Senior Staff Engineer, Machine Learning (AI)

TL;DR

Senior Staff Engineer (AI/ML): Designing and implementing advanced machine learning and AI architectures for client solutions with an accent on NLP, machine vision, and generative AI. Focus on developing multi-agent systems, prompt engineering for LLMs, and ensuring robust MLOps deployments.

Location: Service Region: South Asia

Company

hirify.global is a Digital Product Engineering company that scales globally, building products, services, and experiences across various digital mediums.

What you will do

• Convert client business use cases and technical requirements into elegant technical designs.
• Define guidelines and benchmarks for Non-Functional Requirements (NFRs) during project implementation.
• Design and develop overall solutions, defining technologies, patterns, and frameworks.
• Review architecture and design on aspects like extensibility, scalability, security, and user experience, ensuring best practices.
• Resolve issues through exhaustive systematic analysis of root causes, justifying decisions.
• Carry out Proof of Concepts (POCs) to validate suggested designs and technologies.

Requirements

• 8+ Years of total experience.
• Strong working experience in machine learning, delivering impactful solutions in NLP, machine vision, and AI.
• 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 (Pandas, NumPy).
• Strong programming skills in Python and proficiency in deep learning frameworks like TensorFlow, PyTorch, or JAX, and scikit-learn.
• Should have understanding of MLOps and at least one deployment using MLflow, Kubeflow, Docker, or Kubernetes.
• Designed, developed, and deployed AI agents as part of multi-agent systems for autonomous/semi-autonomous decision-making.
• Strong understanding of LLMs and foundation models with expertise in prompt development and templates.
• Practical experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and RAG.

Culture & Benefits

• Dynamic and non-hierarchical work culture.
• Part of a global team with 17500+ experts across 39 countries.