AI/ML Engineer_3+yrs
Actively Reviewing the ApplicationsZorba AI
India, Tamil Nadu, Chennai
Full-Time
INR 9–13 LPA
Posted 2 months ago
•
Apply by May 30, 2026
Job Description
About The Opportunity
A technology consulting firm in the IT Services & AI Solutions sector delivering enterprise-grade AI/ML systems, advanced analytics, and production ML pipelines for clients across industries. We design, build and operationalize models that power business decisions and automation at scale.
Primary job title: Machine Learning Engineer (On-site, India)
Role & Responsibilities
Must-Have
Benefits & Culture Highlights
Skills: pytorch,scikit-learn,tensorflow,sql,machine learning,predictive modeling,python,docker
A technology consulting firm in the IT Services & AI Solutions sector delivering enterprise-grade AI/ML systems, advanced analytics, and production ML pipelines for clients across industries. We design, build and operationalize models that power business decisions and automation at scale.
Primary job title: Machine Learning Engineer (On-site, India)
Role & Responsibilities
- Design, train and validate supervised and unsupervised ML models for business use-cases (classification, regression, ranking).
- Productionize models: containerize ML artifacts, define CI/CD pipelines, and deploy services to cloud-based infrastructure.
- Build and maintain reliable data ingestion and feature engineering pipelines using SQL and data-processing libraries.
- Implement model monitoring, evaluation metrics, A/B testing, and drift-detection to ensure model quality in production.
- Integrate models into backend services and REST APIs; collaborate with engineers and product owners to deliver end-to-end solutions.
- Document experiments, maintain reproducible training workflows, and contribute to engineering best-practices and knowledge transfer.
Must-Have
- Python
- PyTorch
- TensorFlow
- scikit-learn
- SQL
- Docker
- AWS
- Kubernetes
- MLOps
Benefits & Culture Highlights
- Hands-on, delivery-focused environment with opportunities to lead end-to-end ML projects.
- Collaborative, consulting-led culture with technical mentorship and career growth pathways.
- Competitive compensation, training allowance, and health benefits.
Skills: pytorch,scikit-learn,tensorflow,sql,machine learning,predictive modeling,python,docker
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