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1 day ago
The Artificial Intelligence Engineer plays a pivotal role in designing and implementing cutting-edge artificial intelligence solutions.
This position focuses on creating innovative applications that leverage Machine Learning, Natural Language Processing, and emerging technologies like Generative AI and Large Language Models.
Main Responsibilities- Develop and deploy ML, NLP, LLM models aligned with AI strategies.
- Create custom ML, Gen AI, NLP, LLM models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), and NLP/LLM model development.
- Collaborate closely with data scientists, machine learning engineers, and software engineers to integrate AI models into production systems.
- Stay up-to-date with the latest AI/ML advancements and recommend innovative approaches.
- Apply best practices in data privacy, security, and biases in AI systems.
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field; or High School Diploma/General Education Degree and 4+ years of relevant experience.
- Professional experience in AI/ML model development.
- Demonstrated ability working with machine learning frameworks, programming languages like Python, and cloud platforms.
- Demonstrated ability to learn new technologies.
- Demonstrated understanding of ethical considerations in AI systems.
- Strong analytical and problem-solving skills with understanding of AI/ML techniques.
- Experience deploying Gen AI solutions at scale.
- Experience fine-tuning LLMs, SLMs, teacher-student frameworks, and model distillation.
- Familiarity with human-in-the-loop methods for aligning LLMs with human preferences.
- Familiarity with agentic framework platforms and concepts. Experience deploying agentic-based solutions is a plus.
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