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, Jenkins, or GitLab CI)

Data & Systems

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

Key Skills

Education

Bachelor's degree