Állás részletei
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Cég neve
SnapSoft Informatikai és Szolgáltató Kft.
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Munkavégzés helye
Budapest -
Egyéb juttatások
- Egészségbiztosítás
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Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
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Elvárt technológiák
- CLOUD PYTHON AWS AZURE PANDAS SQL MACHINE LEARNING
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Biztosított eszközök
- Laptop
- MacOS
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Elvárások
- Angol középfok
- Nem kell tapasztalat
- Főiskola
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Leading a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
Providing mentoring and technical support to junior and medium teammates
Acting as a trusted advisor to clients
Developing highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models)
Implementing various machine learning solutions addressing computer vision and NLP use cases
Working with Large Language Models (LLMs) and performing prompt engineering tasks
Designing and implementing data transformation services for various use cases such as automatic translation and transcription, Text2SQL, and intent and gesture recognition
Designing, building, and maintaining robust and scalable data pipelines for extracting, transforming, and loading (ETL) data from various sources
Using AWS cloud to implement AI/ML solutions (e.g. Bedrock, Sagemaker, Lambda, Textract)
Understanding customers’ business problems and providing technology consulting to identify the best-fit solution
Owning the end-to-end solution as a key decision-maker and driving the delivery team
Describing infrastructures using Terraform (Terragrunt) or AWS CloudFormation
Designing, building and maintaining CI/CD pipelines in multiple integration and test environments
Staying up-to-date with AWS innovations and achieving Professional/Specialty level certifications based on personal interest
Contributing to AWS Competency and Service Delivery Program to support SnapSoft’s AWS Partner journey
Providing mentoring and technical support to junior and medium teammates
Acting as a trusted advisor to clients
Developing highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models)
Implementing various machine learning solutions addressing computer vision and NLP use cases
Working with Large Language Models (LLMs) and performing prompt engineering tasks
Designing and implementing data transformation services for various use cases such as automatic translation and transcription, Text2SQL, and intent and gesture recognition
Designing, building, and maintaining robust and scalable data pipelines for extracting, transforming, and loading (ETL) data from various sources
Using AWS cloud to implement AI/ML solutions (e.g. Bedrock, Sagemaker, Lambda, Textract)
Understanding customers’ business problems and providing technology consulting to identify the best-fit solution
Owning the end-to-end solution as a key decision-maker and driving the delivery team
Describing infrastructures using Terraform (Terragrunt) or AWS CloudFormation
Designing, building and maintaining CI/CD pipelines in multiple integration and test environments
Staying up-to-date with AWS innovations and achieving Professional/Specialty level certifications based on personal interest
Contributing to AWS Competency and Service Delivery Program to support SnapSoft’s AWS Partner journey
Requirements
Bachelor's degree in Computer Science, Information Technology, or a related field
Multiple years of experience developing data or AI solutions preferably in AWS cloud environment
Experience with technologies such as SageMaker, Bedrock, Glue, MWAA, EMR, RDS, Aurora, S3, OpenSearch, ElasticSearch
Strong proficiency in Python and experience with relevant frameworks and libraries such as pandas, pyspark, numpy, sklearn, matplotlib
Familiarity with SQL
Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their services
Familiarity with AI/ML technologies (e.g., Computer Vision, NLP, anomaly detection)
Understanding AI tools and concepts like LLMs, ChatGPT, RAG
Excellent problem-solving and communication skills
Strong communication and collaboration skills with ability to work effectively in a team environment
Multiple years of experience developing data or AI solutions preferably in AWS cloud environment
Experience with technologies such as SageMaker, Bedrock, Glue, MWAA, EMR, RDS, Aurora, S3, OpenSearch, ElasticSearch
Strong proficiency in Python and experience with relevant frameworks and libraries such as pandas, pyspark, numpy, sklearn, matplotlib
Familiarity with SQL
Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their services
Familiarity with AI/ML technologies (e.g., Computer Vision, NLP, anomaly detection)
Understanding AI tools and concepts like LLMs, ChatGPT, RAG
Excellent problem-solving and communication skills
Strong communication and collaboration skills with ability to work effectively in a team environment
Nice-to-have
AWS Professional/Specialty Certification
What we offer
Company culture based on autonomy and accountability
Flexible working hours
Office with great location in Budapest, nearby Deak Ferenc Square / Astoria
Macbook for efficient daily tasks
Company-sponsored technical trainings
Company-sponsored trips to relevant professional conferences
Medicover Health Insurance
AYCM SportPass contribution, yoga at the office, SnapSoft football
Regular cocktail parties, team buildings, annual all staff 3-day summer retreat
Book club and SnapSoft library
Board game club and regular board game evenings
Flexible working hours
Office with great location in Budapest, nearby Deak Ferenc Square / Astoria
Macbook for efficient daily tasks
Company-sponsored technical trainings
Company-sponsored trips to relevant professional conferences
Medicover Health Insurance
AYCM SportPass contribution, yoga at the office, SnapSoft football
Regular cocktail parties, team buildings, annual all staff 3-day summer retreat
Book club and SnapSoft library
Board game club and regular board game evenings
Company info
SnapSoft is a company focused on delivering data engineering and AI solutions across various projects. The company operates with a highly qualified engineering team and aims to become the AWS Partner of Choice in Central and Eastern Europe.
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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