IT Deployment Specialist

As a candidate for this role, you will be responsible for the following key responsibilities: - Research and develop cutting-edge Generative AI solutions such as LLMs and Diffusion Models. - Build and optimize AI/ML algorithms for real-world applications. - Implement MLOps pipelines for model deployment, monitoring, and lifecycle management. - Collaborate with cross-functional teams to integrate AI solutions into enterprise systems. - Stay ahead of emerging trends in AI/ML and contribute to innovation strategies. - Conduct training sessions and workshops for R&D researchers on Generative AI and AI/ML best practices. - Mentor and guide the team on AI developments, trends, and implementation strategies. In terms of qualifications and skills required for this role, you should possess: - Education: BE / Master's in Computer Science. - 48 years of experience in IT. - Strong expertise in Generative AI frameworks such as GPT and Stable Diffusion. - Proficiency in Python, ML frameworks like TensorFlow and PyTorch, and MLOps tools. - Hands-on experience with Vector Databases like Qdrant, PostgreSQL, and other vector DB. - Solid understanding of data pipelines, cloud platforms like Azure, and CI/CD for ML models. - Excellent problem-solving and analytical skills. As a candidate for this role, you will be responsible for the following key responsibilities: - Research and develop cutting-edge Generative AI solutions such as LLMs and Diffusion Models. - Build and optimize AI/ML algorithms for real-world applications. - Implement MLOps pipelines for model deployment, monitoring, and lifecycle management. - Collaborate with cross-functional teams to integrate AI solutions into enterprise systems. - Stay ahead of emerging trends in AI/ML and contribute to innovation strategies. - Conduct training sessions and workshops for R&D researchers on Generative AI and AI/ML best practices. - Mentor and guide the team on AI developments, trends, and implementation strategies. In terms of qualifications and skills required for this role, you should possess: - Education: BE / Master's in Computer Science. - 48 years of experience in IT. - Strong expertise in Generative AI frameworks such as GPT and Stable Diffusion. - Proficiency in Python, ML frameworks like TensorFlow and PyTorch, and MLOps tools. - Hands-on experience with Vector Databases like Qdrant, PostgreSQL, and other vector DB. - Solid understanding of data pipelines, cloud platforms like Azure, and CI/CD for ML models. - Excellent problem-solving and analytical skills.