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A fast paced startup Company is hiring an AI / ML Engineer.
Job Type: Full-time, remote
Shift Timings: 3 pm to 12 am
Location: Shahrah-e-Faisal, Karachi
Industry: AI / Fintech
Responsibilities
· Research and evaluate techniques for improving LLM reasoning, accuracy, and efficiency — including prompting strategies, fine-tuning, distillation, and model selection
· Design and run rigorous experiments with proper baselines, ablations, and statistical analysis to measure the impact of each technique
· Build evaluation frameworks and benchmarks to systematically measure model quality across Yara's key tasks
· Improve retrieval-augmented generation pipelines — embedding models, chunking strategies, re-ranking, query decomposition, and context window optimization
· Explore fine-tuning approaches (LoRA, RLHF, DPO) to adapt foundation models for domain-specific performance
· Study and reduce failure modes — hallucination, instruction drift, reasoning errors, and inconsistent structured output generation
· Stay current with the research landscape (papers, open-source releases, model updates) and identify techniques with high applicability to Yara's use cases
· Prototype emerging approaches (chain-of-thought, self-consistency, tool-use planning, multi-agent coordination) and measure real-world impact
· Translate research findings into production-ready improvements and document results for the engineering team
Requirements:
· 4-5 years in ML/AI research or applied AI engineering
· Strong understanding of LLM architectures, training dynamics, and inference optimization
· Hands-on experience with fine-tuning (LoRA, RLHF, DPO) and systematic model evaluation
· Proficient in Python and ML frameworks (PyTorch,HuggingFace Transformers)
· Experience designing experiments with proper controls, ablations, and reproducibility
· Familiarity with RAG systems, embedding models, and retrieval pipelines
· Strong written communication — ability to produce clear internal research reports and technical documentation
Interested candidates may apply.
Application Question(s):
Education:
Experience:
Work Location: In person
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