LMM Engineer (OR-00469)

We are looking for a skilled and motivated Large Language Model (LLM) Engineer to join one of our client's team. The successful candidate will help integrate advanced AI and natural language processing (NLP) technologies into the existing systems, automating repetitive tasks, enhancing communication, and improving overall operational efficiency. The LLM Engineer will work closely with cross-functional teams to design, implement, and maintain AI-driven solutions that solve complex business problems.

Must Haves:

• Experience with LLMs and NLP Technologies: Proven experience working with large language models (e.g., GPT-4, BERT, T5, etc.), as well as natural language processing techniques and libraries (e.g., HuggingFace,SpaCy,NLTK). 
• Programming Skills: Strong proficiency in Python and familiarity with relevant libraries (e.g., TensorFlow, PyTorch, Hugging Face). Knowledge of other programming languages (e.g., JavaScript, Java, or C++) is a plus. 
• Machine Learning Knowledge: Solid understanding of machine learning concepts, including model training, evaluation, optimization, and deployment. Experience with fine-tuning pre-trained models for specific tasks is highly desirable. 
• Data Management: Strong skills in managing and processing large datasets (structured and unstructured). Experience with data wrangling, cleaning, and augmentation.
• Cloud and Deployment: Familiarity with deploying AI models in cloud environments (e.g., AWS, Google Cloud, Azure) and using containerization technologies (e.g., Docker).
• Problem-Solving & Critical Thinking: Ability to think critically, diagnose issues, and find creative solutions to complex problems in business operations.
• Communication Skills: Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders and collaborate effectively across teams.

Preferred Qualification:

• Experience working in a small business environment or startup.
• Knowledge of automation tools, RPA (Robotic Process Automation), and integration techniques for enterprise software solutions.
• Familiarity with user experience (UX) design principles when building AI-powered interfaces or chatbots.
• A background in business process optimization or operations management.
• Ability to prompt AI models to get desired outcomes and then build on outputs to get progressively more suitable results.
• Understanding on how to upload SOPs, operations manuals and other documents in order to train private AI models.
• Ability to adjust outputs to fine tune results and answers to progressively improve generated results.
  

Responsibilities:

• Develop and Deploy LLM Solutions: Design and implement large language model-based systems to automate workflows, improve communication, and assist with decision-making processes across various business functions.
• Integrate AI into Existing Workflows: Identify and prioritize workflows that could benefit from AI and NLP technologies, and work on integrating these solutions into existing systems such as CRM, project management tools, and communication platforms.
• Optimization & Fine-tuning: Fine-tune pre-trained models for business-specific use cases to maximize efficiency and accuracy in natural language understanding and generation. Continuously improve model performance over time.
• Collaborate with Stakeholders: Work closely with other engineers, data scientists, and business stakeholders to gather requirements and understand the needs of various departments (e.g., marketing, operations, customer support, etc.) to create tailored AI solutions.
• AI and NLP Research: Stay updated on the latest advancements in LLMs, NLP techniques, and AI technologies. Experiment with new models, approaches, and tools to improve the capabilities of AI-driven workflows.
• Data Management & Quality Assurance: Ensure that data used to train and fine-tune models is clean, well-organized, and of high quality. Monitor and evaluate model outputs for relevance and accuracy, making adjustments as necessary.
• Automation & Scalability: Develop AI solutions that can scale as the company grows, with an emphasis on automation and reducing manual interventions.
• Documentation & Training: Document processes, models, and solutions clearly and ensure the team is equipped with the knowledge needed to maintain and build upon the AI systems.

Other Details:

• Job Timings: Evening shift following US EST
• Office location: Off to Shahrah-e-Faisal, PECHS, Karachi
  

Regarding the remote, the candidate will arrange a separate workspace and the required gadgets (Laptop-Corei5 6th generation minimum, noise cancelling headphones, webcam, power backup)