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Innovative AI Solutions Developer

3 weeks ago

Lahore, Punjab, Pakistan beBee Careers Full time

As an AI/ML Engineer, you will play a crucial role in designing, developing, and deploying innovative machine learning models and AI-driven solutions. You will work closely with cross-functional teams to ensure seamless integration of AI/ML solutions into business workflows.

Key Responsibilities:
  • Design and develop machine learning models that can accurately identify patterns and relationships in complex data sets.
  • Implement Retrieval-Augmented Generation (RAG) pipelines to improve the performance of AI models, integrating vector databases and retrieval models.
  • Fine-tune large language models (LLMs) for NLP applications, utilizing transformers and embedding-based search.
  • Collaborate with cross-functional teams to define project requirements and ensure seamless integration of AI/ML solutions into business workflows.
  • Analyze large-scale datasets, ensuring data privacy, security, and compliance with relevant regulations.
  • Develop and deploy secure and scalable ML pipelines, adhering to MLOps best practices.
  • Monitor and refine model performance using A/B testing, drift detection, explainability, and adversarial robustness techniques.
  • Implement AI security best practices, including adversarial attack detection, model integrity verification, and bias mitigation.
  • Stay up-to-date with emerging trends in LLMs, generative AI, retrieval-based AI, and secure AI development methodologies.
  • Deploy and manage AI/ML models on cloud platforms, ensuring compliance with secure AI governance frameworks.
  • Work with vector databases and retrieval frameworks to improve the performance of AI models.
Requirements:
  • 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 NLP, computer vision, deep learning, and LLMs.
  • Proficiency in RAG, embedding models, and vector databases.
  • Experience with cloud AI services (AWS SageMaker, Azure AI, Google AI Platform).
  • Strong understanding of Hugging Face Transformers, Model Hub, and tokenizers.
  • Familiarity with big data tools such as Hadoop, Spark, or Kafka.
  • Strong understanding of adversarial ML attacks, model explainability, AI governance, and bias mitigation techniques.
  • Knowledge of security best practices for AI.
  • Strong foundation in algorithms, data structures, and model evaluation techniques.
  • Proven ability to deliver end-to-end AI/ML projects.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills.
  • Ability to work on-site and manage multiple projects effectively.