AI Architect (Senior Manager/ Manager)

Role Overview: As an AI Architect with 6-10 years of experience, you will be responsible for defining, developing, and implementing AI/ML solutions at an enterprise scale. Your role will involve deep expertise in AI/ML technologies, architecture design, and MLOps, along with the ability to align AI initiatives with business objectives. 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 to ensure optimal technology use. - 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 such as TensorFlow, PyTorch, and scikit-learn. - Proven experience in architecting and deploying AI solutions on cloud platforms like AWS SageMaker, GCP Vertex AI, and Azure ML. - Solid understanding of data engineering, distributed systems, and API/microservices-based architectures. - Knowledge of big data tools like Spark, Kafka, Hadoop, and data pipeline orchestration. - Strong grounding in 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 a related field. Additional Company Details: The company is DS Group, a part of Dharampal Satyapal Limited in the corporate department of Information Technology, specifically focusing on Data Analytics. (Note: The section "Skills" has been omitted as it mainly lists the technical skills mentioned in the qualifications required section),