
Lead AI Engineer
24 hours ago
Job Description
main responsibilities of the Lead AI Engineer
Lead AI Engineer
Lead AI Engineer
- Lead a team of AI engineers, and DevOps/MLOps specialists to design, develop, and optimize Gen AI architectures tailored to specific use cases and business requirements.
- Collaborate with data scientists to drive the end-to-end implementation of GenAI models, including training, fine-tuning, and deployment.
- Deliver end-to-end GenAI and LLM applications for our key transformation projects across the region and international business.
- Execute the GenAI and LLM strategy including people, technology, methodologies, platforms, and processes.
- Collaborate with platform teams and solution architects to evolve our big data platforms and evaluate various GenAI and LLM technologies and services.
- Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.
What would make you a fit for the role:
- Bachelor's or Master's degree in Data Science, Machine Learning, Operational Research, Computer Science, Engineering or a related field.
- 6 years of experience in AI/ML engineering, proven track record of leading AI/ML projects from conception to deployment, experience with generative AI models and techniques, with at least 3 years in a managerial or lead role.
- Solid experience building machine learning model development
- Proven track record in designing and building GenAI solutions, with a strong expertise in prompt engineering, LlamaIndex, Langchain, RAG, AI red teaming libraries, LLM monitoring and evaluation.
- Monitor and manage the lifecycle of deployed models, ensuring they meet performance and reliability standards.
- Strong leadership skill with ability to influence the thought process and drive alignment.
- Excellent communication skills and a demonstrated ability to collaborate effectively with cross-functional teams.
- Self-motivated and highly driven individual who can thrive in ambiguous requirements.
- Experience in collaborating with data scientists to create and refine prompts for various AI applications
- Ability to develop advanced prompt engineering techniques to enhance the performance and accuracy of GenAI models.
- Experience to design and implement scalable AI solutions on cloud platforms such as AWS and Azure.
- Knowledge to utilize cloud services to manage and deploy AI models, ensuring high availability and performance.
- Motivation to remain updated with the latest advancements in Generative AI, cloud technologies, and MLOps practices, and introduce them to the team.
- Ability to drive innovation by exploring new tools, techniques, and methodologies to improve AI capabilities and efficiencies.
Being a part of the Netcompany team, you will be provided with:
- The opportunity to work in a modern environment & in a hybrid working model
- A seamless onboarding experience and a buddy to support you on your first steps
- A competitive compensation & benefits package
- Health and life insurance program
- Meal and commuting allowance
- Well-being activities (on premises)
- Continuous learning opportunities using the most modern methods (unlimited access to Udemy for Business, ad-hoc trainings)
- A personalized development plan for targeted career growth
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