Automation Engineer

Required Skills & Qualifications

- 3+ years of hands-on experience in software development and driving technical innovation projects.

- Strong full-stack development proficiency (e.g., frontend: React/JavaScript/TypeScript; backend: Node.js/Python/Java/C#; databases: SQL/NoSQL).

- Solid programming fundamentals, including data structures, algorithms, and problem-solving.

- Proven ability to lead end-to-end innovation projects (from ideation and architecture to delivery and measurement of impact).

- 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).

- Expertise in modern tools and frameworks (e.g., cloud platforms, CI/CD, prototyping tools, ML pipelines).

- Familiarity with cloud platforms (AWS/Azure/GCP), DevOps (Jenkins/GitHub Actions/Docker/Kubernetes), and version control (Git).

- Excellent critical thinking, analytical skills, and ability to debug complex, distributed systems.

- Strong communication skills with experience presenting technical recommendations and innovative ideas to stakeholders.

- Bachelors/Masters degree in Computer Science, Engineering, or related field (or equivalent experience).

Preferred Qualifications

- Experience building innovative AI-driven features or products (e.g., generative tools, intelligent agents, predictive systems).

- Contributions to open-source projects, research, or relevant publications in AI/innovation.

- Certifications in cloud, AI/ML, or related fields (e.g., AWS/Azure ML).