Markovate - Solution Architect - Artificial Intelligence/Machine Learning

Job Description We are seeking an AI Solution Architect to lead the design and implementation of AI-driven solutions that align with business objectives and deliver scalable, high-performance results. This role requires deep expertise in AI/ML, solution architecture, and cloud deployment while collaborating with clients, developers, and stakeholders to drive AI innovation. Required Skills 12+ years in software development, with 8+ years in AI/ML solution architecture. Expertise in AI/ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn). Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI model deployment at scale. Experience with data pipelines, big data technologies (Hadoop, Spark, Kafka), and cloud orchestration tools. Strong programming skills in Python, with hands-on experience in ML model training, evaluation, and optimization. Familiarity with DevOps for AI (CI/CD pipelines, MLOps best practices). Strong leadership, communication, and problem-solving skills, with a proactive and collaborative mindset. Key Responsibilities Architect and implement AI-powered solutions in machine learning, NLP, and computer vision to solve complex business challenges. Lead the AI solution lifecycle from concept to deployment, ensuring scalability, performance, and efficiency. Design end-to-end AI architectures, including data pipelines, model selection, deployment, and monitoring strategies. Integrate AI models into production environments, optimizing for performance, accuracy, and business impact. Evaluate and recommend AI tools, frameworks, and technologies for various projects. Mentor and guide AI engineers and data scientists, fostering best practices in AI development. Collaborate with cross-functional teams (data engineers, business analysts, UI/UX designers) to deliver AI-driven products. Ensure compliance with AI ethics, security, and governance while staying updated with the latest AI advancements. Communicate technical solutions effectively to both technical and non-technical stakeholders. Preferred Qualifications Experience with supervised/unsupervised learning, reinforcement learning, and deep learning. Understanding of international AI compliance, security, and governance standards. Ability to navigate complex technical challenges and drive AI innovation in real-world applications. Bachelor's/Master's degree in Computer Science, AI, or related fields. (ref:hirist.tech) Show more Show less