AI System Architect

3 weeks ago

Delhi, Delhi, India Begig Full time

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?

- Immediate Impact: Help startups launch and scale intelligent systems built on sound architectural foundations.

- Remote & Flexible: Choose your working modelhourly or per projectfrom anywhere in the world.

- Future Opportunities: BeGig keeps you matched with architect-level roles in AI-forward companies.

- Growth & Recognition: Join a community that values your technical leadership and strategic thinking in building next-gen AI products.

(ref:hirist.tech)

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