Staff Engineer, Machine Learning (AI)

TL;DR

Staff Engineer, Machine Learning (AI): Building and optimizing AI/ML architecture and solutions for clients with an accent on NLP, machine vision, generative AI, and MLOps. Focus on designing and implementing multi-agent systems, prompt engineering for LLMs, and ensuring architectural extensibility and scalability.

Location: Service Region: South Asia

Company

hirify.global is a Digital Product Engineering company scaling globally with over 17500 experts across 39 countries.

What you will do

• Convert client business use cases and technical requirements into robust technical designs.
• Identify and evaluate various solutions to determine the best option for client needs.
• Define guidelines and benchmarks for non-functional requirements during project implementation.
• Write and review design documents outlining overall architecture, framework, and high-level application design.
• Develop and design comprehensive solutions, defining appropriate technologies, patterns, and frameworks.
• Conduct Proofs of Concept (POCs) to validate suggested designs and technologies.

Requirements

• Total experience: 7+ Years in machine learning, with a proven track record in NLP, machine vision, and AI.
• Experience in AI/ML architecture design and implementation using cloud infrastructure.
• Proficiency in Python or R and data manipulation libraries (Pandas, NumPy).
• Strong understanding of statistical concepts and their application.
• Proficiency in deep learning frameworks like TensorFlow, PyTorch, or JAX, and ML libraries like scikit-learn.
• Experience with SQL.
• Understanding of MLOps and deployment using technologies such as MLflow, Kubeflow, Docker, or Kubernetes.
• Designed, developed, and deployed AI agents as part of multi-agent systems.
• Strong understanding of LLMs, foundation models, and prompt engineering for prompt development and templates.
• Practical experience with Generative AI frameworks like GANs, VAEs, prompt engineering, and RAG.
• Experience with AI ethics and responsible AI practices.

Culture & Benefits

• Dynamic and non-hierarchical work culture.