
Intelligent Solutions Architect
14 hours ago
Job Overview
An Artificial Intelligence Engineer will develop and deploy advanced artificial intelligence solutions that leverage Machine Learning, Natural Language Processing, and emerging technologies.
Key Responsibilities:
- Implement ML, NLP, LLM deliverables aligned with AI strategies.
- Develop custom ML, Gen AI, NLP, LLM models for batch and stream processing-based AI ML pipelines.
- Collaborate with data scientists, machine learning engineers, and software engineers to integrate AI models into production systems.
- Stay current with emerging AI/ML technologies and recommend innovative approaches.
- Apply best practices in data privacy, security, and biases in AI systems.
Requirements:
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field; or equivalent experience as outlined in the key responsibilities.
- 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.
PREFERRED QUALIFICATIONS:
- 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.
About this role
This position requires a team player who can work collaboratively with cross-functional teams to drive AI strategy and innovation.
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