AI System Architect - MLOps

About BeGig :

BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent.

By joining BeGig, youre not just taking on one roleyoure signing up for a platform that will continuously match you with high-impact opportunities tailored to your Opportunity :

Join our network as an AI Systems Architect and lead the design of large-scale, intelligent systems from the ground up.

In this role, you'll work closely with product, engineering, and AI teams to define architectures that support scalable, ethical, and high-performing AI solutions.

You'll be instrumental in bridging technical vision with implementation across dynamic product environments. Engage on an hourly or project basis, with the flexibility to work Overview :

As an AI Systems Architect, you will :

• Design Scalable AI Architectures : Lead the end-to-end architecture of AI / ML systems across distributed platforms and cloud environments.
• Model Deployment Pipelines : Define best practices for model training, versioning, deployment, and lifecycle management using MLOps principles.
• Data & Compute Infrastructure : Architect robust data pipelines and design compute-efficient strategies to support AI workloads at scale.
• Integrate AI Toolchains : Evaluate and integrate AI frameworks, model inference engines, vector databases, and monitoring systems.
• Ensure Security & Compliance : Establish architecture that meets AI governance, ethical use, and data privacy standards (e.g., GDPR, HIPAA).
• Collaborate Cross-Functionally : Work with engineering, product, and research teams to align architectural decisions with business Requirements & Skills :
• Experience : 2+ years in software or systems architecture, specifically in AI / ML-focused systems.
• Cloud Platforms : Proficiency in AWS, GCP, or Azure for distributed AI infrastructure and orchestration.
• MLOps Tools : Familiarity with Kubeflow, MLflow, SageMaker, or Vertex AI for managing model workflows.
• Frameworks & Tooling : Experience with PyTorch, TensorFlow, Hugging Face Transformers, LangChain, and vector DBs like Pinecone or Weaviate.
• Scalability & Performance : Ability to design for performance, fault tolerance, horizontal scaling, and latency reduction.
• DevOps & Containerization : Hands-on knowledge of Docker, Kubernetes, and CI / CD pipelines for AI system deployment.
• Security & Compliance : Awareness of AI governance frameworks and implementation of secure, compliant Were Looking For :

A systems thinker with deep technical knowledge and a pragmatic approach to designing AI-first platforms. A freelancer who can operate at the intersection of product vision, data science, and engineering scalability. A leader who values maintainability, observability, and responsible AI deployment at Join Us?

(ref : hirist.tech)