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AI Engineer

4 weeks ago

Karachi, Sindh, Pakistan MJ-Affiliate Full time
Job Description:

Location: Karachi, Pakistan

Position Summary:

We are seeking an experienced AI Engineer with 4+ years of hands-on experience to join our growing AI and machine learning team. As an AI Engineer, you will be responsible for designing, developing, and deploying AI models and algorithms to solve real-world business problems. You will work on cutting-edge projects related to machine learning, natural language processing (NLP), computer vision, and other AI domains, helping the company leverage AI technologies to create innovative solutions.

The ideal candidate will have strong technical skills in AI/ML algorithms, proficiency in coding, and experience working with large datasets to train AI models. If you're passionate about AI and eager to work on impactful projects, this is an exciting opportunity to join a dynamic and fast-paced team.

Key Responsibilities:

  1. AI/ML Model Development:
    Design, develop, and deploy machine learning and deep learning models for various applications, including predictive analytics, recommendation systems, computer vision, and natural language processing (NLP).
    Utilize a range of machine learning techniques, including supervised learning, unsupervised learning, reinforcement learning, and deep learning (e.g., CNN, RNN, GAN).
    Continuously experiment with and optimize AI models to improve accuracy, performance, and efficiency.
  2. Data Preparation & Preprocessing:
    Clean, preprocess, and transform large datasets (structured and unstructured) to be used in AI/ML models.
    Apply techniques such as feature engineering, data normalization, and data augmentation to improve model inputs.
    Ensure data integrity, quality, and consistency before feeding it into AI systems.
  3. Model Training & Evaluation:
    Train AI models using large datasets, ensuring effective model validation and cross-validation techniques are applied.
    Evaluate model performance using appropriate metrics (e.g., accuracy, F1-score, AUC) and refine models based on results.
    Implement advanced techniques like transfer learning and model fine-tuning to improve results on real-world tasks.
  4. AI Application Development:
    Work on AI-powered applications and systems, including recommendation engines, chatbots, automated decision-making systems, and image recognition solutions.
    Integrate AI models into production systems, ensuring efficient deployment and maintenance.
    Develop APIs for AI-based applications and integrate with existing software platforms.
  5. Algorithm Research & Innovation:
    Stay up to date with the latest research and advancements in AI, deep learning, and related technologies.
    Evaluate and implement state-of-the-art algorithms to improve the effectiveness of AI models.
    Continuously test, optimize, and deploy new AI technologies and tools to keep the organization ahead of the curve.
  6. Collaboration & Cross-functional Work:
    Collaborate with data scientists, software engineers, and product managers to understand business problems and provide AI-driven solutions.
    Work with stakeholders across departments to gather requirements and ensure AI solutions align with business goals.
    Contribute to technical discussions, and provide guidance and mentoring to junior team members.
  7. Documentation & Reporting:
    Document AI models, algorithms, and codebases, ensuring reproducibility and maintainability.
    Create reports, presentations, and other materials to communicate AI findings and recommendations to non-technical stakeholders.

Required Qualifications:

Experience: At least 4 years of professional experience in AI, machine learning, or deep learning.

Education: A degree in Computer Science, Data Science, Artificial Intelligence, or a related field. A Master's or Ph.D. is a plus.

Job Specification:

  1. Technical Skills:
    Programming Languages: Strong experience in Python (with libraries like TensorFlow, Keras, PyTorch, Scikit-learn, OpenCV, etc.) or R for AI/ML development.
  2. Machine Learning & Deep Learning: Proficiency in implementing machine learning algorithms (e.g., decision trees, SVM, ensemble methods) and deep learning architectures (e.g., CNN, RNN, LSTMs, GANs).
  3. NLP & Computer Vision: Experience with natural language processing (NLP) (e.g., BERT, GPT, transformers) and computer vision (e.g., image classification, object detection, semantic segmentation).
  4. Data Engineering: Proficient in data preprocessing, data wrangling, data augmentation, and working with large datasets using tools like Pandas, NumPy, Spark, or Hadoop.
  5. Model Deployment: Experience in deploying AI models in production environments, using tools like Docker, Kubernetes, Flask, or FastAPI.
  6. Cloud Platforms: Familiarity with cloud-based AI/ML services (e.g., AWS SageMaker, Google AI, Azure ML).
  7. Mathematics & Statistics:
    Strong foundation in linear algebra, probability, statistics, and optimization methods.

Desired Skills & Attributes:

  1. Problem Solving: Ability to approach complex business challenges and deliver innovative AI solutions.
  2. Communication: Strong communication skills to explain complex AI concepts to non-technical stakeholders.
  3. Collaboration: Team-oriented, with the ability to collaborate effectively with cross-functional teams.
  4. Continuous Learning: A passion for staying up to date with the latest advancements in AI and machine learning research.
  5. Leadership: Ability to guide and mentor junior AI engineers or data scientists on best practices.

Benefits:

  1. Competitive salary based on experience.
  2. Health insurance and other company benefits.
  3. Opportunities for professional development, including training, certifications, and participation in AI conferences and events.
  4. A dynamic and supportive team environment that encourages innovation and growth.
  5. Flexible working hours and the possibility of working remotely.
Job Rewards and Benefits: Provident Fund
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