The Company
Wizeline is a global digital services company helping mid-size to Fortune 500 companies build, scale, and deliver high-quality digital products and services. We thrive in solving our customer’s challenges through human-centered experiences, digital core modernization, and intelligence everywhere (AI/ML and data). We help them succeed in building digital capabilities that bring technology to the core of their business.
Are You a Fit?
To be successful in this role, you need:
- 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
- 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.
About us
Wizeline prioritizes a culture of diversity and development for its nearly 2,000 person team spread across the globe. We believe great technology comes from a mix of talents and perspectives. Our core values of ownership, innovation, community, and inclusivity are central to our work. Wizeline is invested in its employees' growth, offering opportunities to create personalized career paths and develop in-demand skills. We even have a free education program, Wizeline Academy, to help both employees and the broader community upskill in tech.
Apply now!
