Databricks izstrādā vienotu datu un mākslīgā intelekta platformu organizācijām, kurām nepieciešams pārvaldīt liela apjoma datus, veidot mašīnmācīšanās sistēmas un pārvērst analītiku ražošanas lietotnēs. Tās tehnoloģija apvieno datu inženieriju, Apache Spark apstrādi, analītiku un mašīnmācīšanās operācijas, palīdzot tehniskajām komandām strādāt visā datu dzīves ciklā — no apstrādes un eksperimentēšanas līdz ieviešanai un atziņu radīšanai.
Senior AI Engineer, Forward Deployed (India, Remote)
Build and launch production GenAI applications for Databricks customers. Advise teams on AI solutions and help shape product roadmaps through professional services.
Apraksts
- Build GenAI solutions informed by Databricks research to address customer needs.
- Lead production launches of GenAI applications for both external users and internal teams.
- Advise customers across a range of domains on technical decisions.
- Present at events such as the Data + AI Summit.
- Work with product and engineering teams to influence priorities and product direction.
- Contribute to internal expert teams and strategic initiatives.
Prasības
- Hands-on experience developing GenAI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning, with tools such as Hugging Face, LangChain, or DSPy.
- Expertise deploying production-ready GenAI applications, including evaluation and optimization.
- Substantial industry data science experience using tools such as pandas, scikit-learn, and PyTorch.
- Experience deploying production machine learning systems on AWS, Azure, or Google Cloud Platform.
- A graduate degree in a quantitative field such as computer science, engineering, statistics, or operations research, or equivalent practical experience.
- Experience explaining or teaching technical concepts to both technical and non-technical audiences.
- Willingness to travel to meet customers as needed, approximately once every four to eight weeks.
Priekšrocības
- Benefits and perks are comprehensive; details vary by region and are provided in Databricks’ regional benefits document.
- Remote work arrangement.
- Opportunities to present at events such as the Data + AI Summit.
- Opportunities to build recognition as a thought leader inside and outside the company.
- Collaboration with product and engineering teams, with opportunities to influence priorities and product direction.