem-solving and communication skills, with the ability to explain complex models to non-technical stakeholders.

Benefits

  • Flexibility: Enjoy unlimited vacation, based on your location and business priorities.
  • Hybrid working arrangements, and inclusive policies such as paid time off for voting, bereavement, and sick leave.
  • Well-being: Access Confidential one-on-one therapy through our Employee Assistance Program, find support from our network of Wellbeing Champions and Gather Groups, and a calendar of monthly events and initiatives designed to help you thrive - Inside and Outside of work.
  • Medical, life & disability insurance, retirement plan, lifestyle and other benefits*
  • ESG: Benefit from paid time off for volunteering and donation matching.
  • DEI: Participate in multiple DE&I groups for open involvement (e.g., Count Me In, Culture@Finastra, Proud@Finastra, Disabilities@Finastra, Women@Finastra).
  • Career Development: Access online learning and accredited courses through our Skills & Career Navigator tool.
  • Recognition : Be part of our global recognition program, Finastra Celebrates, and contribute to regular employee surveys to help shape Finastra and foster a culture where everyone is engaged and empowered to perform at their best.

Job title

Senior AI/ML Solutions Engineer

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchScikit-LearnSparkTensorflow

Location requirements

HybridBengaluruIndia

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