AI/ML Senior Engineer

Omega Solutions Inc

2h•Remote

About The Position

The AI/ML Senior Engineer leads the design, development, and operation of enterprise-grade AI/ML, LLMOps, payment processing, and analytics solutions. The role works with cross-functional engineering, product, and data science teams to translate stakeholder requirements into scalable architectures and define user journeys, data contracts, technical documentation, and integrations across web, mobile, backend, and payment systems. The position architects platforms across AWS and GCP, develops secure LLMOps pipelines and GenAI applications, and builds microservices and real-time or batch data pipelines. It also designs payment processing workflows and integrations, supports fraud detection and transaction analytics, and applies security, DevSecOps, testing, observability, and regulatory compliance practices. The engineer mentors technical colleagues and leads initiatives in GenAI innovation, payment modernization, observability, and Responsible AI. This is a remote position.

Nice To Haves

Hands-on experience integrating payment gateways such as Stripe, Adyen, Worldpay, PayPal, Braintree, or similar platforms.
Strong understanding of the payment lifecycle, transaction processing, authorization, settlement, refunds, chargebacks, and reconciliation.
Experience with payment APIs, webhooks, tokenization, fraud detection, and PCI DSS compliance.

Responsibilities

Lead Agile ceremonies, including Sprint Planning, Grooming, and Estimation, with cross-functional teams.
Gather, analyze, and translate business requirements into scalable technical architectures aligned with enterprise goals.
Define user journeys, data contracts, redline documents, and cross-platform integration requirements across web, mobile, backend, and payment systems.
Architect enterprise-grade AI/ML platforms across AWS and GCP to support the full ML lifecycle.
Design and implement scalable payment processing solutions integrated with payment gateways, APIs, and third-party financial service providers.
Develop payment workflows for authorization, capture, settlement, refunds, voids, recurring payments, and transaction reconciliation.
Build reliable and scalable payment integrations using REST APIs, webhooks, tokenization, and secure transaction processing.
Ensure payment security and compliance with standards such as PCI DSS, including encryption, fraud prevention, and transaction monitoring.
Apply AI/ML to payment fraud detection, anomaly detection, transaction risk assessment, and payment analytics.
Build production-ready LLMOps pipelines for preprocessing, RAG, fine-tuning, evaluation, deployment, and monitoring.
Deploy and optimize large language models using AWS Bedrock, GCP Vertex AI, and custom APIs.
Integrate vector databases and frameworks to support contextualized GenAI applications.
Design and implement GenAI and payment processing microservices using Python and Node.js, deployed through ECS Fargate and GKE.
Build and operate real-time and batch data pipelines for analytics, payment processing, and ML workflows.
Integrate and govern data lakes and federated marts to support self-service analytics and compliance needs.
Implement and manage CI/CD pipelines for model deployment and containerized workflows.
Use Infrastructure as Code tools to provision and manage scalable cloud resources.
Apply DevSecOps practices, including IAM, VPC segmentation, KMS, and compliance automation, to meet regulatory requirements.
Conduct unit, integration, load, and payment transaction testing, and monitor production performance.
Establish model observability and monitoring frameworks to track performance, drift, and data quality.
Mentor junior architects, ML engineers, and developers in MLOps, LLM architecture, payment integrations, and secure cloud deployments.
Maintain technical documentation, including architecture diagrams, SOPs, API specifications, and Confluence articles.
Lead initiatives in GenAI innovation, payment technology modernization, observability tooling, and Responsible AI governance while ensuring security and compliance.