What are the responsibilities and job description for the AI/ ML Engineer position at Envision Technology Solutions?
Job Details
Location:- Princeton, NJ
On-Site
Key Responsibilities:
Design and Implementation: Develop scalable AI agent architectures tailored to business requirements.
Bedrock Model Expertise: Fine-tune and implement Bedrock models for various use cases.
Optimization: Enhance model performance while balancing computational cost efficiency.
System Reliability: Ensure the dependability, robustness, and accuracy of deployed AI systems.
Innovation: Stay abreast of advancements in AI/ML technologies to continuously refine solutions.
Required Technical Skills:
Large Language Models (LLMs):
Proficiency in LLM-based systems and prompt engineering.
Experience in fine-tuning and deploying foundational models.
Python and ML Frameworks:
Hands-on expertise with PyTorch, TensorFlow, and related libraries.
Vector Databases and Embeddings:
Familiarity with working on vector databases to optimize AI workflows.
Cloud and APIs:
Experience with cloud-based AI solutions, particularly AWS Bedrock, and API integrations.
Educational Qualifications:
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
