Senior 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 5 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:

Python SQL Machine Learning Artificial Intelligence Generative AI LLM Large Language Models Prompt Engineering Fine Tuning Vector Embeddings TensorFlow PyTorch HuggingFace AWS GCP Azure Cloud Computing AI Solution Architecture MLOps CI/CD Docker Kubernetes Git ETL ELT Data Pipeline NoSQL Graph Database Software Engineering AI Deployment Technical Consulting Solution Engineering Production AI Systems NLP Data Engineering API Integration Scalable Architecture Client Facing English Communication