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AI/ML Engineering Lead

AI/ML Engineering Lead

Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

Welo Data

7 - 12 years

14 - 19 Lacs

noida

Posted:1 day ago| Platform:

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Skills Required

computer science backend artificial intelligence machine learning packaging system design monitoring engineering lead python recruitment

Work Mode

Work from Office

Job Type

Full Time

Job Description

Tasks and Responsibilities:

Lead a team of AI/ML engineers to design, build, test, and maintain production AI systems.
Own the end-to-end AI model lifecycle, including data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
Set and enforce software engineering best practices for ML codebases (testing, code reviews, documentation, CI/CD, versioning).
Architect scalable and reliable AI services and pipelines that integrate with existing backend and platform infrastructure.
Collaborate with product, data, and platform teams to translate business requirements into robust AI-driven solutions.
Ensure models in production are observable, debuggable, and maintainable (metrics, logging, alerts, retraining strategies).
Mentor engineers on Python best practices, system design, and production AI patterns.
Stay up to date with industry trends in ML engineering, MLOps, and applied ML, and assess their practical applicability.

Requirements:

Degree (preferably Masters) in Computer Science, AI, or a related engineering field.
7+ years of experience in software engineering.
Significant production ownership of AI-based systems.
Proven experience leading and mentoring engineers in a production-focused environment.
Strong expertise in Python, with a deep understanding of clean code, testing, packaging, and performance considerations.
Solid understanding of ML fundamentals (training, evaluation, bias/variance, metrics) with a pragmatic, application-driven mindset.
Experience designing and operating ML pipelines and services (batch and/or real-time).
Familiarity with MLOps practices: model versioning, CI/CD, monitoring, rollback strategies, and reproducibility.
Strong communication skills, with the ability to align technical decisions with product and business goals.
Experience in working with cross-functional teams to bring research into production.

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AI/ML Engineering Lead