Location: (Add location / Remote / Hybrid as applicable)
Job Summary
We are looking for an experienced AI / Machine Learning Engineer with strong expertise in Python, Generative AI, and AI-assisted development tools. The ideal candidate will design, build, and deploy scalable AI/ML solutions, leverage modern GenAI APIs, and integrate intelligent capabilities into enterprise-grade applications.
This role requires hands‑on experience across model development, GenAI integration, CI/CD pipelines, and production‑grade AI systems.
Key Responsibilities
- Design, develop, and deploy AI/ML models for real‑world business use cases
- Build and integrate Generative AI solutions using APIs such as:
- Google Gemini
- Hugging Face (Transformers, Inference APIs)
- Develop AI‑driven applications using Python and modern ML frameworks
- Leverage AI‑assisted development tools to accelerate development and improve code quality:
- Cursor
- Windsurf
- Amazon CodeWhisperer
- Fine‑tune, optimize, and evaluate ML/LLM models for performance, scalability, and cost efficiency
- Collaborate with product, engineering, and data teams to translate business requirements into AI solutions
- Implement CI/CD pipelines for ML and AI workloads using:
- GitHub Actions
- Jenkins
- Ensure best practices for model versioning, monitoring, and deployment (MLOps)
- Write clean, scalable, well‑documented, and production‑ready code
- Stay updated with emerging trends in AI, ML, and Generative AI technologies
Required Skills & Experience
- Core Skills
- 5–10 years of hands‑on experience in AI / Machine Learning development
- Strong proficiency in Python
- Solid understanding of:
- Machine Learning algorithms
- NLP and LLM‑based systems
Experience working with Generative AI APIs:
Hands‑on experience with AI‑assisted coding tools:
- Cursor / Windsurf
- Amazon CodeWhisperer
- Experience with CI/CD pipelines:GitHub Actions
- Jenkins
- Strong problem‑solving, analytical, and debugging skills