Job
Description
As a Gen AI Architect at Techvantage Analytics, you will play a crucial role in designing and implementing cutting-edge AI solutions leveraging the latest advancements in artificial intelligence and data science. Your responsibilities will include developing robust architectures for generative AI solutions, building and fine-tuning advanced generative models, integrating modern AI frameworks, implementing data strategies, overseeing the deployment of scalable AI systems, ensuring ethical compliance, staying updated with the latest AI trends, collaborating with cross-functional teams, mentoring junior AI practitioners, and monitoring model performance. Key Responsibilities: - Develop robust architectures for generative AI solutions, utilizing foundation models, large language models (LLMs), and multimodal AI. - Build and fine-tune advanced generative models like GPT-based models, diffusion models, and transformers for text, image, video, and audio generation. - Integrate modern AI frameworks such as LangChain and LlamaIndex to enhance generative models in production environments. - Implement data strategies including synthetic data generation, federated learning, and secure data sharing protocols for effective model training. - Design and oversee the deployment of scalable AI systems using technologies like MLOps pipelines, Docker, Kubernetes, and serverless architectures. - Ensure AI models comply with ethical guidelines, responsible AI principles, fairness, transparency, and bias mitigation. - Stay updated with the latest AI trends and apply them to real-world problems. - Collaborate with cross-functional teams to align AI systems with business goals. - Provide guidance and mentorship to junior AI practitioners. - Define KPIs for model performance, monitor systems in production, and implement mechanisms for continuous improvement and retraining. Qualifications Required: - Bachelors, Masters, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or related fields. - 5+ years of experience in AI/ML, focusing on generative AI technologies. - Proven expertise in deploying large-scale generative models like GPT-4, Stable Diffusion, DALL-E in production. - Hands-on experience with PyTorch, TensorFlow, Hugging Face Transformers for AI/ML frameworks. - Strong knowledge of LLM fine-tuning, zero-shot learning, and multimodal AI. - Proficiency in Python, R, or Julia for data science and AI model development. - Expertise in cloud-native AI solutions using AWS SageMaker, Google Vertex AI, Azure Machine Learning. - Familiarity with synthetic data creation, federated learning, privacy-preserving AI. - Hands-on experience with MLOps practices, monitoring tools like MLflow, Kubeflow. - Knowledge of real-time AI applications using edge computing, IoT. - Ability to conceptualize innovative solutions using the latest AI technologies. - Advanced analytical skills to troubleshoot complex AI challenges. - Effective in dynamic, fast-paced environments with emerging technologies. - Proven track record of working within cross-functional, geographically distributed teams. - Commitment to developing high-quality, reliable AI systems. As a Gen AI Architect at Techvantage Analytics, you will play a crucial role in designing and implementing cutting-edge AI solutions leveraging the latest advancements in artificial intelligence and data science. Your responsibilities will include developing robust architectures for generative AI solutions, building and fine-tuning advanced generative models, integrating modern AI frameworks, implementing data strategies, overseeing the deployment of scalable AI systems, ensuring ethical compliance, staying updated with the latest AI trends, collaborating with cross-functional teams, mentoring junior AI practitioners, and monitoring model performance. Key Responsibilities: - Develop robust architectures for generative AI solutions, utilizing foundation models, large language models (LLMs), and multimodal AI. - Build and fine-tune advanced generative models like GPT-based models, diffusion models, and transformers for text, image, video, and audio generation. - Integrate modern AI frameworks such as LangChain and LlamaIndex to enhance generative models in production environments. - Implement data strategies including synthetic data generation, federated learning, and secure data sharing protocols for effective model training. - Design and oversee the deployment of scalable AI systems using technologies like MLOps pipelines, Docker, Kubernetes, and serverless architectures. - Ensure AI models comply with ethical guidelines, responsible AI principles, fairness, transparency, and bias mitigation. - Stay updated with the latest AI trends and apply them to real-world problems. - Collaborate with cross-functional teams to align AI systems with business goals. - Provide guidance and mentorship to junior AI practitioners. - Define KPIs for model performance, monitor systems in production, and im
