Cloud AI Engineer

Commencis; Fatih; Hybrid; TRY 150,000 - 300,000; Full time

Job summary

A leading technology firm in Turkey is seeking a Cloud AI Engineer to design and deliver AI/ML projects on AWS. This role requires a solid background in cloud technologies and collaboration with various stakeholders. Ideal candidates will have a degree in Computer Science and familiarity with AI applications. The position offers competitive benefits and a flexible work environment.

Benefits

Private health insurance

Pension and retirement plans

Paid birthday off

Flexible working hours

Qualifications

• Up to 2 years of similar job experience.
• Experience with relational and NoSQL databases.
• Knowledge of other cloud providers is an advantage.

Responsibilities

• Design and implement cloud-native AI/ML services.
• Deploy and maintain AI applications on cloud architectures.
• Collaborate with stakeholders to deliver solutions.

Skills

Proficiency in Unix/Linux environments

Experience in Gen AI/ML applications

Code development in Python

Fluent in English

Understanding of LLM systems

Education

BS/MS degree in Computer Science/Computer Engineering or related field

Tools

Amazon Bedrock

SageMaker basics

Python

GoLang

Job description

Overview

Cloud AI Engineer to join our team. The role focuses on designing and delivering AI/ML projects on AWS Cloud by translating clients’ business use cases into integrated, secure, and cost-effective solutions. The Cloud AI Engineer collaborates with developers, security experts, solutions architects, and other stakeholders.

If you are curious by nature, adaptive, collaborative, and always one step ahead, then join us and be a Commencer!

Responsibilities

• Design, implement, and operate cloud-native AI/ML services that are secure, reliable, and cost-efficient, ensuring they meet business objectives and SLA requirements.
• Deploy and maintain AI applications on cloud architectures.
• Build retrieval-augmented generation (RAG) stacks: embeddings, vector stores, chunking, and evaluation.
• Create MLOps foundations: experiment tracking, model registry, CI/CD for data & models, and Infrastructure-as-Code.
• Investigate new techniques, tools, and methods to increase efficiency across engineering, technology, and cloud teams; lead execution of topics evaluated for roll-out.
• Collaborate with technical leaders and business stakeholders to align constraints and deliver solutions for projects/products/initiatives.
• Be accountable for the reliability and security of cloud infrastructure and services.
• Provide visibility of performance, cost, and security of cloud infrastructure and services.
• Drive continuous improvement, continuous delivery, and lean practices within the cloud team.
• Stay up to date on modern technologies and advocate their inclusion when appropriate.
• Identify emerging technology solutions that reduce costs, increase efficiencies, enhance capabilities, reduce risk, and improve security.
• Ensure cloud technology applications create a positive customer experience.

Qualifications

• BS/MS degree in Computer Science/Computer Engineering or related field
• Up to 2 years of similar job experience
• Proficiency in Unix/Linux environments
• Experience in Gen AI/ML applications, security, compute, containerization, data, application integration, cost optimization, performance enhancement on cloud platforms
• Understanding of LLM systems: tokenization/embeddings, context management, guardrails, offline/online evaluation, and cloud architecture design
• Familiarity with Amazon Bedrock (Claude/Titan/Cohere) for inference and SageMaker basics (training/inference endpoints)
• Code development in Python, GoLang
• Fluent in written and spoken English, in addition to Turkish

Nice to have

• Knowledge of other cloud providers (Azure, GCP, Alibaba Cloud)
• AWS certifications like GenAI Practitioner, Machine Learning Engineer – Associate, Data Engineer – Associate, Machine Learning – Specialty
• Experience with relational and NoSQL databases, vector databases, and feature stores (e.g., MySQL, PostgreSQL, DynamoDB, Pinecone, Weaviate, Feast)
• FinOps practices and cost/performance tuning for LLM inference (throughput, latency, caching)
• Experience with SageMaker Projects/Experiments/Model Registry and SageMaker Pipelines; ability to fine-tune open-source models using PEFT/LoRA/QLoRA and deploy via Real-time/Serverless/Async endpoints
• Knowledge of managed AI services (Textract, Comprehend, Transcribe, Rekognition, Kendra) and build vs buy considerations relative to Bedrock/SageMaker

Why Commencis?

We want people to thrive at Commencis. Here’s what Commencers like about working here:

Competitive Compensation & Benefits: We offer a competitive salary, private health insurance, pension and retirement plans, meal card, commute compensation, work-from-home support, and a paid birthday off.

Happier Weekdays: Flexible working hours, including remote options. Online events, guest speakers, office refreshments, a meeting-light culture, and more perks.

Never Stop Learning: We support learning and development programs and provide access to platforms like Udemy and other resources.

Community & Socials: A tight-knit community with activities such as happy hours, workshops, parties, and social events.

Open Culture: Flat organizational structure with direct and open communication; we value employee voices and feedback.

About Commencis

Join us in paving the way for a thriving digital society. Commencis has over two decades of experience in experience design, software engineering, and cloud technologies, serving leading brands across more than 20 countries.

We help clients advance their evolution with a collaborative, curious, and open mindset. If you share this passion, unleash your world-class potential with us!

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