Role - AI/ML Engineer

Location - PAN INDIA

About the Opportunity

Join a fast-growing tech consultancy driving AI innovation for enterprise clients across India. We build and deploy scalable machine learning systems that solve real-world business challenges from predictive analytics and NLP pipelines to computer vision and recommendation engines. You ll work directly with global brands, deploying production-grade ML models using contemporary cloud infrastructure and MLOps best practices.

Role & Responsibilities
Design, develop, and productionize ML models for high-impact business use cases spanning classification, regression, clustering, and deep learning.
Build and optimize end-to-end ML pipelines from data preprocessing and feature engineering to model training, hyperparameter tuning, and inference deployment.
Deploy models on cloud platforms (AWS/Azure/GCP) using containerization (Docker/K8s), serverless functions, and CI/CD workflows.
Collaborate with data engineers to ensure clean, scalable data pipelines and with product teams to translate business KPIs into ML-driven outcomes.
Monitor model performance in production, implement drift detection,



retraining workflows, and ML observability dashboards.
Mentor junior engineers and contribute to internal AI/ML engineering standards, code reviews, and architecture design sessions.

Skills & Qualifications Must-Have
Python
Scikit-learn
TensorFlow
PyTorch
NumPy
Pandas
MLflow
Amazon SageMaker

Preferred
ML Ops tools (Kubeflow, Airflow)
Model monitoring platforms (Arize, Evidently)
Experience with LLM fine-tuning or RAG pipelines

Benefits & Culture Highlights
Work on high-visibility AI projects for Fortune 500 clients across finance, retail, and healthcare.
On-site hybrid mode with flexible schedule and modern office infrastructure in major Indian metro cities.
Access to internal AI upskilling programs, conference sponsorships, and performance-linked bonuses.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Machine Learning Engineer Bengaluru (India)
🏢 Zorba AI
📍 India