GenAI & Production ML Engineer, Flexible Hybrid

Ex; Dublin; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Bonus

Private healthcare

Life insurance

Income protection

Pension

Hybrid work model

Job summary

EXL is seeking an experienced Machine Learning Engineer to join our Dublin team. You will design, build, and operate ML and GenAI systems that power client solutions, working with product, engineering, and stakeholders to translate needs into production-ready models.

The role emphasizes MLOps, model evaluation, responsible AI, and cloud deployment (AWS SageMaker/Bedrock). You will mentor juniors and help set engineering standards while delivering measurable business value.

Qualifications

• Minimum 5 years of software or data engineering experience, with at least 3 years building and deploying machine learning models in production.
• Strong programming skills in Python and hands-on experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow.
• Practical experience building GenAI/LLM applications: prompt engineering, RAG pipelines, embeddings, vector databases, and LLM APIs (OpenAI, Anthropic, Bedrock).
• Experience deploying and operating models on AWS (SageMaker, Bedrock, Lambda, ECS/EKS) and related services.
• Working knowledge of MLOps tooling: MLflow, Weights & Biases, model registries, pipelines (Airflow/Kubeflow/Step Functions).
• Strong data skills: SQL, Airflow; relational and NoSQL stores; exposure to Spark is a plus.
• Experience exposing models as REST/GraphQL services; CI/CD; testing; monitoring for drift.

Responsibilities

• Design, build, and deploy ML models and GenAI solutions from framing to production deployment.
• Develop end-to-end ML pipelines (data ingestion, feature engineering, training, evaluation, deployment, retraining).
• Build and productionize GenAI apps: LLM integration, embeddings, RAG pipelines, vector stores, and agentic workflows.
• Fine-tune, evaluate, and optimize models for accuracy, latency, and cost.
• Deploy and operate models on AWS (SageMaker, Bedrock, Lambda, ECS/EKS).
• Implement MLOps: experiment tracking, versioning, CI/CD, automated testing, drift monitoring.
• Work with large datasets; design data pipelines; build robust feature stores.
• Establish evaluation frameworks for traditional models and LLM-based systems.
• Embed responsible AI: bias, explainability, privacy, security.
• Collaborate with product teams to translate requirements into ML solutions with measurable impact.
• Write clean, well-tested production code; participate in design/reviews.
• Build proofs-of-concept and scale successful experiments to production.
• Mentor junior engineers and data scientists on ML engineering best practices.
• Stay current with ML/GenAI trends and adopt new models/frameworks as needed.

Skills

Python

ML engineering

GenAI applications

REST APIs

SQL

Airflow

Tools

scikit-learn

PyTorch

TensorFlow

Airflow

Kubeflow

SageMaker

Bedrock

OpenAI API

Docker

Kubernetes

MLflow

Weights & Biases

Job description

EXL is seeking an experienced Machine Learning Engineer to join our Dublin team. You will design, build, and operate ML and GenAI systems that power client solutions, working with product, engineering, and stakeholders to translate needs into production-ready models.

The role emphasizes MLOps, model evaluation, responsible AI, and cloud deployment (AWS SageMaker/Bedrock). You will mentor juniors and help set engineering standards while delivering measurable business value.