AI Architect

ValueLabs; Hyderabad; In loco; INR 4.000.000 - 8.000.000; Tempo pieno

Descrizione del lavoro

Valuelabs in Hyderabad seeks an AI ML Architect with 10+ years of experience to lead the design and delivery of cutting-edge AI/ML systems. You will own the architecture across cloud platforms (AWS/Azure), oversee end-to-end deployment, and mentor a high-performance team of data scientists and engineers.

The role requires deep expertise in Python, ML/DL, NLP, CV, and MLOps tools, plus experience with LLMs, GenAI, and governance of production-grade pipelines.

Competenze

• 10+ years of experience in AI/ML, with at least 4 years in a leadership or architect role (e.g., AI/ML Architect, Principal Data Scientist, Lead ML Engineer).
• Proven experience building and deploying production-grade AI/ML systems in AWS, Azure, or hybrid cloud environments.
• Deep expertise in:Python, SQL, REST APIs, Git, Docker, KubernetesMachine Learning (Supervised/Unsupervised, Deep Learning, NLP, Computer Vision)
• LLMs & GenAI: Fine-tuning, prompt engineering, RAG, evaluation frameworks
• MLOps tools: MLflow, Kubeflow, DVC, SageMaker, Azure ML, CI/CD pipelines
• Cloud platforms: AWS, Azure (especially with Lambda, S3, EC2, SageMaker, CodePipeline)

Mansioni

• Lead AI/ML architecture initiatives and guide technology strategy.
• Oversee design and deployment of production-grade AI/ML systems.
• Architect scalable cloud-based solutions across AWS/Azure/hybrid.
• Drive MLOps pipelines and model governance for release readiness.
• Mentor teams and collaborate with cross-functional stakeholders.

Conoscenze

Leadership in AI/ML architecture

Production-grade AI/ML systems

Cloud platforms (AWS/Azure)

Python

SQL

REST APIs

Git

Docker

Kubernetes

Strumenti

MLflow

Kubeflow

DVC

SageMaker

Azure ML

CI/CD pipelines

Descrizione del lavoro

Role: AI ML ArchitectLocation – HyderabadExperience: 10+ yearsNotice Period: 0-15 days

Job Description:

• 10+ years of experience in AI/ML, with at least 4 years in a leadership or architect role (e.g., AI/ML Architect, Principal Data Scientist, Lead ML Engineer).
• Proven experience building and deploying production-grade AI/ML systems in AWS, Azure, or hybrid cloud environments.
• Deep expertise in:Python, SQL, REST APIs, Git, Docker, KubernetesMachine Learning (Supervised/Unsupervised, Deep Learning, NLP, Computer Vision)
• LLMs & GenAI: Fine-tuning, prompt engineering, RAG, evaluation frameworks
• MLOps tools: MLflow, Kubeflow, DVC, SageMaker, Azure ML, CI/CD pipelines
• Cloud platforms: AWS, Azure (especially with Lambda, S3, EC2, SageMaker, CodePipeline)