AI Architectural Engineer

2 days ago

Lahore, Punjab, Pakistan beBee Careers Full time

Senior Data Scientist Role

">Job Summary">

We are seeking a highly experienced Senior Data Scientist to join our team. The successful candidate will have expertise in designing and developing cutting-edge Artificial Intelligence and Machine Learning solutions.

">Key Responsibilities">
  • ">
  • Design, develop, and implement AI/ML solutions involving Generative AI, LLMs, VLMs, Computer Vision, Time-Series forecasting, and Data Analytics.">
  • Build system architectures, data pipelines, algorithms, and machine learning models to solve complex business challenges based on client requirements and research.">
  • Collaborate with product managers, data engineers, and software developers to integrate and deploy AI components into scalable, production-ready solutions.">
  • Conduct research and stay up-to-date with emerging AI trends, tools, and frameworks to enhance project outcomes continually.">
  • Perform data wrangling, data engineering, and ML model deployment in cloud or on-prem environments.">
  • Participate in problem modeling, creative algorithm design, and efficient system implementation while maintaining strong communication with technical and non-technical stakeholders.">
">Requirements">
  • ">
  • Bachelor's or Master's degree (preferred) in Computer Science, Data Science, Software Engineering, Artificial Intelligence, Electrical Engineering, or a related field.">
  • 3+ years of professional experience in Data Science, Machine Learning, and Artificial Intelligence roles.">
  • Proficiency in Python programming, problem-solving, and algorithm design.">
  • Strong knowledge of Machine Learning and Deep Learning theories and implementations, with hands-on experience using libraries like Scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers.">
  • Practical experience in Generative AI, LLMs, NLP, including working with frameworks like LangChain, LlamaIndex, Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, and model fine-tuning.">
  • Experience in Computer Vision, classical image processing, CNNs, Vision Transformers, and Vision-Language Models for tasks such as Image Classification, Object Detection, and Image Segmentation.">
  • Competency in Data Wrangling, Data Engineering, Data Analysis, Statistics, and Data Visualization.">
  • Familiarity with additional AI domains like Time-Series Analysis, Recommendation Systems, Speech Processing, Reinforcement Learning, and Image Generation is a plus.">
  • Strong problem modeling and system design skills, with the ability to translate complex business problems into AI-based solutions.">
  • Excellent communication and collaboration skills, with a proactive mindset and a passion for staying ahead of AI advancements.">

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