Requirements
- Excellent problem-solving skills and strong communication
- Technical Skills:
- Advanced degree in Computer Science, Data Science, Machine Learning, or related field
- Experience with JavaScript or Python and proficiency with modern frameworks
- Proven expertise in crafting and developing scalable applications using various concepts
- Experience in working with SQL & NoSQL databases
- Experience in integrating ML/Generative AI models
- Knowledge in CI/CD deployments, monitoring, alerting, Kubernetes-based deployments
- 5+ years of proven experience working with the mentioned tech stack
- Bachelor’s or equivalent experience in CS or related field
- Portfolio of work (GitHub, live projects)
Nice to Haves
- Experience in machine learning or data science
- Proficiency in ML frameworks like PyTorch and TensorFlow
- Proven experience with Large Language Models (e.g. GPT, BERT) and prompt engineering
- Ability to quickly generate working code with a Generative AI coding copilot
- Expertise in fine-tuning and deploying AI models in production environments
- Strong knowledge of Retrieval-Augmented Generation (RAG) and related techniques
- Familiarity with marketing performance metrics applied in AI models
- Ability to suggest new projects and their benefits for the business
What You'll Be Doing
- Discover success metrics for customers through data analysis
- Automate hypotheses into self-learning AI software
- Build services integrating traditional ML and generative AI
- Design and implement engineering strategies to optimize model performance
- Utilize techniques like Retrieval-Augmented Generation (RAG) to enhance model output
- Collaborate with cross-functional teams to address AI-related challenges
- Demonstrate the latest generative AI innovations to stakeholders
Perks and Benefits
No specific perks and benefits listed.