TRPD-26-05949
AI/ML Engineer
Hiring an AI/ML Engineer (3–5 years) for a permanent role based in Bangalore. The role focuses on building and deploying machine learning solutions; specific domain, tools, and frameworks are not provided in the requirement, so sourcing should target generalist ML engineers with common ML stack exposure and productionization awareness.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Full Time
- Experience
- Minimum 3 years and Maximum 5 years
Role overview
Why This Role Matters.
Hiring an AI/ML Engineer (3–5 years) for a permanent role based in Bangalore. The role focuses on building and deploying machine learning solutions; specific domain, tools, and frameworks are not provided in the requirement, so sourcing should target generalist ML engineers with common ML stack exposure and productionization awareness.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
ML
Machine Learning
Deep Learning
Python
Model training
Model evaluation
MLOps
Deployment
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Machine Learning fundamentals
Model training and evaluation
Python (assumed common for AI/ML Engineer roles)
Preferred
Nice to Have
Deep Learning (e.g., neural networks)
MLOps / model deployment
NLP or Computer Vision
Cloud ML platforms
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for AI/ML Engineer
One page, about two minutes. We only ask for what we actually need to have a first conversation.