AI/ML Architect

Sutherland; Chennai District; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

Sutherland in Chennai is seeking an experienced AI/ML Architect to design, build, and deploy end-to-end ML solutions for enterprise clients. This hands-on role requires strong coding in Python, production ML pipeline leadership, and the ability to translate client problems into scalable models.

You will review code, establish standards, mentor engineers and data scientists, and drive MLOps practices across cloud platforms (Azure/AWS/GCP).

Qualifications

• 6+ years of professional experience in machine learning or applied AI.
• 3+ years in an architect or technical lead capacity.
• Strong Python coding and production ML framework experience.
• Experience taking models from prototype to production.
• Knowledge of ML lifecycle, MLOps tooling and deployment.
• Cloud experience (Azure, AWS, or GCP) required.
• Proficient in SQL and version control systems.

Responsibilities

• Design, develop, and maintain end-to-end ML architectures.
• Perform code reviews across ML pipelines and deployment scripts.
• Build and deploy production ML models on cloud platforms.
• Implement MLOps including versioning, monitoring, retraining.
• Lead and mentor ML engineers and data scientists.
• Act as technical authority in client discussions and workshops.
• Scope and estimate new ML opportunities and proposals.
• Work in a dynamic agile environment and coordinate teams.

Skills

Machine learning

Python

ML architecture

MLOps

Cloud platforms

Code reviews

SQL

Team leadership

Education

MS or PhD in Computer Science/Statistics

Tools

LightGBM

XGBoost

scikit-learn

PyTorch

TensorFlow

Databricks

Spark

Git

REST APIs

Job description

Artificial Intelligence. Automation.Cloud engineering. Advanced analytics.For business leaders, these are key factors of success. For us, they’re our core expertise.

We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.

We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.

For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA.We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.
Sutherland

Job Description

We are seeking an experienced AI/ML Architect with strong expertise in machine learning system design, production model deployment, and hands‑on coding ability. The ideal candidate will be highly skilled in architecting end‑to‑end ML solutions, conducting code reviews across ML pipelines, and delivering scalable predictive analytics systems for enterprise clients. This is a hands‑on architecture role requiring both technical depth and delivery leadership.

Key Responsibilities:

• Design, develop, and maintain end‑to‑end ML architectures covering data ingestion, feature engineering, model training, deployment, and monitoring.
• Perform code reviews across ML pipelines, model implementations, and deployment scripts to maintain engineering quality standards.
• Build and deploy production machine learning models using frameworks such as LightGBM, XGBoost, scikit‑learn, PyTorch, and TensorFlow.
• Implement MLOps practices including model versioning, monitoring, retraining pipelines, and drift detection.
• Translate ambiguous client problem statements into technically sound, deliverable ML solutions.
• Lead and mentor a team of ML engineers and data scientists, establishing coding and validation standards.
• Act as technical authority in client discussions, solution workshops, and pre‑sales engagements.
• Scope and estimate new ML opportunities and support proposals and RFP responses.
• Working under a dynamic agile based environment.
• Strictly adhere to scrum framework and guidelines.
• Coordinate with multiple development teams.

Qualifications

Required Skills & Experience:

• 6+ years of professional experience in machine learning, data science, or applied AI, with 3+ years in an architect or technical lead capacity.
• Strong hands‑on coding proficiency in Python with production ML framework experience.
• Demonstrated experience taking models from prototype to production, not limited to POC or research work.
• Proven ability to conduct code reviews across ML pipelines, data engineering, and model deployment.
• Hands‑on experience with classical ML techniques including supervised learning, anomaly detection, time‑series analysis, and imbalanced classification.
• Working knowledge of MLOps tooling and production model lifecycle management.
• Cloud platform experience (Azure, AWS, or GCP) including ML services and deployment infrastructure.
• Proficiency with SQL and large‑scale data processing.
• Familiarity with version control systems (Git, SVN, etc.).
• Strong problem‑solving skills and ability to work independently.

Preferred Skills:

• Experience with predictive maintenance, hardware failure prediction, or IoT/telemetry data.
• Exposure to log analytics, observability data, or large‑scale unstructured data processing.
• Experience with Databricks, Spark, or similar distributed data platforms.
• Knowledge of REST API integration for model serving and inference endpoints.
• Advanced degree (MS or PhD) in Computer Science, Statistics, Applied Mathematics, or related field.