AI Engineering Manager

Jobtailor; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Jobtailor is seeking an experienced AI/ML leader to drive design and deployment of enterprise AI across GDIA. You will mentor AI engineers and data scientists and shape MLOps and LLMOps practices.

Collaborating with business and technology leaders, you will ensure AI investments deliver measurable outcomes and scale across the organization. The role requires strong leadership in AI, cloud platforms, and advanced analytics to deliver production-ready GenAI solutions.

Qualifications

• 5 to 8 years applying analytical methods and AI/ML in enterprise environments.
• 5 to 8 years using Python-based AI/ML technologies.
• Experience leading AI or Data Science teams.
• Experience acting as senior technical lead for solution trade-offs and architectural decisions.
• Experience using Cloud AI Platforms (GCP preferred).
• Hands-on with Generative AI technologies and enterprise AI deployment.

Responsibilities

• Design, develop, deploy, and scale AI/ML and Generative AI solutions across SSDA within GDIA.
• Govern AI project lifecycles from data acquisition to production deployment and monitoring.
• Lead AI engineers and data scientists; establish best practices for enterprise AI adoption using MLOps/LLMOps.
• Collaborate with stakeholders to align AI investments with measurable business outcomes.

Skills

Python

R

Spark

SQL

NLP

Neural Networks

Genetic Algorithms

Ensemble Learning

Design of Experiments

GCP

Education

Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Statistics, Applied Mathematics, IT

Master’s or PhD in Data Science, Machine Learning, Statistics, Applied Mathematics, or Computer Science

Tools

MLOps

LLMOps

Enterprise AI Architecture Patterns

Job description

Job Responsibilities

• Lead the design, development, deployment, and scaling of AI/ML and Generative AI solutions across SSDA within GDIA.


• Define and govern AI project lifecycles — from data acquisition and experimentation to production deployment, monitoring, and continuous optimisation.


• Lead AI engineers and data scientists, establish best practices, and drive enterprise-grade AI adoption using modern MLOps and LLMOps principles.


• Collaborate with business stakeholders, product leaders, engineering teams, and enterprise architects to ensure AI investments are aligned with measurable business outcomes.

Requirements

• Bachelor’s Degree in a related field (Data Science, Machine Learning, Computer Science, Statistics, Applied Mathematics, IT, or equivalent).


• 5 to 8 years of experience applying analytical methods and AI/ML solutions in enterprise environments.


• 5 to 8 years of experience using Python-based AI/ML technologies.


• Experience leading AI or Data Science teams.


• Experience acting as a senior technical lead facilitating solution trade-offs and architectural decisions.


• Experience using Cloud AI Platforms (GCP preferred).


• Hands‑on experience with Generative AI technologies and enterprise AI deployment.


• Master’s or PhD in Data Science, Machine Learning, Statistics, Applied Mathematics, or Computer Science (preferred).


• Experience managing and growing high‑performing AI teams (preferred).


• Expert‑level knowledge in advanced predictive analytics and AI techniques (Genetic Algorithms, Ensemble Learning, Neural Networks, NLP, Simulation, Design of Experiments) (preferred).


• Strong working knowledge of GCP and enterprise AI architecture patterns (preferred).


• Expertise in open‑source technologies such as Python, R, Spark, SQL (preferred).


• Experience building enterprise‑grade GenAI and agent‑based AI solutions (preferred).

Core Competencies

Demonstrates expertise in leading the design and deployment of AI/ML solutions, with a strong focus on Generative AI technologies and MLOps principles. Proven ability to manage high‑performing teams and align AI initiatives with business outcomes.

Highest-signal resume keywords

• AI/ML Solution Development


• Generative AI Technologies


• Cloud AI Platforms (GCP)


• Team Leadership in AI/Data Science


• Advanced Predictive Analytics Techniques

ATS Optimization Keywords

Hard Skills

• Python


• R


• Spark


• SQL


• Predictive Analytics


• Neural Networks


• Natural Language Processing (NLP)


• Genetic Algorithms


• Ensemble Learning


• Design of Experiments

Certifications & Qualifications

• Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Statistics, Applied Mathematics, IT


• Master’s or PhD in Data Science, Machine Learning, Statistics, Applied Mathematics, or Computer Science

Industry Keywords

• AI Project Lifecycle


• Data Acquisition


• Enterprise AI Deployment


• AI Adoption


• Business Outcomes

Tools & Technologies

• MLOps


• LLMOps


• Enterprise AI Architecture Patterns