Senior AI Engineer

Project Description:

• We are seeking a highly skilled Senior AI Engineer to design, build, and deploy scalable artificial intelligence and machine learning solutions. This role requires strong expertise in developing predictive models, implementing AI-powered applications, and integrating them into enterprise systems. The ideal candidate combines deep technical proficiency with practical experience in cloud platforms and production-grade AI systems.

Responsibilities:

AI/ML Model Development

• Design, develop, and optimize machine learning and deep learning models
• Build NLP, computer vision, or predictive analytics solutions
• Train, test, and evaluate models for accuracy, scalability, and performance
• Fine-tune pre-trained models (e.g., LLMs, transformers) for business use cases

Data Engineering & Processing (Optional)

• Collect, clean, and preprocess structured and unstructured datasets
• Work with large-scale data pipelines and streaming data systems
• Implement feature engineering and data transformation workflows

Deployment & MLOps

• Deploy models into production using APIs, containers, or microservices
• Work with DevOps to build CI/CD pipelines for ML workflows (MLOps)
• Monitor model performance, drift, and reliability in production
• Optimize latency, throughput, and cost efficiency

Cloud & System Integration

• Integrate AI solutions into cloud platforms (AWS)
• Work with services like SageMaker, Azure ML, Vertex AI, or OpenAI APIs
• Collaborate with DevOps, backend, and frontend teams for implementation

Research & Innovation

• Stay up to date with emerging AI technologies and frameworks
• Evaluate and implement GenAI, LLMs, and prompt engineering techniques
• Prototype and experiment with new AI-driven solutions

Mandatory Skills Description:

Technical Skills

• Programming: Python (preferred), Java, or Scala
• ML Frameworks: TensorFlow, PyTorch, Scikit-learn
• AI/GenAI: prompt engineering (preferred), Claude CLI / Code(preferred), LLMs(preferred) Hugging Face, OpenAI APIs
• Data Tools (Optional): Pandas, NumPy, Spark
• APIs & Microservices development
• Version control (Git)

Cloud & DevOps

• Experience with AWS
• Containers: Docker, ECS/EKS
• CI/CD pipelines (GitHub Actions Or Jenkins Or GitLab CI)

Data & Systems

• Databases: SQL, NoSQL
• Familiarity with data pipelines and ETL processes (Optional)
• Understanding of distributed systems

Nice-to-Have Skills Description:

• Airlines experience

Languages:

• English: C1 Advanced