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About the role
We are looking for an experienced AI Solution Architect to lead end-to-end deployment of AI/ML solutions into production environments. The role will bridge data science, engineering, DevOps, and business teams to ensure scalable, secure, and high-performing AI implementations. Areas of Responsibility / Tasks: Design and architect scalable AI/ML deployment solutions. Translate AI models into production-ready systems. Lead end-to-end deployment including CI/CD, model packaging, APIs, and containerization. Work closely with Data Scientists to operationalize ML models. Implement MLOps best practices (model versioning, monitoring, retraining). Ensure performance optimization, security, and compliance. Manage cloud deployment on platforms like AWS, Azure, or GCP. Design API integrations and microservices architecture. Monitor deployed models for drift, latency, and reliability. Provide technical guidance to deployment and DevOps teams. Technical Skills Required: Strong experience in AI/ML model deployment. Hands-on experience with Python, REST APIs. Experience with Docker, Kubernetes, and container orchestration. Knowledge of MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI, etc.). Cloud expertise (AWS / Azure / GCP). Experience with CI/CD pipelines. Understanding of model monitoring and data drift detection. Knowledge of security and compliance standards. Preferred Skills: Experience in GenAI / LLM deployment. Exposure to prompt engineering and RAG architectures. Experience with enterprise AI integrations. Strong stakeholder communication skills. Soft Skills: Strong problem-solving mindset. Ability to work cross-functionally. Good communication and stakeholder management skills. Ownership-driven and solution-oriented. Behavioral Competencies: Strong analytical skills, attention to detail and excellent problem solving/troubleshooting skills. Excellent verbal and written communications skills. Highly driven, positive attitude, team player, self-learning, self-motivating and flexibility. Strong customer focus. Flair for creativity and innovation. Qualifications and Additional Requirements: B.Tech / M.Tech in Computer Science, AI, Data Science, or related field. Why Join Us At Landis+Gyr, you'll be part of a mission-driven company shaping a more sustainable energy future. We empower our people to grow and thrive in a diverse, inclusive, and innovative environment. What we offer: Competitive salary and region-specific benefits. Comprehensive development programs including mentorship and training. A global culture that values collaboration, innovation, and continuous learning. Join us and help create a smarter, greener tomorrow.
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