Altimate
Senior Data Scientist
Altimate - Sunnyvale, California, United States, 94087
Work at Altimate
Overview
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Overview
Senior Data Scientist
We're in search of a Senior Data Scientist who brings deep expertise in building and deploying large language models and AI systems at scale. This role is for those with extensive experience in developing production-grade AI solutions, particularly in the realm of generative AI and language models. The ideal candidate will play a crucial role in advancing our AI capabilities, designing intelligent agent architectures, and implementing sophisticated RAG pipelines that power our products used by thousands of data teams worldwide. Professional Experience:
7+ years of hands-on ML/AI experience with at least 1 year of hands-on experience in GenAI/LLM projects
Track record of successfully deploying ML/AI systems in production environments
Experience working with enterprise customers and understanding their unique requirements
Technical Skills Required:
Strong programming skills in Python, including expertise in ML stack (Hugging Face, NumPy, Pandas, scikit-learn)
Production experience with deep learning frameworks (PyTorch/Tensorflow) and transformer architectures
API development expertise (FastAPI) and production deployment experience
Proven experience with prompt engineering best practices and LLM evaluation metrics
Technical Skills Preferred:
Infrastructure & Deployment Experience with vector databases (e.g., Pinecone, Weaviate) and RAG pipelines
Experience with observability and monitoring of LLM applications
Proficiency in model compression, distillation, and deployment at scale
Model Development & LLMs Expertise in semantic search and embedding models
Experience in LLM frameworks (LangChain, LlamaIndex) and agentic AI systems
Advanced model fine-tuning techniques, including LoRA, Prompt Tuning, and Adapter Training
Projects You'll Work On:
Advanced AI Agent Architecture
: Design and implement sophisticated multi-agent systems that can understand context, make decisions, and enable seamless collaboration between AI and human data professionals.
Large-Scale RAG Systems
: Build and optimize retrieval-augmented generation pipelines that can efficiently process and utilize enterprise-scale knowledge bases.
Model Optimization & Deployment
: Implement advanced techniques (LoRA, Prompt Tuning) to adapt off-the-shelf models for specific enterprise data tasks, ensuring faster, more accurate performance.
Scalable AI Infrastructure
: Develop and optimize cloud-native architectures (AWS, Kubernetes) for large-scale training, inference, and multi-agent orchestration.
Enterprise Security & Compliance
: Implement robust security measures for LLM applications, including data anonymization, prompt injection prevention, and compliance with enterprise security standards.
Impact:
Innovation Leadership
: Shape the future of enterprise AI by developing novel approaches to autonomous data operations and AI-driven automation.
Product Development
: Direct influence on our flagship products, DataPilot and DataMates, working on cutting-edge features that define the next generation of AI-powered data tools.
Team Growth
: Help build and mentor a growing team of AI engineers, shaping our technical culture and practices.
Open Source Contribution
: Lead and contribute to our open-source initiatives, establishing yourself as a thought leader in the AI community.
Technical Growth
: Opportunity to work with the latest advancements in AI technology and shape the architecture of next-generation AI systems.
What We Offer:
Competitive salary and equity Base Salary Range: $135,000 - $210,000 [influenced by your expertise, how the interview goes, and how well you match the role]
Equity: 0.05% - 0.4%
Access to cutting-edge AI infrastructure and resources
Team offsite and opportunities to attend and present at leading industry conferences (across the world)
Learning budget for AI courses, books, and computing resources
Dynamic and intellectually stimulating work environment with a team of talented engineers
Opportunities to shape the direction of the company and leave a lasting impact
We're in search of a Senior Data Scientist who brings deep expertise in building and deploying large language models and AI systems at scale. This role is for those with extensive experience in developing production-grade AI solutions, particularly in the realm of generative AI and language models. The ideal candidate will play a crucial role in advancing our AI capabilities, designing intelligent agent architectures, and implementing sophisticated RAG pipelines that power our products used by thousands of data teams worldwide. Professional Experience:
7+ years of hands-on ML/AI experience with at least 1 year of hands-on experience in GenAI/LLM projects
Track record of successfully deploying ML/AI systems in production environments
Experience working with enterprise customers and understanding their unique requirements
Technical Skills Required:
Strong programming skills in Python, including expertise in ML stack (Hugging Face, NumPy, Pandas, scikit-learn)
Production experience with deep learning frameworks (PyTorch/Tensorflow) and transformer architectures
API development expertise (FastAPI) and production deployment experience
Proven experience with prompt engineering best practices and LLM evaluation metrics
Technical Skills Preferred:
Infrastructure & Deployment Experience with vector databases (e.g., Pinecone, Weaviate) and RAG pipelines
Experience with observability and monitoring of LLM applications
Proficiency in model compression, distillation, and deployment at scale
Model Development & LLMs Expertise in semantic search and embedding models
Experience in LLM frameworks (LangChain, LlamaIndex) and agentic AI systems
Advanced model fine-tuning techniques, including LoRA, Prompt Tuning, and Adapter Training
Projects You'll Work On:
Advanced AI Agent Architecture
: Design and implement sophisticated multi-agent systems that can understand context, make decisions, and enable seamless collaboration between AI and human data professionals.
Large-Scale RAG Systems
: Build and optimize retrieval-augmented generation pipelines that can efficiently process and utilize enterprise-scale knowledge bases.
Model Optimization & Deployment
: Implement advanced techniques (LoRA, Prompt Tuning) to adapt off-the-shelf models for specific enterprise data tasks, ensuring faster, more accurate performance.
Scalable AI Infrastructure
: Develop and optimize cloud-native architectures (AWS, Kubernetes) for large-scale training, inference, and multi-agent orchestration.
Enterprise Security & Compliance
: Implement robust security measures for LLM applications, including data anonymization, prompt injection prevention, and compliance with enterprise security standards.
Impact:
Innovation Leadership
: Shape the future of enterprise AI by developing novel approaches to autonomous data operations and AI-driven automation.
Product Development
: Direct influence on our flagship products, DataPilot and DataMates, working on cutting-edge features that define the next generation of AI-powered data tools.
Team Growth
: Help build and mentor a growing team of AI engineers, shaping our technical culture and practices.
Open Source Contribution
: Lead and contribute to our open-source initiatives, establishing yourself as a thought leader in the AI community.
Technical Growth
: Opportunity to work with the latest advancements in AI technology and shape the architecture of next-generation AI systems.
What We Offer:
Competitive salary and equity Base Salary Range: $135,000 - $210,000 [influenced by your expertise, how the interview goes, and how well you match the role]
Equity: 0.05% - 0.4%
Access to cutting-edge AI infrastructure and resources
Team offsite and opportunities to attend and present at leading industry conferences (across the world)
Learning budget for AI courses, books, and computing resources
Dynamic and intellectually stimulating work environment with a team of talented engineers
Opportunities to shape the direction of the company and leave a lasting impact