Senior Infrastructure Engineer - AI/ML

Given our continued growth, we always have room for more intellect, energy, and enthusiasm - join our global team and see why it's so special to be a part of Mitratech!

Job Overview

We are seeking a highly skilled Senior Software Engineer specializing in Machine Learning, with a focus on Natural Language Processing (NLP), to join our dynamic team. The ideal candidate will play a pivotal role in understanding business objectives and leveraging machine learning models to meet these goals effectively. This position requires a blend of expertise in data science and software engineering, along with a passion for staying at the forefront of machine learning advancements.

Responsibilities

• Design, deploy, and maintainscalable and secure infrastructuresupporting AI and ML workloads.

• Build and maintainAWS cloud environmentsfor compute (EC2, ECS/EKS, Lambda), storage (S3, EFS, FSx), and networking (VPC, Transit Gateway, PrivateLink, Route 53, load balancers).

• Implementsecurity best practicesusing IAM, KMS, Secrets Manager, GuardDuty, and Security Hub.

• Support and optimizeAI/ML workloadsacross AWS services (SageMaker, Bedrock, Batch, Step Functions).

• Develop and maintainInfrastructure as Code (IaC)using Terraform, AWS CDK, and CloudFormation.

• Managecontainerized workloadsand orchestration platforms (Docker, EKS, Fargate), including GPU scheduling and scaling.

• Set up and maintainmonitoring and observabilityframeworks using CloudWatch and OpenTelemetry.

• Build and manageCI/CD pipelines(CircleCI, GitHub Actions, GitLab CI) for infrastructure automation and ML/Gen AI deployments.

• Collaborate withML and Generative AI teamsto scale models, optimize performance, and design efficient prompt or inference pipelines.

• DeveloprunbooksandSOPsfor AI service deployment, troubleshooting, and performance optimization.

• Ensuresecurity, compliance, and data protectionacross AI datasets and environments.

Required Skills & Experience

• Strong proficiency inLinux administrationand systems-level troubleshooting.

• Deep expertise inAWS cloud services, with experience in compute, storage, networking, and security domains.

• Proficiency incontainer orchestration(Kubernetes/EKS) andinfrastructure automationtools.

• Hands-on experience withIaC toolssuch as Terraform, AWS CDK, or CloudFormation.

• Familiarity withmonitoring, logging, and observabilitystacks (Prometheus, Grafana, OpenTelemetry).

• Experience implementingCI/CD pipelinesfor automated deployment and testing.

• Understanding ofAI/ML concepts, including model deployment, inference scaling, and LLM performance tuning.

• Working knowledge ofsecurity best practices, IAM roles, encryption, and compliance controls.

• Excellentcollaboration and communicationskills to partner with ML engineers, data scientists, and product teams.

Education:

• A Master’s degree in Machine Learning, Computer Science with a preference for specialization in the NLP domain.

We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.