AI/ML Engineering Specialist

2 days ago

Lahore, Punjab, Pakistan beBeeArtificialintelligence Full time $120,000 - $160,000
Job Title: AI/ML Engineering Specialist

We are seeking a highly skilled AI/ML Engineer to design, develop and deploy innovative machine learning models and AI-driven solutions. Our ideal candidate will have expertise in natural language processing (NLP), computer vision, deep learning and large language models (LLMs).

Key Responsibilities:
  1. Design, develop and optimize machine learning models and AI-driven solutions to address complex business challenges.
  2. Implement Retrieval-Augmented Generation (RAG) pipelines to enhance AI model capabilities, integrating vector databases and retrieval models.
  3. Develop and fine-tune large language models (LLMs) for NLP applications, leveraging transformers and embedding-based search.
  4. Utilize Hugging Face Transformers and Model Hub for fine-tuning and deploying state-of-the-art models.
  5. Collaborate with cross-functional teams to define project requirements and integrate AI/ML solutions into business workflows.
  6. Preprocess, clean and analyze large-scale datasets while ensuring data privacy, security and compliance.
  7. Develop and deploy secure and scalable ML pipelines, leveraging MLOps best practices for continuous integration and deployment.
  8. Monitor, evaluate and refine model performance using A/B testing, drift detection, explainability and adversarial robustness techniques.
  9. Implement AI security best practices, including adversarial attack detection, model integrity verification and bias mitigation.
  10. Stay updated with LLMs, generative AI, retrieval-based AI trends and secure AI development methodologies.
  11. Deploy and manage AI/ML models on cloud platforms such as AWS, Azure or GCP, ensuring compliance with secure AI governance frameworks.
  12. Work with vector databases (e.g. FAISS, Pinecone, Weaviate, ChromaDB) and retrieval frameworks (e.g. LangChain, LlamaIndex).
  13. Build and optimize secure APIs, ensuring protection against data leaks, prompt injection attacks and unauthorized access.
Requirements:
  • At least 2 years of experience in AI/ML model development and deployment.
  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence or a related field.
  • Strong programming skills in Python (preferred), R* or Java*.
  • Hands-on experience with ML frameworks like TensorFlow, PyTorch or Keras.
  • Expertise in natural language processing (NLP), computer vision, deep learning and LLMs.
  • Proficiency in retrieval-augmented generation (RAG), embedding models and vector databases (FAISS, Pinecone, Weaviate, ChromaDB).
  • Experience with cloud AI services (AWS SageMaker, Azure AI, Google AI Platform).
  • Strong understanding of Hugging Face Transformers, Model Hub and tokenizers for model fine-tuning and deployment.
  • Familiarity with big data tools such as Hadoop, Spark or Kafka (preferred).
  • Strong understanding of adversarial ML attacks, model explainability, AI governance and bias mitigation techniques.
  • Knowledge of security best practices for AI, including prompt injection protection, data anonymization and secure model deployment.
  • Strong foundation in algorithms, data structures and model evaluation techniques.
  • Proven ability to deliver end-to-end AI/ML projects, from concept to production, with a focus on secure and responsible AI.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication skills to collaborate with teams and present findings.
  • Ability to work on-site and manage multiple projects effectively.

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