AI / ML Engineer
2 days ago
Research And Scoping
The core responsibilities for the job include the following:
- Collaborate with stakeholders in various teams and departments to scope out potential business use cases.
- Design, implement, and deploy state-of-the-art models, including LLMs and Generative AI frameworks.
- Perform model optimization for performance, scalability, and accuracy.
- Implement advanced feature engineering techniques for both structured and unstructured data.
- Leverage leading libraries like TensorFlow and PyTorch for experimentation and production.
- Build and optimize machine learning pipelines with tools like Vertex AI.
AI Agent Development
- Design and implement autonomous AI agents aimed at optimization using custom prompting and agentic workflows.
Requirements
- Have 3-6 years of experience in the Data Science / Machine learning domain.
- Possess a bias for action with a track record of solving technical challenges creatively.
- Experienced in 01 MVP development and iterative prototyping.
- Knowledgeable and experienced in leveraging LLMs, RAG, and Agentic frameworks.
- Passionate about staying up to date with AI trends and best practices.
- Strong expertise in Python, proficiency in TensorFlow, PyTorch, and MLOps practices, experience in cloud-based deployment and machine learning frameworks.
- Technical expertise - Hands-on experience with Gen AI, RAG, Graph AI, and LLMs.
- Experience with cloud platforms such as AWS or GCP, including AI/ML services.
- Knowledge of LLMs, vector databases, and applied Gen-AI techniques and frameworks (RAG, Agentic AI orchestration, LangChain, LlamaIndex, etc).
This job was posted by Vinola Mercy from Lifesight.
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