About Verdantis

Verdantis is a leading provider of Enterprise Asset Management (EAM) and Industrial Master Data Management (MDM) solutions for asset-intensive industries including Oil & Gas, Energy, Metals & Mining, Chemicals, Food & Beverage, and Manufacturing.

Its flagship MRO360 platform enables end-to-end maintenance and spare parts management through inventory optimization, predictive maintenance, work order planning, asset management, and supplier lifecycle management.

The MDM Suite standardizes, enriches, and governs MRO master data across materials, suppliers, and services. It includes Harmonize for data cleansing and enrichment, and Integrity for continuous data governance and compliance.

The platform is further enhanced by AI-powered agents such as AutoDoc, SpareSeek, TransAI, AutoEnrich, and AutoSpecs, delivering automated data extraction, intelligent part identification, localization, data enrichment, and duplicate detection.

Role Overview

We are looking for a passionate AI/ML Engineer to join our Mumbai office and contribute to building intelligent AI-powered solutions for enterprise applications. The ideal candidate will work closely with product, engineering, and data teams to design, develop, train, and deploy machine learning models and AI solutions that solve real-world business challenges.

Key Responsibilities

Design, develop, and deploy scalable Machine Learning and AI models for enterprise use cases.
Build predictive analytics, classification, recommendation systems, and intelligent automation solutions.
Work on NLP, LLM-based applications, information extraction, and intelligent data processing pipelines.
Develop and optimize ML pipelines for model training, testing, deployment, and monitoring.
Integrate AI solutions into enterprise platforms and cloud environments.
Fine-tune and evaluate LLMs and AI models for domain-specific applications.
Collaborate with software engineering and product teams for end-to-end delivery.
Analyze large structured and unstructured datasets to generate actionable insights.
Monitor model performance and continuously improve prediction accuracy and efficiency.
Stay updated with emerging AI technologies and industry trends.

Required Skills & Qualifications

Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, Data Science, or related fields.
2–4 years of experience in AI/ML development.
Strong programming skills in Python.

Hands-on experience with:

TensorFlow / PyTorch
Scikit-learn
Pandas, NumPy
MLflow
Hugging Face
LangChain / LLM frameworks

Experience in:

Machine Learning algorithms
Deep Learning
NLP
Generative AI
RAG architectures
Model fine-tuning
Knowledge of APIs, microservices, and cloud platforms (AWS/Azure/GCP).
Understanding of MLOps concepts and CI/CD pipelines.
Familiarity with SQL/NoSQL databases.

Preferred Qualifications

Experience building AI agents or enterprise AI solutions.
Exposure to document intelligence, data extraction, recommendation systems, or forecasting models.
Experience with vector databases such as Pinecone, Chroma DB, or FAISS.
Understanding of enterprise data ecosystems, ERP, or master data management concepts.
Exposure to Docker and Kubernetes.

What We Offer

Opportunity to work on cutting-edge AI and Agentic AI solutions.
Collaborative and innovation-driven work environment.
Exposure to global enterprise projects.
Career growth in a rapidly growing AI-native organization

Artificial Intelligence Engineer