GenAI & Enterprise AI Architecture
Budget: ₹75,000 – ₹150,000 INR
Senior AI / ML Architect – GenAI, MLOps & Enterprise AI Work Support (10+ Years)
Job Description
We are seeking a highly experienced AI/ML professional (10+ years) to provide ongoing technical work support across advanced AI, GenAI, and data-driven systems.
This role involves hands-on guidance, design reviews, problem-solving, and production support for complex AI/ML implementations in enterprise environments. The ideal candidate has deep real-world experience and can quickly understand requirements, identify gaps, and provide clear technical direction.
Candidates may specialize in any subset of the skills listed below.
Core Expertise (Any of the Below)
Generative AI & LLM Systems
LLM-based applications and enterprise GenAI platforms
Prompt design, alignment, evaluation, and guardrails
Agentic workflows, tool/function calling, orchestration
Retrieval-Augmented Generation (RAG) with enterprise data
AI / ML Engineering
ML model development and productionization
Feature engineering and large-scale data processing
Model evaluation, monitoring, and optimization
Recommender systems and experimentation frameworks
Cloud, MLOps & Deployment
Cloud platforms: AWS, Azure, or GCP
Containerization and orchestration (Docker, Kubernetes)
CI/CD pipelines and Infrastructure as Code
Monitoring, logging, cost, and performance optimization
Data & Search Systems
Vector databases and similarity search
Embeddings, hybrid search, and data indexing
SQL, Spark, Databricks, and distributed pipelines
APIs & Enterprise Integrations
Backend services and API design (Python preferred)
Integration with internal platforms and business systems
Workflow automation and event-driven architectures
Responsibilities
Provide technical work support for ongoing AI/ML initiatives
Review architectures, designs, and implementation approaches
Assist with debugging, optimization, and production issues
Guide best practices for scalable, secure AI solutions
Support deployment, monitoring, and operational readiness
Collaborate as a senior technical advisor when needed
Requirements
10+ years of hands-on experience in AI/ML or data platforms
Strong background in production-grade systems
Experience working in enterprise or large-scale environments
Excellent communication and problem-solving skills
Ability to provide on-demand, real-time technical guidance
Job Description
We are seeking a highly experienced AI/ML professional (10+ years) to provide ongoing technical work support across advanced AI, GenAI, and data-driven systems.
This role involves hands-on guidance, design reviews, problem-solving, and production support for complex AI/ML implementations in enterprise environments. The ideal candidate has deep real-world experience and can quickly understand requirements, identify gaps, and provide clear technical direction.
Candidates may specialize in any subset of the skills listed below.
Core Expertise (Any of the Below)
Generative AI & LLM Systems
LLM-based applications and enterprise GenAI platforms
Prompt design, alignment, evaluation, and guardrails
Agentic workflows, tool/function calling, orchestration
Retrieval-Augmented Generation (RAG) with enterprise data
AI / ML Engineering
ML model development and productionization
Feature engineering and large-scale data processing
Model evaluation, monitoring, and optimization
Recommender systems and experimentation frameworks
Cloud, MLOps & Deployment
Cloud platforms: AWS, Azure, or GCP
Containerization and orchestration (Docker, Kubernetes)
CI/CD pipelines and Infrastructure as Code
Monitoring, logging, cost, and performance optimization
Data & Search Systems
Vector databases and similarity search
Embeddings, hybrid search, and data indexing
SQL, Spark, Databricks, and distributed pipelines
APIs & Enterprise Integrations
Backend services and API design (Python preferred)
Integration with internal platforms and business systems
Workflow automation and event-driven architectures
Responsibilities
Provide technical work support for ongoing AI/ML initiatives
Review architectures, designs, and implementation approaches
Assist with debugging, optimization, and production issues
Guide best practices for scalable, secure AI solutions
Support deployment, monitoring, and operational readiness
Collaborate as a senior technical advisor when needed
Requirements
10+ years of hands-on experience in AI/ML or data platforms
Strong background in production-grade systems
Experience working in enterprise or large-scale environments
Excellent communication and problem-solving skills
Ability to provide on-demand, real-time technical guidance