Innovative AI and Machine Learning Solutions Developer

21 hours ago

Lahore, Punjab, Pakistan beBee Careers Full time

We are seeking a highly skilled AI/ML engineer to design, develop, and deploy innovative machine learning models and AI-driven solutions. This is an on-site role offering an exciting opportunity for individuals passionate about artificial intelligence, data science, and building intelligent systems to solve real-world challenges.

Responsibilities
  • Design and develop machine learning models and AI-driven solutions to address complex business challenges.
  • Implement retrieval-augmented generation pipelines to enhance AI model capabilities integrating vector databases and retrieval models.
  • Develop and fine-tune large language models (LLMs) for NLP applications leveraging transformers and embedding-based search.
  • Utilize Hugging Face Transformers and Model Hub for fine-tuning and deploying state-of-the-art models.
  • Collaborate with cross-functional teams to define project requirements and integrate AI/ML solutions into business workflows.
  • Analyze large-scale datasets while ensuring data privacy, security, and compliance with regulations such as GDPR, HIPAA, and SOC 2.
  • Develop and deploy secure and scalable ML pipelines leveraging MLOps best practices for continuous integration and deployment.
  • Evaluate 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 updated with LLMs, generative AI, retrieval-based AI trends, and secure AI development methodologies.
  • Deploy and manage AI/ML models on cloud platforms such as AWS, Azure, or GCP ensuring compliance with secure AI governance frameworks.
  • Work with vector databases such as FAISS, Pinecone, Weaviate, ChromaDB, and retrieval frameworks such as LangChain, LlamaIndex.
  • Build and optimize secure APIs ensuring protection against data leaks, prompt injection attacks, and unauthorized access.
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 natural language processing (NLP), computer vision, deep learning, and LLMs.
  • Proficiency in retrieval-augmented generation, 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 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.
Perks and Benefits
  • Provident Fund and Medical Allowances.
  • Professional Training and Certifications.
  • Paid Time Off.
  • Semi-Annual Performance Bonus and Awards.

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