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Salary Not Disclosed
1 Vacancy
Job Description
Good to have hands-on experience in applied AI/ML engineering with 2 years with a track record of developing and deploying business-critical machine learning models and applications in production.s
Proficient in programming languages like Python for model development and experimentation and integration with GenAI platform.
Strong collaboration and communication skills to work effectively with geographically spread cross-functional teams communicate complex concepts and contribute to interdisciplinary projects.
Strong problem-solving and analytical skills with emphasize on attention to detail.
Experience with cloud platforms for deploying and scaling AI/ML models.
Knowledge of SRE practices.
Knowledge of large language models (LLMs) and accompanying toolsets the LLM ecosystem (e.g. Lang chain Vector databases opensource Models like Mistral Llama etc)
Exposure to cloud automation technologies such as Terraform
Assess and choose suitable LLM tools and models for diverse tasks including but not limited to curating custom datasets and fine-tune LLM with a focus on parameter-efficient mixture-of-expert and instruction methods designing and developing advanced LLM prompts Retrieval-Augmented Generation (RAG) solutions and Intelligent agents for the LLMs and executing experiments to push the capability limits of LLM models and enhance their dependability.
Employment Type
Full-time
