Automation Engineer

Skills

• ai
• aws
• azure
• ci-cd
• cloud
• csharp
• data-science
• devops
• distributed-systems
• docker
• fine-tuning
• gcp
• generative-ai
• git
• github
• github-actions
• java
• javascript
• jenkins
• kubernetes
• llm
• machine-learning
• nodejs
• nosql
• pandas
• prompt-engineering
• prototyping
• python
• pytorch
• react
• scikit-learn
• sql
• tensorflow
• typescript
• version-control

Must have

1. - 3+ years of hands-on experience in software development and driving technical innovation projects.
2. - Strong full-stack development proficiency (e.g., frontend: React/JavaScript/TypeScript; backend: Node.js/Python/Java/C#; databases: SQL/NoSQL).
3. - Solid programming fundamentals, including data structures, algorithms, and problem-solving.
4. - Proven ability to lead end-to-end innovation projects (from ideation and architecture to delivery and measurement of impact).
5. - Hands-on experience with AI/GenAI (e.g., LLMs, prompt engineering, RAG, fine-tuning) and data science (e.g., Python, pandas, scikit-learn, TensorFlow/PyTorch).
6. - Expertise in modern tools and frameworks (e.g., cloud platforms, CI/CD, prototyping tools, ML pipelines).
7. - Familiarity with cloud platforms (AWS/Azure/GCP), DevOps (Jenkins/GitHub Actions/Docker/Kubernetes), and version control (Git).
8. - Excellent critical thinking, analytical skills, and ability to debug complex, distributed systems.
9. - Strong communication skills with experience presenting technical recommendations and innovative ideas to stakeholders.
10. - Bachelors/Masters degree in Computer Science, Engineering, or related field (or equivalent experience).

Nice to have

1. - Experience building innovative AI-driven features or products (e.g., generative tools, intelligent agents, predictive systems).
2. - Contributions to open-source projects, research, or relevant publications in AI/innovation.
3. - Certifications in cloud, AI/ML, or related fields (e.g., AWS/Azure ML).

Full description