AI/ML Engineer 

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, develop, and optimize machine learning models and AI-driven solutions to address complex business challenges. 
• Implement Retrieval-Augmented Generation (RAG) 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. 
• Preprocess, clean, and analyze large-scale datasets while ensuring data privacy, security, and compliance (e.g., GDPR, HIPAA, SOC 2). 
• Develop and deploy secure and scalable ML pipelines, leveraging MLOps best practices for continuous integration and deployment. 
• Monitor, 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 (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and retrieval frameworks (e.g., LangChain, LlamaIndex). 
• Build and optimize secure APIs, ensuring protection against data leaks, prompt injection attacks, and unauthorized access. 
• Other duties as needed.

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 (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. 

Perks and Benefits:

• Competitive Salary
• Provident Fund and Medical Allowances
• Professional Training and Certifications
• Paid Time Off
• Semi-Annual Performance Bonus and Awards
• Hajj/Umrah Leaves
• Maternity/Paternity Leaves
• Wedding Leaves
• Long Service Bonus and Awards
• Friday Lunch
• Dynamic Working Environment