Principal Engineer (Machine Learning)

TL;DR

Principal Engineer, Machine Learning (AI): Delivering impactful solutions in NLP, machine vision, and AI with an accent on AI/ML architecture design and implementation in data / big data using cloud infrastructure. Focus on designing and deploying AI agents as part of multi-agent systems for autonomous/semi-autonomous decision-making and agent orchestration.

Location: Service Region: South Asia

Company

hirify.global is a Digital Product Engineering company that builds products, services, and experiences that inspire, excite, and delight.

What you will do

• Understand client’s business use cases and technical requirements and convert them into technical design.
• Map decisions with requirements and translate them to developers.
• Identify different solutions and narrow down the best option that meets client’s requirements.
• Define guidelines and benchmarks for NFR considerations during project implementation.
• Write and review design documents explaining overall architecture, framework, and high-level design of the application for the developers.
• Resolve issues raised during code/review, through exhaustive systematic analysis of the root cause.

Requirements

• Total experience: 13+ Years.
• Strong working experience in machine learning, with a proven track record of delivering impactful solutions 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 programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
• Strong programming skills in Python, and proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX, as well as machine learning libraries such as scikit-learn.
• Should have designed, developed, and deployed a few AI agents as part of multi-agent systems for autonomous/semi-autonomous decision-making and agent orchestration.

Culture & Benefits

• Work culture is dynamic and non-hierarchical.