Senior AI Engineer

Description

Summary: This role involves designing, building, and deploying advanced AI/ML and Generative AI solutions on AWS, focusing on leveraging data and AI to drive business transformation. Highlights: 1. Develop cutting-edge, AI-powered digital products and platforms 2. Culture of growth, collaboration, and impact 3. Flexible and Collaborative Culture **We are:** ----------- Wizeline, a global AI\-native technology solutions provider, develops cutting\-edge, **AI\-powered** digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of **growth, collaboration,** and **impact.** **With the right people and the right ideas, there's no limit to what we can achieve** **Are you a fit?** ------------------ Sounds awesome, right? Now, let's make sure you're a good fit for the role: ***Key Responsibilities*** * Deep knowledge of AI and ML frameworks, with a focus on NLP, predictive modeling, data analysis, and generative AI. * Design, build, and deploy advanced Machine Learning and Generative AI solutions on AWS Bedrock, with emphasis on Large Language Models (LLMs), AI Agents, Retrieval\-Augmented Generation (RAG), and large\-scale search. * Integrate and optimize foundation models on AWS Bedrock for enterprise use cases, ensuring scalability, security, and compliance in dedicated AWS environments. * Collaborate with data scientists, data engineers, and product teams to transform complex problems into cloud\-native, production\-ready AI solutions on AWS. * Run experiments, explore novel algorithms, and leverage AWS Generative AI and Bedrock capabilities to maximize performance, user experience, and business outcomes. * Ensure the adoption of ethical and responsible AI practices across all solutions. ***Must\-have Skills*** * 5\+ years of hands\-on experience in AI/ML development and deployment. * Strong expertise in Generative AI, LLMs, AI Agents, and RAG architectures. * Proven experience designing and deploying solutions on AWS Bedrock. * Strong programming skills in Python * Experience in cloud\-native architectures and enterprise\-scale solutions. * Familiarity with data pipelines, vector databases, and large\-scale search systems. * Demonstrated ability to collaborate with cross\-functional teams (scientists, engineers, product managers). * Commitment to responsible and ethical AI practices. ***Nice\-to\-Have Skills*** * **AI Tooling Proficiency**: Leverage one or more AI tools to optimize and augment day\-to\-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows. * Experience with LangChain, llama\-index, or similar orchestration frameworks for RAG/LLM pipelines. * Knowledge of multi\-cloud or hybrid cloud environments. * Exposure to MLOps best practices (CI/CD for ML, monitoring, observability). * Familiarity with security and compliance frameworks in regulated industries * Advanced degree (MSc/PhD) in Computer Science, Machine Learning, or related field. **What we offer:** ------------------ * A High\-Impact Environment * Commitment to Professional Development * Flexible and Collaborative Culture * Global Opportunities * Vibrant Community * Total Rewards * *Specific benefits are determined by the employment type and location.* Find out more about our culture here.