Principal Engineer (Machine Learning)

TL;DR

Principal Engineer, Machine Learning (AI): Designing and implementing robust AI/ML architectures for data and big data solutions using cloud infrastructure, with an accent on NLP, machine vision, and autonomous decision-making systems. Focus on designing and deploying sophisticated AI agents, developing prompt engineering solutions for LLMs, and ensuring adherence to AI ethics and responsible AI practices.

Location: Service Region: South Asia

Company

hirify.global is a Digital Product Engineering company that builds products, services, and experiences at scale across various digital mediums.

What you will do

• Convert client business use cases and technical requirements into technical designs.
• Define guidelines and benchmarks for non-functional requirements during project implementation.
• Design the overall solution for functional and non-functional requirements, including technologies, patterns, and frameworks.
• Review architecture and design for extensibility, scalability, security, and best practices.
• Develop and design comprehensive AI/ML solutions.
• Perform Proof of Concepts (POCs) to validate design and technology choices.

Requirements

• 13+ years of total experience.
• Strong working experience in machine learning, with a proven track record in NLP, machine vision, and AI.
• Must have experience in AI/ML architecture design and implementation in data/big data using cloud infrastructure.
• Proficiency in Python or R, and data manipulation libraries (Pandas, NumPy).
• Strong programming skills in Python and deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Experience with MLOps, including deployment using technologies like MLflow, Kubeflow, Docker, or Kubernetes.
• Should have designed, developed, and deployed multiple AI agents as part of multi-agent systems.
• Strong understanding of LLMs, foundation models, and expertise in prompt development and templates.
• Practical experience with Generative AI frameworks (GANs, VAEs, RAG) and AI ethics.

Culture & Benefits

• Dynamic and non-hierarchical work culture.