GenAI/ML Engineer
2 weeks ago
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
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