Artificial Intelligence & Machine Learning Engineer – AI-ML

Activekey Solutions; Lahore; On-site; PKR 1,400,000 - 2,000,000; Full time

Job summary

An innovative AI solutions provider in Lahore is seeking an experienced AI/ML Engineer to develop and optimize AI models. The ideal candidate will have 5+ years of experience with frameworks like Rasa and SpaCy, focusing on conversational AI and NLP applications. This role involves building scalable AI solutions and collaborating with teams to deliver cutting-edge products. The position offers a full-time contract with potential for growth.

Qualifications

• 5+ years of experience in developing, training, and optimizing AI models.
• Proficiency in machine learning frameworks like TensorFlow and PyTorch.
• Strong understanding of NLP concepts including tokenization and named entity recognition.

Responsibilities

• Build, train, and optimize machine learning and AI models for applications.
• Implement and customize large language models including LLaMA.
• Collaborate with multidisciplinary teams to integrate AI models into production.

Skills

Python

TensorFlow

PyTorch

Rasa

SpaCy

Cloud platforms (AWS, GCP, Azure)

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Scikit-learn

Docker

Kubernetes

Job description

Job Category: Experienced

Job Type: Full Time

About The Role

We are seeking a talented AI/ML Engineer with 5+ years of experience in developing, training, and optimizing AI models. The ideal candidate will have hands-on experience with frameworks like Rasa, SpaCy, and LLaMA, working on innovative applications in conversational AI, NLP, and large language models (LLMs). This role involves designing scalable AI CallBot and collaborating with multidisciplinary teams to deliver cutting-edge products.

Key Responsibilities

• Build, train, and optimize machine learning and AI models for real-world applications.
• Develop and fine-tune conversational AI systems using Rasa and NLP pipelines with SpaCy or similar plateforms.
• Implement and customize large language models, including LLaMA and other transformer-based architectures.
• Preprocess and analyze structured and unstructured datasets for AI model development.
• Evaluate model performance and iteratively improve accuracy, efficiency, and scalability.
• Collaborate with product managers and engineers to integrate AI models into production systems.
• Deploy models on cloud platforms and ensure reliable operation in real-time environments.
• Document algorithms, workflows, and processes for reproducibility and team knowledge sharing.
• Stay updated with advancements in AI, LLMs, and NLP frameworks, applying the latest techniques to projects.
  
  

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 3+ years of experience in developing, training, and deploying AI/ML models.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Hands-on experience with Rasa, SpaCy, and large language models like LLaMA.
• Strong understanding of NLP concepts, including tokenization, named entity recognition, and text classification.
• Familiarity with transformer-based architectures (BERT, GPT, or similar).
• Experience with cloud platforms (AWS, GCP, or Azure) and deploying models in production environments.
• Solid grasp of data preprocessing, feature engineering, and model evaluation.
  
  

Preferred Qualifications

• Proven ability to design and implement conversational AI CallBot end-to-end.
• Experience with additional NLP frameworks like Hugging Face or OpenAI API.
• Knowledge of MLOps practices, including model monitoring and versioning.
• Familiarity with Docker, Kubernetes, and microservices architecture.
• Experience working with big data tools such as Spark or Hadoop.
  
  

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