Senior AI Platform Engineer

Senior AI Platform Engineer

Lokation: København, Danmark (Hybrid: 60% on-site)

Klassificering: Fortrolig | Fuldtid

Kompensation: Konkurrencedygtig grundløn + STI (Short-Term Incentive) & LTI (Long-Term Incentive)

Sponsorship: Ikke tilgængeligt

Om stillingen

Vores klient er en førende global biofarmaceutisk virksomhed, hvor AI og analyse-teknologi er mere end blot værktøjer – de er selve motoren bag R&D og de kommercielle forretningsenheder, der arbejder for at redde liv og bringe innovative behandlinger til patienter verden over.

Som Senior AI Platform Engineer bliver du en nøgleperson i det nyoprettede team, AI & Analytics Platform Engineering & Standards. Teamet vokser hurtigt for at imødekomme forretningens behov for intern, realtids-teknologisk innovation. Du vil løse komplekse arkitektoniske udfordringer for at levere en skalerbar, sikker og robust udviklerplatform.

Din mission

Du efterlever filosofien om, at "god platform engineering sjældent ses, men altid mærkes." Du er en teknisk stærk og "hands-on" profil, der trives med at bygge kernefunktioner i et automatiserings-først miljø. Du vil drive selvbetjeningsløsninger (self-service) og optimere "developer experience" for interne datascientists og ML-ingeniører.

Primære ansvarsområder

• Platformsinnovation: Bidrage til opbygningen af AI/ML-platforme, tjenester og værktøjer, der accelererer modeltræning og deployment på tværs af organisationen.

• Arkitektonisk lederskab: Designe platformskapaciteter til både batch- og realtids-workflows med fleksible deployment-strategier (f.eks. low-latency prædiktioner).

• Infrastructure as Code (IaC): Fremme brugen af Terraform/CDK og GitOps-processer til at bygge og skalere cloud-baseret infrastruktur.

• Tværfagligt samarbejde: Arbejde tæt sammen med "spoke"-teams og de fundamentale cloud-teams for at sikre platformens driftseffektivitet, sikkerhed og pålidelighed.

• Performance-optimering: Forbedre platformens ydeevne, reducere manuel indgriben, skalere compute-ressourcer (CPU/GPU) og øge effektiviteten af deployments.

Faglige kvalifikationer

• Uddannelse: Bachelor eller Master i et kvantitativt fag (f.eks. Computer Science, Engineering, Data Science, Matematik eller Statistik).

• Erfaring: 5+ års professionel erfaring, herunder dokumenteret erfaring med opbygning af AI/ML- eller analyseplatforme.

• Cloud-ekspertise: Dybtgående kendskab til AWS-økosystemet (særligt SageMaker og relaterede AI-tjenester).

• Værktøjer og automatisering: * Stærke kompetencer inden for IaC (Terraform, OpenTofu eller Pulumi) og CI/CD (GitHub Actions).

  • Erfaring med containerisering (Docker/Podman) og orkestrering (Kubernetes/Rancher).

• Programmering: Flydende i Python, Spark og SQL, samt erfaring med frameworks som PyTorch eller TensorFlow.

Foretrukne kompetencer (Bonus)

• Brancheerfaring: Tidligere erfaring fra pharma- eller biotek-sektoren.

• Systemprogrammering: Kendskab til statisk typede sprog som Go, Rust, Java eller C++.

• Distribueret computing: Erfaring med Ray, Dask eller high-performance computing (HPC) miljøer.

• Dataplatforme: Kendskab til Databricks, Snowflake eller Lake Formation (Delta Lake/Iceberg).

• Hardware: Erfaring med multi-GPU infrastruktur og CUDA-fundamentaler.

Hvorfor vælge denne stilling?

• Impact: Dit arbejde har direkte indflydelse på udviklingen af medicin, der gør en forskel for patienter globalt.

• Kultur: Du bliver en del af et agilt team, der værdsætter personlig og karrieremæssig udvikling i et højteknologisk miljø.

• Modern Stack: Mulighed for at arbejde med de nyeste teknologier inden for GitOps, realtids-streaming og GenAI-infrastruktur.

Location: Copenhagen, Denmark (Hybrid Remote: 60% On-site)

Compensation: 825,000 – 1,035,000 DKK Base + STI & LTI + Full Benefits

Sponsorship: Not available

Overview:

Join a dynamic team at the forefront of AI and analytics innovation, where your efforts will directly impact research and development as well as commercial operations. As a Senior AI Platform Engineer, you will play a crucial role in a rapidly expanding team, dedicated to building a high-performance infrastructure that empowers data scientists and machine learning researchers to deliver groundbreaking solutions.

Key Responsibilities:

• Platform Development: Create and enhance core components of an AI/ML platform to facilitate model training, inference, and deployment.
• Architectural Design: Develop systems for real-time and batch processing workflows, ensuring scalability and robustness.
• Infrastructure Automation: Lead the integration of Infrastructure as Code (IaC) using tools like Terraform and GitOps to streamline cloud infrastructure management.
• Cross-Functional Collaboration: Serve as a liaison between core cloud teams and specialized AI units to maintain a reliable and compliant platform.
• Performance Optimization: Enhance system performance and scalability while minimizing operational costs through automation.

Technical Requirements:

• Education: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
• Experience: Over 5 years in engineering roles with a focus on AI/ML or data platform development.
• Cloud Expertise: Extensive experience with AWS, particularly SageMaker and related AI services.
• Automation Tools: Proficiency in Infrastructure as Code tools such as Terraform, OpenTofu, or Pulumi.
• DevOps Skills: Expertise in CI/CD processes using GitHub Actions or Jenkins, and container orchestration with Kubernetes or Rancher.
• Programming Languages: Proficient in Python, Spark, and SQL.
• Machine Learning Frameworks: Experience with PyTorch or TensorFlow.

Preferred Qualifications:

• Industry Experience: Experience in pharmaceutical, biotech, or other regulated sectors.
• Systems Programming: Proficiency in languages like Go, Rust, Java, or C++.
• Distributed Computing: Familiarity with tools like Ray, Dask, or high-performance clusters such as Slurm.
• Data Architecture: Knowledge of platforms like Databricks, Snowflake, or Lake Formation.
• Hardware Optimization: Experience with multi-GPU setups and CUDA basics.

This is an excellent opportunity for a seasoned engineer who values the impact of seamless platform engineering in driving innovation and efficiency. If you are passionate about shaping the future of AI platforms, we invite you to apply.