career.io

AI Platform Tech Lead

career.io

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇱🇹 Lithuania

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Salary

💰 €4,000 - €7,000 per month

Job Level

Senior

Tech Stack

AWSCloudKubernetes

About the role

  • Own the architecture and technical direction of AI platforms, ensuring scalability, security, and reliability.
  • Define and enforce MLOps standards using SageMaker Projects, Pipelines, Registry, blue/green and shadow deployments, monitoring, drift detection, and rollback strategies.
  • Ensure secure and compliant data access using IAM least privilege, KMS, and Lake Formation sharing patterns.
  • Oversee CI/CD pipelines and cloud infrastructure to support AI workloads.
  • Collaborate with Product Owners, Data Governance teams, and stakeholders to align platform capabilities with business objectives.
  • Drive adoption of best practices for cloud architecture, deployment, and operational excellence.
  • Mentor and lead technical teams in agile environments, fostering strong collaboration and technical growth.

Requirements

  • Strong experience in cloud architecture, particularly AWS and Kubernetes.
  • Expertise with AWS Bedrock and MLOps strategies, including SageMaker Studio Domains, Pipelines, and Endpoints.
  • Deep understanding of data plane patterns, including Lake Formation, Glue, Athena, S3 layouts/partitions, and cross-account data sharing.
  • Knowledge of security and compliance practices for AI platforms.
  • Experience designing and managing CI/CD pipelines for production ML systems.
  • Proven stakeholder management and communication skills.
  • Experience leading agile teams and driving technical initiatives.
  • Ability to translate business requirements into scalable, secure AI platform solutions.
  • Strong problem-solving, decision-making, and mentoring abilities.
  • Willingness and readiness to travel as required by project or client needs is expected.
Benefits
  • Learning opportunities with compensated certificates, learning lunches, and language lessons.
  • Chance to switch projects after one year.
  • Team building twice a year.
  • Office in Vilnius, Lithuania that offers themed lunches and a pet-friendly environment.
  • Remote work opportunities.
  • Flexible time off depending on a project.
  • Seasonal activities with colleagues.
  • Additional health insurance and loyalty days for Lithuanian residents.
  • Referral bonuses.
  • Recognition of important occasions of your life.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
cloud architectureAWSKubernetesMLOpsSageMakerCI/CD pipelinesdata plane patternsLake FormationGlueAthena
Soft skills
stakeholder managementcommunication skillsleadershipmentoringproblem-solvingdecision-makingcollaborationagile methodologiestechnical growthbusiness requirements translation
career.io

Machine Learning Engineer, AI Engineer – Cloud Focus

career.io
Mid · Seniorfull-time$3k–$5k🇱🇹 Lithuania
Posted: 2 hours agoSource: litit.recruitee.com
Amazon RedshiftAWSCloudDockerKubernetesPythonPyTorchTensorflow