Distributed Cloud | AI Engineer
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Job Description
We are looking for a Senior AI Engineer to drive technical excellence in our AI initiatives. You will act with high-impact projects, serving as a hands-on guide for the teams and a trusted advisor for strategic decisions. Your focus is on building and scaling intelligent systems.
In this role, you will:
- Act as the Tech Lead for complex AI projects, ensuring high-quality implementation and technical rigor.
- Design and optimize production-ready AI solutions, moving beyond prototypes to scalable systems.
- Experiment with and implement cutting-edge Generative AI, LLMs, and Multi-agent systems to solve real-world problems.
- Provide technical guidance and mentorship to junior engineers, fostering growth and best practices within the team.
- Work closely with the Area Manager to align technical roadmaps with business goals.
- Stay at the forefront of AI advancements, proactively identifying new tools and techniques to integrate into our stack.
- Proven track record of developing and deploying AI/ML models in production environments.
- Strong foundation in classical ML, with deep practical experience in Generative AI, LLMs, and Multi-agent systems.
- Proficiency in Python and core frameworks like PyTorch, TensorFlow, or Scikit-learn.
- Experience with advanced decision-support systems, real-time predictive modeling, and optimization techniques.
- Solid understanding of data pipelines and cloud platforms (AWS, GCP, or Azure), including Docker and Kubernetes.
- Expertise in model evaluation, feature engineering, and ensuring model interpretability/reliability.
- Experience with graph-based algorithms, time-series forecasting, or probabilistic models.
- Degree in Computer Science, Data Science, Mathematics, or a related field (Advanced degrees are welcome).
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