AIML Engineer

About the company

Geekhunter is hiring on behalf of our client a global data & AI consulting company with strong presence in Europe Asia and the US.

We are looking for an experienced AI/ML Engineer to design build and deploy scalable AI solutions for business and enterprise use cases. This role combines hands-on engineering technical consulting cloud architecture and client-facing collaboration to deliver impactful AI initiatives across Machine Learning LLMs and Generative AI.

Key Responsibilities

Solution Engineering

• Design implement and deploy pragmatic AI solutions (Machine Learning LLMs Generative AI) tailored to client business needs.

• Develop scalable and production-ready AI systems aligned with business objectives.

Technical Consulting

• Act as a technical advisor to client stakeholders.

• Translate business requirements into scalable technical architectures and AI solutions.

• Guide clients on AI best practices architecture decisions and implementation strategies.

Prototyping & Production

• Build and validate Proof of Concepts (PoCs).

• Transition prototypes into secure maintainable and production-ready environments.

• Ensure solution performance scalability and reliability.

Architecture & Infrastructure

• Design robust AI infrastructure using cloud-native services such as AWS Azure or GCP.

• Build and optimize modern data pipelines and AI deployment architectures.

Collaboration

• Work closely with Data Scientists Project Managers and Strategy Consultants to ensure successful delivery of AI initiatives.

• Support cross-functional collaboration throughout project execution.

Mentorship

• Lead technical workstreams and mentor junior engineers.

• Promote engineering best practices coding standards and MLOps principles.

Key Responsibilities

Experience

• Minimum 3 years of experience in Software Engineering Data Science or AI/ML development.

Core Programming

• Strong proficiency in Python and SQL.

• Experience with Java C or is a plus.

AI/ML Frameworks

• Hands-on experience with TensorFlow PyTorch or HuggingFace.

Generative AI

• Experience working with LLMs prompt engineering fine-tuning and vector embeddings.

Cloud Platforms

• Proven experience deploying AI solutions on AWS GCP or Azure.

Tools & DevOps

• Proficiency with Git Docker Kubernetes and MLOps practices.

• Understanding of CI/CD pipelines for machine learning deployment.

Data Engineering

• Experience building and managing ETL/ELT pipelines.

• Familiarity with SQL NoSQL and Graph database architectures.

Qualification & Soft Skills

Education

• Bachelor’s or Master’s degree in Computer Science Data Science Engineering or related STEM fields.

Communication

• Fluent in English and the local regional language (German or French).

• Strong ability to communicate complex technical concepts to non-technical stakeholders.

Mindset

• Builder mindset with the agility to work in a fast-paced and client-facing consulting environment.

Consulting Experience

• Previous experience in a consulting or professional services company is highly preferred.

Required Skills:

Machine Learning LLMs Generative AI Technical consulting Cloud architecture Client-facing collaboration Solution Engineering Python SQL Java C TensorFlow PyTorch HuggingFace Prompt engineering Fine-tuning Vector embeddings AWS GCP Azure Git Docker Kubernetes MLOps CI/CD pipelines ETL/ELT pipelines Data engineering SQL (Databases) NoSQL (Databases) Graph database architectures Communication Cross-functional collaboration Mentorship Consulting