AI Solutions Architect
1 month ago
We are seeking an experienced Senior AI Engineer to join our team at HR POD - Hiring Talent Globally.
About the RoleThis is a unique opportunity to work on cutting-edge AI projects and develop innovative solutions that drive business growth. As a Senior AI Engineer, you will be responsible for leading the development of AI-based systems and algorithms, collaborating with cross-functional teams, and staying up-to-date with the latest advancements in AI and machine learning technologies.
Key Responsibilities- Leverage your expertise in AI and machine learning to design, develop, and deploy AI-based systems and algorithms that solve complex problems and improve business processes.
- 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.
- Conduct experiments and perform statistical analysis to evaluate the performance of AI-based systems and algorithms.
- Implement and maintain AI-based solutions and systems in production environments.
- A minimum of 4 years of experience in AI engineering, with a strong background in machine learning and deep learning.
- Expertise in Large Language Models (LLMs) and Generative AI solutions, including 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, including Vision Transformers and YOLO.
- Extensive knowledge of AI frameworks, libraries, data structures, and model deployment architecture.
- Expertise in REST API development and Strong MLOps experience, including model versioning, monitoring, and deployment.
- Proficiency with Cloud Services, including AWS, Google Cloud, and Azure.
- Experience with Reinforcement Learning and its applications.
- Great communication and collaboration skills, with the ability to explain technical concepts to nontechnical business leaders.
- Strong Python programming skills, with experience in Java and C++.
- Experience with distributed computing frameworks, such as Apache Spark and 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 and all-inclusive technology solutions.
- An estimated salary of $150,000 per year, based on industry standards and location.
- The opportunity to work on cutting-edge AI projects and develop innovative solutions that drive business growth.
- A dynamic and research-oriented team environment, with concurrent projects and opportunities for professional growth.
- A comprehensive benefits package, including health insurance, retirement plans, and paid time off.
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