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AI/ML Engineer_3+yrs

Actively Reviewing the Applications

Zorba AI

India, Tamil Nadu, Chennai Full-Time On-site INR 9–13 LPA
Posted 3 weeks 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

  • 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.

Skills & Qualifications

Must-Have

  • Python
  • PyTorch
  • TensorFlow
  • scikit-learn
  • SQL
  • Docker

Preferred

  • AWS
  • Kubernetes
  • MLOps

Additional qualifications (required in profile): 3+ years of professional experience building and deploying ML solutions; strong applied statistics and ML fundamentals; ability to work on-site in India.

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.

We seek pragmatic engineers who can move models from prototype to reliable production services. If you thrive in fast-paced client-engagements and enjoy ownership of ML lifecycle, apply to join a high-impact AI engineering practice.

Skills: pytorch,scikit-learn,tensorflow,sql,machine learning,predictive modeling,python,docker

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