TRPD-26-05440

Generative AI Engineer

Hire a Generative AI Engineer (3–6 years) to design, develop, and optimize generative AI models (GPT, VAE, GAN) and end-to-end AI pipelines (preprocessing, feature extraction, training, evaluation). The role requires strong Python, deep learning frameworks (TensorFlow/PyTorch/Keras), NLP tooling (SpaCy/NLTK/Hugging Face), solid CS fundamentals (data structures/algorithms, software engineering), and familiarity with Azure. The engineer will collaborate with cross-functional teams, document solutions for technical/non-technical stakeholders, help define best practices, and mentor junior members.

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Position summary

Location: India
Workplace: On-site
Employment: Full Time
Experience: Minimum 3 years and Maximum 6 years

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Role overview

Why This Role Matters.

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.

Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.

Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.

Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.

Optimizing existing generative AI models for improved performance, scalability, and efficiency.

Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.

Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.

Contributing to the establishment of best practices and standards for generative AI development within the organization.

Providing technical mentorship and guidance to junior team members.

You have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.

You have solid experience of 3+ years in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.

You are proficient in Python and have 5+ experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.

You have strong knowledge of data structures, algorithms, and software engineering principles.

Technology stack

Tools & Technologies.

The platforms and technologies you'll use to build modern, enterprise-grade solutions.

Generative AI

Required

GPT

Required

VAE

Required

GAN

Required

Deep Learning

Required

Machine Learning

Required

Python

Required

TensorFlow

Required

PyTorch

Required

Keras

Required

NLP

Required

SpaCy

Required

NLTK

Required

Hugging Face

Required

Azure

Required

Data preprocessing

Required

Feature extraction

Required

Model training

Required

Model evaluation

Required

Matplotlib

Required

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

Generative AI model development (GPT, VAE, GAN)

Deep learning fundamentals and model training/evaluation

Python

Machine learning/deep learning frameworks: TensorFlow and/or PyTorch and/or Keras

NLP techniques and tooling (e.g., SpaCy, NLTK, Hugging Face)

AI/ML pipelines: data preprocessing, feature extraction, training, evaluation

Data structures and algorithms

Software engineering principles

Azure familiarity (cloud-based platforms/services)

Model optimization for performance/scalability/efficiency

Technical documentation and communication of AI concepts

Preferred

Nice to Have

Ph.D. (highly desirable)

Data visualization libraries (Matplotlib, Seaborn, Plotly)

Agile/Scrum methodologies

Research orientation / staying current with generative AI advancements

Mentoring/technical guidance for junior team members

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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Apply for Generative AI Engineer

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