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AI/ML Architect

Inforizon
Ernakulam District, Kerala

Apply Now

Job details

Full-time
14 hours ago

Benefits

Flexible schedule

Qualifications

TensorFlow
CI/CD
Elasticsearch
Cloud infrastructure
Law
MCP
Kubernetes
PyTorch
Customer service
NumPy
Google Cloud Platform
Master's degree
Databases
Pandas
Customer segmentation
Docker
Machine learning
Continuous integration
REST
Forecasting
Recruiting
APIs
Fraud prevention and detection
Data science
Clustering
Flask
AI
Python
Analytics

Full job description

Job ID: INFIT002

Hiring / Immediate joiners

AI/ML Architect

Locations: Bangalore (On-site)

Employment Type: Full-Time

Experience Required: 8+ Years

Send Resume: [email protected]/7306892755

Job Description – AI/ML Architect (Generative AI & Enterprise AI Platforms)

Role Overview

We are seeking a highly experienced and hands-on AI/ML Architect with 8–10 years of experience in Artificial Intelligence, Machine Learning, Data Science, and Enterprise AI Engineering.

The ideal candidate will lead the design, architecture, and delivery of scalable AI/ML and Generative AI solutions across multiple business domains including retail, e-commerce, travel, customer experience, analytics, operations, automation, and enterprise productivity.

This role requires a strong technical leader who can identify business opportunities for AI adoption, define scalable AI strategies, architect production-grade solutions, mentor engineering teams, and drive AI initiatives from concept to deployment.

The candidate should possess strong expertise in Machine Learning, Generative AI, Agentic AI systems, Vector Search, RAG architectures, Cloud AI platforms, and MLOps best practices.

Key Responsibilities

AI/ML Solution Architecture

Design and implement scalable AI/ML architectures for enterprise-grade applications.
Lead end-to-end AI solution development including data pipelines, model development, deployment, monitoring, and optimization.
Build reusable AI platforms, frameworks, and accelerators for organization-wide adoption.

Generative AI & Agentic AI

Architect and develop Generative AI applications using Large Language Models (LLMs).
Design Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search.
Build AI agent workflows with tool calling, multi-agent orchestration, and MCP-based integrations.
Develop conversational assistants, coding assistants, automation agents, and enterprise copilots.

Machine Learning Engineering

Develop and optimize ML models for:
- Recommendation systems
- Demand forecasting
- Price prediction
- Customer segmentation
- Fraud detection
- Predictive analytics
- Search ranking and relevance
- Behavioral analytics
- Optimization systems

Cloud & Platform Engineering

Lead AI/ML implementations on cloud platforms, preferably Google Cloud Platform (GCP).
Work with services such as:
- Vertex AI
- BigQuery
- Cloud Run
- GKE
- Pub/Sub
- Dataflow
- Vertex AI Search
- Cloud Storage
- Vector Search

MLOps & Deployment

Establish MLOps best practices including:
- Model versioning
- Experiment tracking
- Feature engineering pipelines
- Drift detection
- Monitoring and observability
- Automated retraining workflows
Deploy scalable AI services using:
- FastAPI / Flask
- Docker
- Kubernetes
- REST APIs
- CI/CD pipelines
- Microservices

Leadership & Collaboration

Lead and mentor AI/ML engineers, data scientists, and backend engineering teams.
Collaborate with product, business, and leadership stakeholders to translate business problems into AI-driven solutions.
Evaluate emerging AI technologies and recommend strategic adoption opportunities.

Required Skills & Qualifications

Experience

8–10 years of experience in AI/ML, Data Science, AI Engineering, or related domains.
Proven experience delivering production-grade AI/ML solutions.

Technical Skills

Programming & ML

Strong proficiency in Python.
Experience with:
- NumPy
- Pandas
- Polars
- Scikit-learn
- XGBoost
- TensorFlow
- PyTorch

Machine Learning

Strong understanding of:
- Regression
- Classification
- Clustering
- Recommendation systems
- Forecasting models
- Anomaly detection
- Ranking systems
- Similarity search
- Optimization techniques

Generative AI

Hands-on experience with:
- LLM applications
- RAG architecture
- Prompt engineering
- Embedding models
- Semantic search
- Hybrid search
- AI agents
- MCP integrations
- Tool calling workflows

AI Frameworks & Platforms

Experience with:
- LangChain
- LangGraph
- LlamaIndex
- CrewAI
- AutoGen

Vector Databases & Search

Experience with:
- Pinecone
- Weaviate
- FAISS
- Milvus
- Elasticsearch
- Vertex AI Vector Search

Cloud & Infrastructure

Strong experience with GCP services and cloud-native architectures.
Knowledge of:
- Docker
- Kubernetes
- GKE
- Serverless architectures
- Event-driven systems

MLOps

Experience implementing:
- Model monitoring
- Experiment tracking
- Feature stores
- Model registry
- Logging and observability
- CI/CD for ML systems

Preferred Qualifications

Experience in retail, e-commerce, finance, analytics, customer service, or enterprise automation domains.
Experience with:
- Vertex AI Search
- Google Commerce Search
- Dialogflow CX / Google CX Agent
- OR-Tools
Exposure to enterprise AI governance, scalability, and responsible AI practices.

Expected Outcomes

The AI/ML Architect will be responsible for:

Defining and driving the organization’s AI strategy and roadmap.
Delivering scalable and production-ready AI platforms.
Improving customer experience, personalization, automation, and operational efficiency.
Enabling enterprise-wide adoption of AI and Generative AI solutions.
Establishing AI engineering and MLOps best practices across teams.

Benefits

Here are some of the perks of being a part of Inforizon

Better Salary

W offer competitive salaries to keep our employees motivated and keep a sense of unity within our company.

Flexibility

Inforizon offer flexible work hours or remote work options, allowing employees to achieve a better work-life balance.

Career Growth

Inforizon invest in our employees' professional growth by providing training, education, and career opportunities.

Recognition

We offer Performance bonuses and extra financial rewards based on individual and teams achievements.

Technology

We help up-to-date tools and technology needed for the job. Equipment and software to facilitate remote work.

Apply Now

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