FreeHire

Luxoft

Senior AI Engineer

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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

SKILLS

Must have

  • 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

Airlines experience