AI Architect

As a Senior AI Architect at Dharampal Satyapal Limited, your role will involve defining, developing, and implementing AI/ML solutions at an enterprise scale. With 6-10 years of experience, you will need to leverage your expertise in AI/ML technologies, architecture design, and MLOps to align AI initiatives with business goals. Key Responsibilities: - Work on the AI/ML architecture roadmap aligned with organizational strategy, ensuring scalability, reliability, and security. - Architect and develop AI solutions including data pipelines, model development, deployment, monitoring, and governance. - Lead the implementation of MLOps frameworks for CI/CD, model registry, reproducibility, drift detection, and lifecycle management. - Evaluate and select suitable AI/ML frameworks, tools, and cloud platforms while ensuring optimal technology usage. - Collaborate with data engineering, product, and business teams to identify AI adoption opportunities and design scalable solutions. - Provide technical leadership and mentorship to ML engineers, data scientists, and developers. - Ensure compliance with data security, ethical AI, and regulatory standards in AI system design. - Drive innovation by staying updated on emerging AI research, trends, and best practices. Qualifications Required: - 6-10 years of relevant experience in AI/ML engineering, data science, or AI solution architecture. - Strong proficiency in Python and familiarity with enterprise-grade programming practices. - Deep expertise in ML/DL frameworks like TensorFlow, PyTorch, and scikit-learn. - Proven experience in architecting and deploying AI solutions on cloud platforms such as AWS SageMaker, GCP Vertex AI, and Azure ML. - Solid understanding of data engineering, distributed systems, API/microservices-based architectures, and big data tools like Spark, Kafka, and Hadoop. - Knowledge of statistics, probability, linear algebra, optimization, and algorithm design. - Experience in designing systems with observability, fault tolerance, scalability, and cost-efficiency. - Bachelor's or Master's degree in Computer Science, Engineering, or related field. Soft Skills & Qualities: - Strategic thinker with the ability to connect business goals with AI capabilities. - Strong development and mentoring skills to guide cross-functional teams effectively. - Excellent communication and storytelling skills to engage both technical and non-technical stakeholders. - Growth mindset and passion for driving innovation in AI. - Ethical and responsible application of AI technologies. In addition to technical skills and qualifications, it is preferred that you have experience with enterprise AI governance frameworks, hands-on expertise with containerization (Docker, Kubernetes), and contributions to open-source AI projects. Familiarity with GenAI and applied use cases in enterprises would be advantageous for this role.,