Senior AI Engineer
منذ 2 أيام
sharjah, الإمارات العربية المتحدة
Good co India
دوام كامل
مجانًا عبر البريد الإلكتروني أو Google
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Role & responsibilities
- Design, develop, and deploy advanced AI and machine learning solutions to address complex business challenges.
- Build and optimize Generative AI applications, Large Language Models (LLMs), and AI-powered intelligent systems.
- Develop and implement Retrieval-Augmented Generation (RAG) pipelines, AI agents, and autonomous workflows.
- Research, evaluate, and implement emerging AI technologies, frameworks, algorithms, and architectures.
- Design, train, fine-tune, and optimize machine learning and deep learning models for production environments.
- Develop NLP, computer vision, predictive analytics, and recommendation system solutions.
- Build scalable AI architectures and integrate AI models into enterprise applications through APIs and microservices.
- Implement prompt engineering, model evaluation, fine-tuning, and inference optimization techniques.
- Work with vector databases, embedding models, and knowledge retrieval systems to enhance AI application performance.
- Develop and maintain end-to-end MLOps pipelines for model training, deployment, monitoring, and continuous improvement.
- Collaborate with software engineers, data scientists, product managers, and business stakeholders to deliver AI-driven solutions.
- Ensure AI solutions meet performance, scalability, reliability, security, and data privacy requirements.
- Monitor model performance, identify bias, reduce hallucinations, and implement responsible AI practices.
- Optimize AI infrastructure, computational resources, model latency, and deployment costs.
- Mentor junior AI/ML engineers, conduct code reviews, and contribute to technical architecture and engineering best practices.
- 6 to 11 years of experience in Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or related technical domains.
- Strong hands-on expertise in Python, machine learning algorithms, deep learning, and statistical modelling.
- Proven experience developing, training, fine-tuning, and deploying production-grade AI/ML models.
- Strong understanding of Generative AI, LLMs, prompt engineering, RAG architectures, and AI agent development.
- Experience with frameworks and libraries such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, and LlamaIndex.
- Hands-on experience with vector databases such as Pinecone, Weaviate, FAISS, or ChromaDB.
- Strong knowledge of NLP, computer vision, neural networks, and model optimization techniques.
- Experience building scalable AI applications, REST APIs, microservices, and cloud-native solutions.
- Familiarity with MLOps, model deployment, monitoring, Docker, Kubernetes, and CI/CD pipelines.
- Experience working with cloud AI platforms and services across AWS, Microsoft Azure, or Google Cloud Platform.
- Strong understanding of data engineering, SQL, NoSQL, data preprocessing, feature engineering, and distributed computing.
- Knowledge of AI model evaluation, explainability, responsible AI, data security, and privacy standards.
- Ability to translate complex business requirements into practical AI solutions with measurable business outcomes.
- Strong analytical thinking, problem-solving, communication, and cross-functional collaboration skills.
- Experience mentoring engineers and contributing to technical architecture and AI engineering standards.
- Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field; master's degree or PhD preferred.
- Relevant certifications and demonstrated AI project experience, research contributions, or technical publications are advantageous.