Artificial Intelligence Engineer

About the Job: At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box to provide unique R&D and engineering services across all industries. Join us for a career full of opportunities where no two days are the same.

Your Role: We are looking for a highly skilled and experienced Senior AI Engineer to join our innovative team. The ideal candidate will have a proven track record in Natural Language Processing (NLP), Generative AI, Agentic AI, Computer Vision, and expertise in Large Language Models (LLMs) and Vision-Language Models (VLMs). You will design, develop, and deploy cutting-edge AI solutions addressing complex real-world challenges across various domains. Collaborate with cross-functional teams to drive innovation, optimize performance, and ensure seamless integration of AI systems into production environments.

Key Responsibilities:

• Design, train, and fine-tune advanced AI models, including LLMs, VLMs, and multi-modal architectures for NLP, Computer Vision, and Generative AI.
• Develop Generative AI applications using state-of-the-art models for creative content generation, knowledge synthesis, and autonomous task management.
• Leverage Agentic AI to create intelligent systems capable of reasoning, planning, and executing tasks in dynamic environments.
• Combine computer vision systems with NLP to build vision-language understanding models for real-world applications.
• Automate workflows for data preparation, model training, testing, and deployment using tools like Docker, Kubernetes, and CI/CD pipelines.

Qualifications:

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 5+ years of industry experience in AI/ML, with expertise in NLP, Generative AI, Computer Vision, and multi-modal AI systems.
• Strong proficiency in Python and experience building robust APIs using frameworks like FastAPI or Flask.
• Expertise in LLMs (e.g., GPT, BERT, T5) and VLMs (e.g., CLIP, BLIP).
• Hands-on experience with MLOps tools like MLflow, Kubeflow, or TensorFlow Extended (TFX).
• Proficiency with Deep Learning Frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
• Strong experience in deploying AI models on cloud platforms (AWS, GCP, Azure) and edge devices.
• Expertise in Edge AI frameworks like TensorFlow Lite, ONNX Runtime, or NVIDIA Jetson.
• Experience in IoT platforms and real-time AI applications leveraging sensor data.
• Familiarity with distributed computing tools like Apache Spark, Ray, or Dask.

Preferred Skills:

• Experience with reinforcement learning, agent-based AI systems, and autonomous decision-making frameworks.
• Strong knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
• Familiarity with big data technologies and real-time data processing pipelines.
• Demonstrated ability to implement and manage CI/CD pipelines for AI/ML workflows.
• Excellent problem-solving and debugging skills, with a focus on scalable, efficient solutions.
• Strong communication and collaboration skills, with experience working in cross-functional teams.

Language Requirements: Not specified.

What You’ll Love About Working Here: We recognize the significance of flexible work arrangements to provide support. Be it remote work or flexible work hours, you will get an environment to maintain a healthy work-life balance. At the heart of our mission is your career growth, with an array of career growth programs and diverse professions crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies.