AI Decision Science Analyst - Automotive & Industrial Sector

Role Overview: We are seeking a Data Scientist / AI Specialist with 1-3 years of experience to be part of our team and contribute to client projects in the Automotive & Industrial sectors. Your role will involve utilizing traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. While prior experience in the Auto/Industrial industry is beneficial, candidates from any domain with a strong analytical mindset and a passion for leveraging AI in real-world business challenges are encouraged to apply. Key Responsibilities: - Develop, deploy, and monitor AI/ML models in production environments & enterprise systems, encompassing predictive analytics, anomaly detection, and process optimization for clients. - Utilize Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for diverse applications such as content generation, automated documentation, code synthesis, and intelligent assistants. - Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems tailored for industrial applications. - Design and construct Autonomous AI solutions targeting tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). - Handle structured and unstructured data from various sources like IoT sensors, manufacturing logs, and customer interactions. - Optimize and fine-tune Large Language Models (LLMs) for specific business applications, ensuring ethical and explainable AI use. - Employ MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. - Collaborate with cross-functional teams, comprising engineers, business analysts, and domain experts, to align AI solutions with business objectives. - Stay abreast of cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Qualifications Required: - Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities. - Minimum 1-3 years of relevant experience in Data Science, Machine Learning, or AI-related roles. - Exposure to Industrial & Automotive Firms or Professional Services is advantageous. Role Overview: We are seeking a Data Scientist / AI Specialist with 1-3 years of experience to be part of our team and contribute to client projects in the Automotive & Industrial sectors. Your role will involve utilizing traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. While prior experience in the Auto/Industrial industry is beneficial, candidates from any domain with a strong analytical mindset and a passion for leveraging AI in real-world business challenges are encouraged to apply. Key Responsibilities: - Develop, deploy, and monitor AI/ML models in production environments & enterprise systems, encompassing predictive analytics, anomaly detection, and process optimization for clients. - Utilize Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for diverse applications such as content generation, automated documentation, code synthesis, and intelligent assistants. - Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems tailored for industrial applications. - Design and construct Autonomous AI solutions targeting tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). - Handle structured and unstructured data from various sources like IoT sensors, manufacturing logs, and customer interactions. - Optimize and fine-tune Large Language Models (LLMs) for specific business applications, ensuring ethical and explainable AI use. - Employ MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. - Collaborate with cross-functional teams, comprising engineers, business analysts, and domain experts, to align AI solutions with business objectives. - Stay abreast of cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Qualifications Required: - Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities. - Minimum 1-3 years of relevant experience in Data Science, Machine Learning, or AI-related roles. - Exposure to Industrial & Automotive Firms or Professional Services is advantageous.