NLP Engineer
Lahore Abu Dhabi Full-time Mid-level Machine Learning Engineering
At a glance
Mid-level Machine Learning Engineering role at NorthBay Solutions. Lahore · full-time.
Pay not stated Machine Learning Engineering salary
RoleMachine Learning Engineering
SeniorityMid-level
LocationLahore
EmploymentFull-time
PostedSep 15, 2026 · 5w ago
Also hiring inAbu Dhabi
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Design NLP and LLM systems, then build them for scale and real-world use
- Tune retrieval pipelines, vector search, embeddings and language-model applications for better performance
- Prepare training and inference workflows, and assess models before they go into production
- Improve model quality, speed, reliability and operating cost while setting practices for testing and monitoring
- Turn business needs into AI solutions, guide engineers and coordinate work across technical and product teams
What you bring
- At least five years working professionally in NLP, machine learning or generative AI
- Strong Python skills and practical use of PyTorch, TensorFlow, Hugging Face or a comparable framework
- In-depth knowledge of transformers, LLMs, retrieval-augmented generation, fine-tuning and model assessment
- Experience moving AI or machine-learning work from trials into production, with solid software and system-design skills
Who this fits
This mid-level role suits an experienced NLP engineer who can take technical initiatives forward independently and provide guidance to other engineers. The position is based in Lahore, Pakistan.
From the employer
Role Overview:
We are looking for an NLP Engineer to lead the design, development, and deployment of production-grade NLP and Generative AI solutions. You will own complex AI initiatives end-to-end, drive technical architecture, and help shape our NLP/LLM engineering practices.
We are looking for an NLP Engineer to lead the design, development, and deployment of production-grade NLP and Generative AI solutions. You will own complex AI initiatives end-to-end, drive technical architecture, and help shape our NLP/LLM engineering practices.
Key Responsibilities
- Lead the design and development of scalable NLP and LLM-powered solutions.
- Architect and optimize RAG pipelines, embeddings, vector search, and LLM applications.
- Fine-tune, evaluate, and optimize transformer-based models and LLMs for production use.
- Build robust data, training, inference, and model-evaluation pipelines.
- Drive improvements in model quality, latency, scalability, reliability, and cost.
- Establish best practices for experimentation, evaluation, deployment, and monitoring of AI systems.
- Translate complex business requirements into effective AI/ML solutions.
- Collaborate closely with ML engineers, software engineers, product teams, and stakeholders.
- Mentor engineers and provide technical leadership across NLP/Generative AI initiatives.
- Stay current with emerging research, models, frameworks, and best practices in NLP and Generative AI.
Requirements
- 5+ years of professional experience in NLP, Machine Learning, or Generative AI.
- Strong Python programming and hands-on experience with PyTorch, TensorFlow, Hugging Face, or equivalent frameworks.
- Deep understanding of NLP, transformers, LLMs, embeddings, RAG, fine-tuning, and model evaluation.
- Proven experience taking AI/ML solutions from experimentation to production.
- Strong software engineering and system-design skills, including APIs, data pipelines, and scalable architectures.
- Strong analytical and problem-solving skills with the ability to independently drive technical initiatives.
Preferred
- Experience with PEFT/LoRA, quantization, inference optimization, or distributed model training.
- Experience with vector databases, MLOps, cloud platforms, and AI evaluation/observability frameworks.
- Experience building AI agents, multimodal systems, or other advanced Generative AI applications.
- Contributions to open-source projects, research, publications, or applied AI/ML innovation.