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Introduction

The IBM Automation team is seeking a passionate and talented AI Engineer to push the boundaries of artificial intelligence. You will design, implement, and deploy advanced AI and autonomous agent solutions that enhance our cloud offerings, enabling smarter automation and significantly improving customer productivity. 

 

Collaborating closely with cross-functional teams, you will transform complex AI concepts into practical, real-world applications that deliver measurable value. 

Rôle et responsabilités
  • Design, develop, implement AI and Generative AI solutions to address business problems and achieve objectives. 
  • Gather, clean, and prepare large datasets to ensure readiness for AI model training 
  • Train, fine-tune, evaluate, and optimize AI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability. 
  • Seamlessly integrate AI models and autonomous agent solutions into cloud-based & on-prem products to drive smarter workflows and improved productivity. 
  • Develop reusable tools, libraries, and components that standardize and accelerate the development of AI solutions across the organization. 
  • Monitor and maintain deployed models, ensuring consistent performance and reliability in production environments 
  • Stay up to date with the latest AI/ML advancements, exploring new technologies, algorithms, and methodologies to enhance product capabilities. 
  • Effectively communicate technical concepts, research findings, and AI solution strategies to both technical and non-technical stakeholders. 
  • Understand the IBM tool and model landscape and work closely with cross-functional teams to leverage these tools, driving innovation and alignment. 
  • Lead and mentor team members to improve performance.  
  • Collaborate with operations, architects, and product teams to resolve issues and define product designs. 
  • Exercise best practices in agile development and software engineering.  Code, unit test, debug and perform integration tests of software components 
  • Participate in software design reviews, code reviews and project planning. 
  • Write and review documentation and technical blog posts. 
  • Contribute to department attainment of organizational objectives and high customer satisfaction 
Formation requise
Baccalauréat
Formation souhaitée
Baccalauréat
Expertise professionnelle et technique requise
  • Minimum 6 years of hands-on experience developing AI-based applications using Python. 
  • 2+ years in Performance testing, Reliability testing 
  • 2+ years of experience using deep learning frameworks (TensorFlow, PyTorch, or Keras)  
  • Solid understanding of ML/AI concepts: EDA, preprocessing, algorithm selection, machine learning frameworks, model efficiency metrics, model monitoring. 
  • Familiarity with Natural Language Processing (NLP) techniques.  
  • Deep understanding of Large Language Models (LLM) Architectures, their capabilities and limitations.  
  • Proven expertise in integrating and working with LLMs to build robust AI solutions. 
  • Skilled in crafting effective prompts to guide LLMs to provide desired outputs.  
  • Hands-on experience with LLM frameworks such as Langchain,Langraph,CrewAI etc.,  
  • Experience in LLM application development based on Retrieval-Augmented Generation (RAG) concept, familiarity with vector databases, and fine-tuning large language models (LLMs) to enhance performance and accuracy. 
  • Proficient in microservices development using Python (Django/Flask or similar technologies). 
  • Experience in Agile development methodologies 
  • Familiarity with platforms like Kubernetes and experience building on top of the native platforms 
  • Experience with cloud-based data platforms and services (e.g., IBM, AWS, Azure, Google Cloud). 
  • Experience designing, building, and maintaining data processing systems working in containerized environments (Docker, OpenShift, k8s) 
  • Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders
Expertise professionnelle et technique souhaitée
  • Experience in MLOPs frameworks (BentoML,Kubeflow or similar  technologies) and exposure to LLMOPs 
  • Experience in cost optimisation initiatives
  • Experience with end-to-end chatbot development, including design, deployment, and ongoing optimization, leveraging NLP and integrating with backend systems and APIs. 
  • Understanding of security and ethical best practices for data and model development 
  • Contributions to open source projects  

L'unité commerciale

Logiciels IBM insuffle de l'intelligence dans les opérations commerciales de base — de l'apprentissage machine à l'IA générative — pour aider à rendre les organisations plus réactives, plus productives et plus résilientes. Logiciels IBM aide les clients à mettre l'IA en action dès maintenant pour créer une valeur réelle avec confiance, rapidité et assurance dans les domaines du travail numérique, de l'automatisation informatique, de la modernisation des applications, de la sécurité et de la durabilité. La capacité d'utiliser toutes les données est essentielle à cet égard, car la valeur de l'IA dépend de la valeur des données qui l'alimentent. Dans la plupart des organisations, les données sont réparties sur plusieurs nuages, sur site, dans des centres de données privés et à la périphérie. La plateforme d'IA et de données d'IBM permet de faire évoluer et d'accélérer l'impact de l'IA avec des données fiables, et fournit des capacités de pointe pour former, ajuster et déployer l'IA dans l'ensemble d'une entreprise. La plateforme infonuagique hybride d'IBM est l'une des approches les plus complètes et les plus cohérentes en matière de développement, de sécurité et d'exploitation dans des environnements hybrides, ce qui constitue une base flexible pour tirer parti des données, où qu'elles se trouvent, afin de bien ancrer l'IA au sein d'une entreprise.

VOTRE VIE CHEZ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

 

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

 

Are you ready to be an IBMer?

À propos d'IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

 

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. 

 

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Autres détails pertinents sur le poste

When applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience. For additional information about location requirements, please discuss with the recruiter following submission of your application.