AI Engineer

7 days ago

Lahore, Punjab, Pakistan Luminogics (SMC-Private) Limited Full time

Luminogics, established in 2015, is a technology innovation company based in Lahore. Specializing in Modern Application Development, we collaborate with Fortune 150 clients and global enterprises to drive advancements in AI and ML technologies. Our solutions enhance businesses through predictive analytics, intelligent automation, and personalized customer experiences, positioning them as leaders in SAAS, E-Commerce, and Data-Centric Solutions.

Job DescriptionJob Summary

Luminogics is seeking an experienced AI Engineer to join our team and lead the development of custom large language models (LLMs) tailored to our specific business needs. The ideal candidate will possess a strong background in machine learning, natural language processing, and software development, along with a passion for innovation in AI technology.

Responsibilities

The major responsibilities (not limited to this) of an ideal candidate are:

Custom LLM Development:
  1. Design, develop, and implement custom LLMs that align with the strategic goals of the organization.
  2. Fine-tune pre-existing models on domain-specific datasets to enhance performance and relevance.
Data Management:
  1. Collect, preprocess, and curate high-quality datasets for training and evaluating LLMs.
  2. Implement data augmentation and cleaning techniques to improve data quality.
Model Training and Optimization:
  1. Conduct experiments to optimize model architectures and hyperparameters for improved accuracy and efficiency.
  2. Utilize cloud-based and on-premises resources for model training, ensuring scalability.
Performance Evaluation:
  1. Develop metrics and benchmarks to evaluate model performance, ensuring they meet defined KPIs.
  2. Conduct regular assessments and iterative improvements based on feedback and testing.
Collaboration and Integration:
  1. Work closely with cross-functional teams (e.g., product managers, developers, and business analysts) to identify opportunities for LLM integration into existing systems and applications.
  2. Provide technical guidance and support to team members on AI-related projects.
Research and Innovation:
  1. Stay updated on the latest advancements in NLP and machine learning technologies, including emerging trends and best practices in LLM development.
  2. Propose innovative solutions and applications of LLMs to drive business value.
Documentation and Reporting:
  1. Document processes, models, and methodologies for knowledge-sharing and compliance purposes.
  2. Prepare reports and presentations to communicate findings, progress, and insights to stakeholders.
Qualifications
  1. Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  2. Proven experience in developing and deploying LLMs or similar AI models.
  3. Strong programming skills in Python, along with experience in machine learning frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
  4. Solid understanding of natural language processing concepts and techniques.
  5. Experience with data management and preprocessing techniques for NLP tasks.
  6. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and tools for model training and deployment.
  7. Excellent problem-solving skills and ability to work independently as well as in a team-oriented environment.
  8. Strong communication skills, both verbal and written.
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