AI Engineer

1. About the Role
- We are looking for an experienced Data Scientist, AI Engineer to join our AI team and work on end-to-end AI solutions, from Machine Learning and predictive analytics to Generative AI, NLP, RAG, and Agentic AI.
- You will work closely with technical teams and business stakeholders to transform real-world business problems into scalable, production-ready AI solutions.
2. Key Responsibilities
- Design, develop, and deploy end-to-end Machine Learning and AI solutions, including traditional ML, predictive analytics, time series forecasting, deep learning, and Generative AI.
- Analyze complex business problems and translate business requirements into scalable AI/Data Science solutions.
- Develop and optimize NLP, LLM, and Deep Learning models for real-world business applications.
- Build LLM-powered applications, RAG systems, and Agentic AI workflows.
- Develop and maintain production-grade ML/AI pipelines using Python and PySpark.
- Conduct data analysis, feature engineering, model development, evaluation, optimization, and deployment.
- Collaborate with business stakeholders and technical teams to deliver practical and measurable business impact.
- Leverage Generative AI tools and Agentic AI frameworks to improve productivity and automate workflows.
- Communicate analytical findings, technical concepts, and AI solutions effectively to both technical and non-technical audiences.
- Continuously research and apply emerging technologies and methodologies in AI, Machine Learning, and Generative AI.
- Working arrangement: Full-time remote or hybrid.