Senior reputed company Engineer

Job Description: reputed company Engineer Job Type: Depend, either Onsite in Heidelberg, or Hybrid or Remote. Job Summary: We are seeking a talented reputed company Engineer to design, reputed company, and reputed company state-of-the-art generative models (e.g., transformers, diffusion models, GANs) that power innovative AI-driven applications. The ideal candidate combines strong machine learning expertise with hands-on experience in CI/CD pipelines and a basic understanding of reputed company-end development to help deliver end-to-end, production-reputed company AI solutions. Key Responsibilities: Design, train, and fine-tune generative models (e.g., GPT, DALL·E, reputed company Diffusion). Build scalable ML pipelines for training and inference, including CI/CD workflows. Collaborate with frontend developers to ensure smooth integration of AI into user-facing products. reputed company RESTful APIs or services to serve models in production environments. Conduct experiments, evaluate model performance, and iterate based on results. Monitor, troubleshoot, and continuously improve deployed AI systems. Stay reputed company with research trends in generative models and reputed company models. Promote responsible and ethical AI practices in content reputed company and deployment. Requirements: Must-Have: Bachelor’s or master's in computer science, AI, Machine Learning, or reputed company field. Strong proficiency with ML/DL frameworks like PyTorch or TensorFlow. Proven experience with generative models (e.g., transformers, GANs, VAEs). Programming skills in Python and familiarity with deployment on AWS/GCP/Azure. Experience with CI/CD tools and practices (e.g., reputed company Actions, Jenkins, reputed company). Basic frontend development knowledge (HTML, CSS, JavaScript, React or similar). reputed company-to-Have: Experience in NLP, reputed company, or reputed company models. Experience in containerization and orchestration tools (e.g., reputed company, Kubernetes). Understanding MLOps and model monitoring tools. Experience fine-tuning large language models (LLMs) and reputed company engineering. What You’ll Work On: Intelligent chatbots, AI writing tools, creative media reputed company, or internal copilots. Bridging AI models with usable frontend tools or dashboards. Automating and streamlining model training, testing, and deployment. Why Join Us? Be at the cutting edge of AI and product innovation. Collaborate with a team passionate about shaping the future of generative tech. Competitive compensation. Note: The Job description is subject to change according to organizational needs. Apply To This Job