Key Responsibilities: • Design, develop, and deploy machine learning models and generative AI solutions for smart manufacturing and Industry 4.0 applications. • Collaborate with cross-functional teams to understand business requirements and translate them into innovative AI solutions. ***INTERNAL*** • Implement and optimize algorithms for real-time data processing and analysis. • Utilize data analytics to drive decision-making and improve manufacturing processes. • Ensure scalability, performance, and reliability of AI systems. • Stay current with the latest advancements in AI, machine learning, generative AI, and industry trends. • Troubleshoot and resolve issues related to AI models and data processing.
Required Skills and Qualifications: • Education: Bachelor’s degree in computer science, Engineering, or a related field. • Experience: 2 to 5 years in machine learning, generative AI, and data analytics. • Technical Expertise: o Strong hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. o Proficiency in programming languages such as Python or Java. o Experience with data analytics and processing tools such as Pandas, NumPy, and SǪL. o Knowledge of smart manufacturing processes and Industry 4.0 principles. O
Experience with cloud platforms like AWS, GCP, or Azure. o Proficiency in generative AI frameworks such as LangChain or similar. • Problem-Solving: Ability to troubleshoot complex AI issues and provide effective solutions. • Collaboration: Excellent communication skills and ability to work effectively in a team environment. • Innovation: Enthusiastic about staying up to date with the latest technologies and industry trends. Preferred Qualifications: •
Experience with edge computing and IoT devices. • Familiarity with big data technologies such as Hadoop or Spark. • Understanding of data governance and compliance requirements
