GenAI/ML Engineer

We are seeking a highly skilled AI/ML Engineer to join our team and drive the

implementation of cutting-edge ML solutions. The ideal candidate will have extensive

experience in developing and deploying advanced GenAI applications, techniques and

models.

Key Responsibilities:

1. Advanced RAG Implementation

o Identify the most appropriate chunking techniques for a use case to

maximize RAG's accuracy

o Evaluate and implement different retrieval optimisation techniques

depending on data & use case requirements

o Apply RAG solutions to real-world use cases, ensuring practical

applicability

2. LLM Fine-tuning and Optimization

o Fine-tune Large Language Models (LLMs) for specific domain use cases

o Work on creating the data & format required for fine tuning

o Implement and customize pre-trained models using libraries like Hugging

Face Transformers

3. AI Solution Development

o Design and implement advanced AI solutions, including intent

classification, sequential modeling, and semantic search

o Work with vector databases & frameworks like LangChain to build LLM-

powered applications

4. Model Evaluation and Improvement

o Create robust evaluation benchmarks to assess model performance

o Continuously research and propose innovative methods to enhance AI

solution performance

5. Technical Leadership and Collaboration

o Stay up-to-date with the latest developments in GenAI and share

knowledge with the team

o Collaborate with cross-functional teams to integrate AI solutions into

production systems

Requirements:

2 years+ experience in Machine Learning and Natural Language Processing

Hands-on experience with PyTorch, Hugging Face Transformers, and other

relevant libraries

Proven track record of implementing RAG systems for real-world use cases

Experience in fine-tuning and optimizing large language models

Proficiency in Python and software engineering best practices

Familiarity with vector databases and embedding techniques

Strong problem-solving skills and attention to detail

Passion for staying current with the latest GenAI developments

Preferred Qualifications:

Familiarity with cloud platforms (AWS, GCP, or Azure) for AI deployment

Knowledge of MLOps practices and tools

Contributions to open-source NLP projects or research publications

Why Join Us

Work with clients from multiple sectors with real problems to solve

Work on cutting-edge AI projects that push the boundaries of what possible

Collaborate with a team of world-class AI researchers and engineers

Access to state-of-the-art computing resources and datasets

Make a real-world impact by applying advanced AI techniques to solve complex

problems

If you're excited about shaping the future of AI and have the skills to tackle complex

challenges in generative AI and language models, we want to hear from you. Apply now

and let's innovate together!