Description

Design, develop, and deploy machine learning and deep learning models for production environments.

This role is on-site.

Responsibilities

• Build and optimize NLP, computer vision, and predictive analytics solutions using Python, Java, or Scala.
• Fine-tune pre-trained models (LLMs, transformers) and implement prompt engineering techniques for business use cases.
• Deploy models into production via APIs, containers, and microservices, ensuring scalability and performance.
• Build CI/CD pipelines for ML workflows using Jenkins, GitHub Actions, or GitLab CI to support MLOps practices.
• Integrate AI solutions into cloud platforms (AWS), utilizing services like SageMaker or Vertex AI.

Required Skills

• 5+ years of experience in AI/ML engineering.
• Strong proficiency in Python, with experience in TensorFlow, PyTorch, or Scikit-learn.
• Hands-on experience with Docker, ECS/EKS, and containerized deployments.
• Proficiency in data processing tools: Pandas, NumPy, and Spark.
• Experience with CI/CD tools: Jenkins, GitHub Actions, or GitLab CI.
• Understanding of ETL processes and data pipelines.
• Familiarity with SQL, NoSQL databases, and distributed systems.
• Experience with Git for version control.

Preferred Skills

• Experience with Hugging Face, OpenAI APIs, or Claude CLI.
• Background in the airline industry.

Key Skills

Education

Bachelor's degree