Top AI & Machine Learning Jobs

The Generative AI Engineer will define strategies for Generative AI, design and build innovative products, and mentor engineers, focusing on AI transformation for financial services clients.

The Data Scientist leads analytics initiatives for credit card portfolios, utilizing statistical models and machine learning to drive business growth and optimize risk management.

The AI Architect will design scalable AI architectures, develop monitoring mechanisms, ensure compliance, create RAG pipelines, and collaborate with stakeholders.

Design and implement Generative AI solutions to improve operational efficiency. Collaborate with teams to identify opportunities and ensure data governance.

Design, prototype, and productionize generative AI solutions (LLMs, RAG, agents). Build scalable backend services and APIs, deploy on cloud (AWS/Azure/GCP), collaborate cross-functionally, and support knowledge sharing and mentoring.

Design, prototype, and deploy generative AI solutions (LLMs, RAG, agents) across the full lifecycle. Build scalable backend services and APIs, deploy models in cloud (AWS/Azure/GCP), collaborate with cross-functional teams, and support knowledge sharing and mentoring.

Design, build, and operate scalable AWS cloud infrastructure and CI/CD for AI/ML platforms. Implement IaC (Terraform/CloudFormation), container orchestration (Docker, Kubernetes/EKS), monitoring, security, and observability while collaborating with AI and data teams to enable model deployment and MLOps workflows.

Design, build, train, and deploy AI/GenAI models (NLP and computer vision). Move research models into production via APIs/microservices/cloud, optimize performance, handle large datasets, and collaborate with data scientists and engineers to align solutions with business objectives.

As an ML Engineer, you will design, experiment, and deploy AI/ML models, evaluate their performance, and leverage Python and SQL.

Lead AI-driven data and analytics programmes in financial services, mentoring teams and ensuring delivery of measurable outcomes.