Trainee AI/ML Engineer
Indexed description
This role offers the opportunity to work on cutting-edge AI solutions in NLP/NLU, LLMs, and applied AI, driving real business impact and shaping the future of intelligent automation.
馃攽Key Responsibilities
- Build and deploy semantic search pipelines, RAG systems, and conversational AI solutions.
- Design and integrate multi-agent workflows for automation and intelligent decision-making.
- Fine-tune and optimize LLMs and NLP models for domain-specific use cases.
- Deliver end-to-end AI applications, from data ingestion and model training to production deployment.
- Stay current with Generative AI advancements and apply them to solve real-world business problems.
- Proven experience with LLMs and NLP/NLU techniques.
- Hands-on expertise in semantic search and RAG implementation.
- Familiarity with multi-agent frameworks such as LangChain and LlamaIndex.
- Strong proficiency in Python, ML frameworks (PyTorch, TensorFlow), and vector databases.
- Exposure to cloud platforms including AWS, Azure, or GCP, along with MLOps best practices.
- Bachelor鈥檚 or Master鈥檚 degree in Computer Science, AI, Data Science, or a related field.
- Minimum 1 year of experience in AI/ML solution development.
- Solid foundation in software engineering principles and best practices.
- Work on high-impact AI solutions with global exposure.
- Be part of a fast-growing AI innovation journey.
- Collaborative, innovative, and growth-oriented work culture.
- Continuous learning opportunities with access to the latest AI/ML tools and resources.
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