Skip to content
Carrerlift

Data Sutram

AI Engineer

AI Engineer

Data Sutram · Mumbai · 12-18 LPA

Share on WhatsAppShare on LinkedIn
MumbaiFull-timePosted 24 days ago
Eligibility
Not stated
Batch
2024–2026
Experience
Not stated
Salary
12-18 LPA

How well do you fit this role?

Your resume against this posting — what you have, what’s missing, and a short plan to close the gap.

PDF or text, up to 4 MB. It stays in this browser — nothing is saved to your account.

About this role

About the role: - Develop and deploy artificial intelligence solutions that address real-world business challenges - Design machine learning pipelines and models tailored to specific problem domains - Build production-ready systems that integrate AI capabilities into existing platforms - Collaborate with cross-functional teams to translate business requirements into technical implementations What you'll work on: - Training, testing and optimizing deep learning and machine learning models - Writing clean, maintainable code for AI systems and data processing workflows - Implementing end-to-end solutions from data preparation through model deployment - Debugging and improving model performance in production environments What we're looking for: - Strong foundation in machine learning, deep learning and statistical methods - Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch or similar - Ability to work with large datasets and perform exploratory data analysis - Problem-solving mindset with attention to code quality and system design - Willingness to learn new tools and stay current with AI research and industry practices Note: Referral opportunity

Job AgentResearch internshipsHR contactsSaved jobsYour applicationsYour profilePremiumFor recruiters

Happy Durga Puja

Durga Puja Sale50% off every Premium plan

Ends Sunday at midnight.

--
hours
--
min
--
sec

Apply with Agent, new jobs hours before everyone, HR contacts, and unlimited resume fit checks and AI Email drafts. One-time payment — nothing auto-renews.

Get 50% off