Machine Learning

7 days ago

Lahore, Punjab, Pakistan Brickslogix Full time $70,000 - $120,000 per year

We are seeking a highly motivated AI/ML Engineers to join our growing technology team. The ideal candidate will have a strong foundation in machine learning, artificial intelligence, data processing, and algorithm development. This role will involve building intelligent systems, analyzing datasets, and implementing cutting-edge AI solutions to support our software and product development initiatives.

Please take a minute to fill the job form:

Key Responsibilities

  • Design, develop, and deploy machine learning models and AI solutions.
  • Preprocess, clean, and analyze large datasets to extract insights.
  • Build and optimize predictive models, recommendation systems, chatbots, and other AI-driven features.
  • Conduct research on emerging AI/ML technologies and frameworks to enhance solutions.
  • Collaborate with software engineers to integrate AI/ML solutions into applications.
  • Fine-tune existing models for accuracy, scalability, and performance.
  • Work with cloud-based ML platforms (AWS, Azure, GCP) for model deployment.
  • Document processes, models, and findings for internal and client use.
  • Assist in designing proof-of-concepts (POCs) for AI-driven business solutions.

Required Skills & Qualifications

  • 1-3 years of experience in AI/ML experience.
  • Strong understanding of machine learning algorithms, deep learning, and data science principles.
  • Proficiency in Python, R, or other ML programming languages.
  • Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
  • Familiarity with data visualization tools (Matplotlib, Seaborn, Power BI, Tableau).
  • Knowledge of NLP, computer vision, or reinforcement learning is a plus.
  • Experience with cloud AI/ML services (AWS SageMaker, Azure ML, Google AI).
  • Strong analytical, problem-solving, and mathematical skills.
  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.

Job Type: Full-time

Work Location: In person

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