Machine Learning Engineer - Generative AI Solutions

This role is a highly specialized business-facing AI team. We deliver professional AI products and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. We look for individuals with strong, unique specializations to improve the overall strength of the team. This role is the right fit for you if you love working with customers, teammates, and fuelling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly.Objectives of role :- Develop cutting-edge GenAI solutions, incorporating the latest techniques from Mosaic AI research to solve business problems- Own production rollouts of consumer and internally facing GenAI applications- Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmapRequired / Proven experience with the following :- Experience in building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy- Expertise in deploying production-grade GenAI applications, including evaluation and optimizations- Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.- Experience in building production-grade machine learning deployments on AWS, Azure, or GCP- Graduate degree in a quantitative discipline like Computer Science or equivalent practical experience- Passion for collaboration, life-long learning, and driving business value through AIPreferred :- Experience in using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasetsWe require fluency in English and willingness to work across time zones. (ref:hirist.tech) This role is a highly specialized business-facing AI team. We deliver professional AI products and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. We look for individuals with strong, unique specializations to improve the overall strength of the team. This role is the right fit for you if you love working with customers, teammates, and fuelling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly.Objectives of role :- Develop cutting-edge GenAI solutions, incorporating the latest techniques from Mosaic AI research to solve business problems- Own production rollouts of consumer and internally facing GenAI applications- Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmapRequired / Proven experience with the following :- Experience in building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy- Expertise in deploying production-grade GenAI applications, including evaluation and optimizations- Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.- Experience in building production-grade machine learning deployments on AWS, Azure, or GCP- Graduate degree in a quantitative discipline like Computer Science or equivalent practical experience- Passion for collaboration, life-long learning, and driving business value through AIPreferred :- Experience in using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasetsWe require fluency in English and willingness to work across time zones. (ref:hirist.tech)