About The Opportunity

A energetic tech firm operating at the intersection of enterprise AI and advanced data science, we build scalable machine learning systems that drive automation, predictive analytics, and intelligent decision-making for mid-to-large businesses across finance, logistics, and SaaS verticals. Our Data Science + AI Engineering team turns complex data into production-grade AI solutions—leveraging cloud-native architectures, MLOps pipelines, and generative AI frameworks to deliver measurable ROI.

Role & Responsibilities

Design, train, and deploy ML models (supervised/unsupervised) for business-critical use cases including forecasting, classification, and anomaly detection.
Build and maintain MLOps pipelines using Azure ML / SageMaker / Vertex AI for model versioning, retraining, and CI/CD integration.
Collaborate with product and engineering teams to operationalize AI models into scalable microservices using Python, FastAPI, or Flask.
Apply NLP and GenAI techniques (LangChain, RAG, LLM fine-tuning) to enhance chatbots,



document processing, and search systems.
Optimize model performance through feature engineering, hyperparameter tuning, and A/B testing in production environments.
Ensure model governance—monitoring drift, bias, explainability (SHAP/LIME), and compliance with enterprise audit standards.

Skills & Qualifications

Must-Have

Python
Scikit-learn
Pandas
TensorFlow / PyTorch
SQL
Azure ML / SageMaker / Vertex AI
Git
LangChain

Preferred

LLM fine-tuning (LoRA, PEFT)
FastAPI / Flask
MLflow / Weights & Biases

Benefits & Culture Highlights

On-site work with flexible core hours in Ahmedabad—collaborative, innovation-driven culture.
Access to cutting-edge AI tooling and cloud credits for experimentation and upskilling.
Opportunity to own end-to-end AI product modules and present impact to C-suite stakeholders.

Skills: ml,azure,python

📌 Data Scientist+ AI Eng (Ahmedabad)
🏢 Orbion Infotech
📍 Ahmedabad