Ubique Systems

TRCD-26-04301

AI Engineer

Contract AI Engineer role in India to design, develop, and deploy AI/ML solutions for business problems. The position focuses on building and optimizing machine learning models, integrating AI applications into business systems, and working with large datasets. Candidates should be strong in Python, ML frameworks, generative AI technologies, and cloud platforms, with solid analytical, problem-solving, and collaboration skills.

Position summary

Location
India
Workplace
On-site
Employment
Contract
Experience
Minimum 3 years and Maximum 12 years
Apply now

Role overview

Why This Role Matters.

Contract AI Engineer role in India to design, develop, and deploy AI/ML solutions for business problems. The position focuses on building and optimizing machine learning models, integrating AI applications into business systems, and working with large datasets. Candidates should be strong in Python, ML frameworks, generative AI technologies, and cloud platforms, with solid analytical, problem-solving, and collaboration skills.

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.

01

Python

02

Machine Learning

03

AI

04

ML

05

TensorFlow

06

PyTorch

07

scikit-learn

08

Generative AI

09

LLM

10

Cloud

11

AWS

12

Azure

13

GCP

14

Model deployment

15

Large datasets

16

Data pipelines

17

MLOps

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

Python

Machine learning model development and optimization

Machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)

Generative AI technologies

Cloud platforms (at least one major cloud)

Working with large datasets

Deploying AI/ML solutions into production/business systems

Analytical and problem-solving skills

Collaboration/communication skills

Preferred

Nice to Have

MLOps practices (CI/CD for ML, model monitoring)

Data engineering basics (ETL, data pipelines)

API integration for AI services (REST)

Model performance evaluation and tuning

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.

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