Generative AI Engineer

5 days ago

Vijayawada, India Adamas Tech Consulting Full time

Location: Bangalore Experience: 7+ Years Employment Type: Full-timeRole OverviewWe are seeking an experienced Generative AI & Computer Vision Engineer to design, develop, and deploy advanced AI solutions involving image/video understanding, generative models, and deep learning architectures. The role requires strong hands-on expertise in computer vision pipelines and modern generative AI frameworks, working closely with product, data, and engineering teams.Key ResponsibilitiesDesign and implement computer vision models for image/video classification, detection, segmentation, and tracking.Develop and fine-tune Generative AI models including GANs, Diffusion Models, and Vision-Language Models (VLMs).Build end-to-end ML pipelines from data ingestion to model deployment and monitoring.Optimize models for performance, scalability, and latency in production environments.Work with large-scale image and video datasets, performing data preprocessing, augmentation, and labeling strategies.Integrate AI models with applications using REST APIs / microservices.Collaborate with cross-functional teams to translate business problems into AI-driven solutions.Stay updated with the latest research and industry trends in Generative AI and Computer Vision.Mandatory Skills7+ years of experience in Machine Learning / Deep Learning.Strong hands-on experience in Computer Vision using OpenCV, TensorFlow, PyTorch.Experience with CNNs, ResNet, EfficientNet, YOLO, Faster R-CNN, Mask R-CNN.Hands-on experience with Generative AI models such as GANs, Diffusion Models (Stable Diffusion, DALL·E), VAEs.Strong programming skills in Python.Experience with model training, fine-tuning, and evaluation.Solid understanding of linear algebra, probability, and optimization.Nice to Have SkillsExperience with Vision-Language Models (CLIP, BLIP).Exposure to LLMs integration for multimodal AI solutions.Experience deploying models on cloud platforms (AWS/GCP/Azure).Knowledge of MLOps tools (MLflow, Kubeflow, Airflow).Experience with edge AI or real-time inference systems.EducationBachelor’s or Master’s degree in Computer Science, AI, ML, Data Science, or related field.

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