01 Zakres zadań

Implementing MLOps, Gen AI Ops and Agentic AI Ops for AI use cases in the GFCP area
Building and operating ML/GenAI pipelines using AWS SageMaker and Bedrock
Provisioning and managing AWS cloud resources using Terraform (Infrastructure as Code)
Integrating and orchestrating a broad range of AWS services across the ML lifecycle
Setting up monitoring, logging and observability for models and AI agents
Working closely with the team to keep the pace needed to deliver on program objectives within agreed timelines

02 Wymagania

12 must-have · 2 języki

Must-have

MLOps

Ekspert

Gen AI Ops

Ekspert

Agentic AI Ops

Ekspert

Terraform

Zaawansowany

AWS

Zaawansowany

AWS SageMaker

Zaawansowany

AWS Bedrock

Zaawansowany

AWS Glue

Zaawansowany

AWS S3

Zaawansowany

AWS VPC

Zaawansowany

AWS Step Functions

Zaawansowany

AWS IAM

Zaawansowany

Wymagane języki

Polski

Ekspert

Angielski

Zaawansowany

03 Profil kandydata

Good hands-on experience with AWS SageMaker and Bedrock services
Experience working with multiple AWS services – Glue, Glue Catalog, S3, VPC, Step Functions, IAM, X-Ray, Knowledge Base, CloudWatch, CloudTrail, SNS, EventBridge, Lambda, EC2, ECS, Fargate, KMS, MLflow, Athena, etc.
Experience provisioning AWS cloud resources using Terraform
Collaborative, achieves goals through communication and teamwork in Agile setup (SAFe Framework)

04 Benefity

Budżet szkoleniowy

05 O firmie

Jit Team

500-1000 · Warszawa

We provide complete software development teams, who will take complex care of your software. We are experienced in building teams uniquely suited to the specific needs of our clients. One team - a range of skills, diverse personalities, and various approaches.

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