AI Innovation Leader
4 weeks ago
**Job Overview**
We are a global hiring company, HR POD, seeking an experienced Senior AI Engineer to join our team. The ideal candidate will have extensive knowledge of AI and machine learning technologies and be able to design, develop, and deploy innovative solutions.
**Key Responsibilities**
- Lead a team of engineers in designing, developing, and deploying AI-based systems and algorithms that solve complex business problems.
- Collaborate with cross-functional teams to identify business opportunities and develop solutions that leverage AI and machine learning technologies.
- Develop and implement data collection, preprocessing, and analysis pipelines to support AI-based systems and algorithms.
- Stay up-to-date with the latest advancements in AI and machine learning technologies and identify opportunities to incorporate them into our solutions.
**Requirements and Qualifications**
- A minimum of 4 years of experience in AI and machine learning engineering.
- Strong expertise in Large Language Models (LLMs) and Generative AI solutions.
- Experience with Retrieval Augmented Generation (RAG) architectures and implementations.
- Hands-on experience with state-of-the-art models from OpenAI, HuggingFace, and other AI platforms.
- Strong proficiency in PyTorch ecosystem and model development.
- Proficiency in prompt engineering and fine-tuning foundation models.
- Experience with modern Computer Vision architectures (e.g., Vision Transformers, YOLO).
- Extensive knowledge of AI frameworks, libraries, data structures, and model deployment architecture.
- Expertise in REST API development.
- Strong MLOps experience including model versioning, monitoring, and deployment.
- Proficiency with Cloud Services (AWS, Google Cloud, Azure).
- Experience with Reinforcement Learning and its applications.
- Great communication and collaboration skills especially for explaining technical concepts to non-technical business leaders.
- Strong Python programming skills.
- Programming experience in Java & C++.
- Experience with distributed computing frameworks (Apache Spark, Dask).
- Knowledge of modern attention mechanisms and transformer variants.
- Experience with few-shot learning and advanced prompt engineering.
- Familiarity with vector databases and embedding systems.
- Experience with model optimization using TensorRT.
- Experience with RLHF (Reinforcement Learning from Human Feedback).
- Knowledge of model quantization and optimization techniques.
- Proven experience in applying AI to practical technology solutions.
**Estimated Salary Range:** $150,000 - $200,000 per year
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