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Future-AI-Machine Learning Leader
2 weeks ago
- Design end-to-end ML systems at scale on cloud platforms (AWS, GCP, Azure).
- Lead the technical evaluation of ML models and MLOps frameworks, ensuring alignment with business goals and system constraints.
- Drive innovation across key AI domains such as NLP (incl. LLMs), Predictive Analytics, and optionally Computer Vision or Recommendation Engines.
- Mentor and guide engineers, fostering a culture of high performance, collaboration, and continuous learning.
- Partner with product and business stakeholders to define project roadmaps, validate impact, and deliver AI-powered features.
- Technical Expertise: Proven hands-on experience as a Senior ML Engineer or equivalent role, with deep expertise in ML system development.
- Cloud ML Systems: Strong background in designing and deploying secure, scalable AI systems on AWS, GCP, or Azure.
- AI Breadth: In-depth knowledge in at least two of the following: NLP/LLMs, Predictive Analytics, Computer Vision, Recommendation Systems.
- Model Evaluation: Ability to assess trade-offs across different models, frameworks, and tools with respect to performance, cost, and speed.
- Continuous Learning: Active follower of AI/ML advancements, with a track record of bringing innovative solutions into production.
- You have the ability to work in a fast-paced environment adapting to changing priorities.
- You are focused and detail-oriented but know when to seek help from others.
- You have excellent written and verbal communication skills to articulate problems and solutions to both technical and non-technical audiences.
- You possess superior troubleshooting and analytical skills to determine the root cause of issues.
- You strive to identify areas of improvement and work proactively to prevent issues from occurring.