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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.
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 AI tools to optimize and augment day‑to‑day work, providing recommendations on effective AI use and streamlining 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 determined by employment type and location)
Find out more about our culture here.
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