Qureos

FIND_THE_RIGHTJOB.

Senior AI / ML Engineer

Lahore, Pakistan

We’re looking for a Senior AI/ML Engineer to join our growing AI services company as a foundational technical leader. You’ll design and build production-grade AI/ML solutions across computer vision, NLP, and generative AI, while mentoring and leading a team as we scale.

What You’ll Do :

● Architect and develop end-to-end AI/ML solutions from data processing to deployment, across diverse domains (vision, NLP, GenAI, predictive systems).

● Design scalable pipelines, implement best practices, and set engineering standards.

● Guide algorithm/model selection, review code, debug complex issues, and make key technical decisions.

● Mentor and upskill junior engineers, fostering a strong learning and innovation culture.

● Collaborate with clients and cross-functional teams to define solutions that are robust, accurate, and scalable.

● Stay ahead of industry trends and emerging technologies to keep our solutions cutting-edge.

What You Bring:

● 5+ years of hands-on experience building and deploying ML models in production. ● Strong expertise in:

○ Computer Vision – CNNs, OpenCV, TensorFlow/PyTorch, transfer learning, detection/segmentation models.

○ NLP – Transformers (BERT, T5, GPT), tokenization, embeddings, HuggingFace, spaCy/NLTK.

○ Generative AI – LLM orchestration (LangChain), RAG, chatbots, prompt engineering, vector DBs (FAISS/Pinecone).

● Solid ML foundations (classical algorithms, feature engineering, evaluation) with Python, Scikit-learn, XGBoost/LightGBM.

● Deployment experience on AWS/Azure/GCP, FastAPI/Flask, Docker/Kubernetes, CI/CD, and MLOps best practices.

● Excellent communication, problem-solving, and mentorship abilities with a track record of guiding teams technically.

Nice to Have

● Startup or consulting experience handling multiple AI projects simultaneously

● Experience with real-time inference, model optimization (quantization/pruning), or edge deployment

● Contributions to open-source or published work in AI/ML

Job Type: Full-time

Work Location: In person

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