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Islamabad, Pakistan Remote Database Developer / SQL

AI Engineer

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Description

Ciklum is looking for an AI Engineer with a focus on Computer Vision and Generative AI to join our team full-time in Pakistan.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role:

As an AI Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.

Responsibilities

  • Develop generative models and image-to-image transformation pipelines for interior scene manipulation, layout generation, and realistic rendering
  • Design and implement computer vision algorithms to segment, classify, and understand interior elements (e.g., furniture, floor, lighting, walls)
  • Explore and deploy foundation models (e.g., Stable Diffusion, Flux, ControlNet) and integrate them into production pipelines
  • Explore and benchmark third-party AI services (e.g., image generation, editing, segmentation APIs) and seamlessly integrate them into scalable production pipelines
  • Work closely with design and product teams to align AI capabilities with creative design needs
  • Drive exploratory data analysis on visual and multimodal datasets (images + text), detect inconsistencies, and propose data-driven improvements
  • Conduct experiments to evaluate model realism, style alignment, and accuracy in room element localization
  • Optimize models for performance, latency, and scalability

Requirements

We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit!

  • General technical requirements:
    • BSc, MSc, or PhD in Mathematics, Statistics, Computer Science, Engineering, Operations Research, Econometrics, or related fields
    • Strong knowledge of Probability Theory, Statistics, and a deep understanding of the Mathematics behind Machine Learning
    • Proficiency with CRISP-ML(Q) or TDSP methodologies for addressing commercial problems through data science solutions
  • Hands-on experience with various machine learning techniques, including but not limited to:
    • Regression
    • Classification
    • Clustering
    • Dimensionality reduction etc.
  •  Proficiency in Python for developing machine learning/deep learning models and conducting statistical analyses
  • Strong understanding of data visualization tools and techniques (e.g., Python libraries such as Matplotlib, Seaborn, Plotly, etc.) and the ability to present data effectively
  • Deep understanding of image generation models (e.g., VAEs, GANs, Diffusion Models), especially multimodal models (e.g.,GPT-4o, Stable Diffusion, ControlNet, Paint-by-Example etc.)
  • Experience in computer vision system development using TensorFlow/PyTorch, OpenCV frameworks
  • Experience in developing or working with systems that analyze or generate multimodal content, including image, layout, and text modalities
  • Familiarity with AI/ML cloud implementations (AWS, Azure, GCP) and cloud-based AI/ML services (e.g., Amazon SageMaker, Azure ML)
  • Experience with REST APIs for model integration into web-based UIs or mobile apps
  • Proven experience in developing data science solutions that drive measurable business impact, with a strong track record of end-to-end project execution
  • Ability to effectively translate business problems into data science problems and create solutions from scratch using machine learning and statistical methods
  • Excellent project management and time management skills, with the ability to manage complex, detailed work and effectively communicate progress and results to stakeholders at all levels

Desirable

  • Experience with MLOps, including integration of machine learning pipelines into production environments, Docker, and containerization/orchestration (e.g., Kubernetes)
  • Experience with Large Language Models (LLMs) and frameworks for developing applications powered by LLMs (e.g., LangChain, LlamaIndex)
  • Experience with prompt engineering for multimodal models and/or adapter training for diffusion models
  • Familiarity with SQL/NoSQL databases for data processing, data manipulation, sampling, and reporting  
  • Research experience with peer-reviewed publications
  • Recognized achievements in data science competitions, such as Kaggle
  • Certifications in cloud-based machine learning services (AWS, Azure, GCP)

What's in it for you

  • Care: your mental and physical health is our priority. We offer competitive benefits package that includes but is not limited to comprehensive medical coverage, life-insurance, gym membership, fuel, internet and mobile allowances and provident fund
  • Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications
  • Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally
  • Flexibility: Own your schedule – you are the one to decide when to start your working day. Just don’t miss your regular team stand-up
  • Opportunities: we value our specialists and always find the best options for them. Our Internal Mobility Program helps change a project if needed to help you grow, excel professionally and fulfill your potential
  • Global impact: work on large-scale projects that redefine industries with international and fast-growing clients
  • Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events

About us:

Boost your skills and make a difference with cutting-edge projects, skilled colleagues and the latest tech stacks. 
Join our friendly team and seize the perks of global opportunities, a dynamic environment and well-known customers. 

Be bold, not bored!

Experiences of tomorrow. Engineered together

Interested already?

We would love to get to know you! Submit your application. Can’t wait to see you at Ciklum.

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