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AI/ML Engineer 5+ years

Inforizon
Ernakulam District, Kerala

Apply Now

Job details

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
APIs
Fraud prevention and detection
Data science
Clustering
Flask
Solution architecture
AI
Python

Full job description

Job Title: AI/ML Engineer
Experience: 5+ years
Work Mode: Remote

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

5+ 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.

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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