Applied engineer Artificial Intelligence(AI)

Key Responsibilities: Design, build, and deploy AI/ML models and solutions for enterprise digital transformation projects. Apply advanced machine learning, natural language processing (NLP), computer vision, and generative AI techniques to real-world business use cases. Collaborate with data scientists, engineers, and product teams to integrate AI solutions into applications and platforms. Develop data pipelines, preprocessing workflows, and ensure data quality for AI/ML models. Optimize model performance, scalability, and reliability in production environments. Evaluate and implement state-of-the-art AI research into practical solutions. Work with cloud AI services (AWS, Azure, GCP) to deploy and manage AI workloads. Ensure compliance with enterprise AI governance, security, and ethical guidelines. Document processes, create reusable assets, and provide knowledge transfer to teams.

Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field. Proven hands-on experience in AI/ML model development and deployment. Strong programming skills in Python, R, or Java, with experience in ML/AI libraries (TensorFlow, PyTorch, Scikit-learn).Experience with NLP, computer vision, deep learning, or generative AI models. Knowledge of cloud-based AI platforms (AWS SageMaker, Azure AI, Google AI/Vertex AI).Solid understanding of data engineering, feature engineering, and MLOps practices. Strong problem-solving, analytical thinking, and communication skills.

Preferred Skills: Familiarity with reinforcement learning, LLMs (Large Language Models), and transformer-based architectures. Experience with AI solution integration into digital platforms (ERP, CRM, customer experience systems).Certifications in AI/ML, cloud AI services, or related technologies.