Lead GenAI & Computer Vision Scientist

Nityo Infotech; Santa Clara (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Applied Materials AIML Team is seeking a Lead AI Engineer / Data Scientist who blends deep algorithmic and DL expertise with strong solutioning and customer-facing skills. The hybrid role spans senior engineering, tech leadership, and trusted advisory work across GenAI, CV, forecasting, and optimization.

You will design and deploy end-to-end AI systems, including agentic workflows with multi-agent orchestration and integration with Claude and other LLMs, while guiding a team and resolving

Qualifications

• Bachelor's & Master's degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent practical experience).
• Experience in agentic frameworks and protocols (e.g., LangGraph, LlamaIndex, AutoGen, CrewAI, MCP) and with RAG and tool-use patterns.
• Familiarity with MLOps tooling (experiment tracking, CI/CD for ML, model registries, monitoring).
• Experience with distributed training and inference optimization (quantization, batching, GPU utilization).
• Exposure to containerization and orchestration (Docker, Kubernetes).

Responsibilities

• Design end-to-end ML/LLM and agentic solutions, from problem framing and data strategy through to deployment and monitoring.
• Architect agentic systems: multi-step, tool-using, and multi-agent workflows: including orchestration, tool/function integration, memory, and guardrails.
• Own the technical architecture for solutions: model selection, fine-tuning approach, agent/orchestration design, serving strategy, API design, and infrastructure footprint.
• Lead and mentor a team of data scientists and developers, break complex, ambiguous customer requirements into structured project plans with clear milestones and deliverables.
• Apply strong algorithmic fundamentals to select, adapt, and implement the right approach for each problem: classic ML, deep learning, or generative/agentic AI.
• Build deep learning models on unstructured data (images, video, text, audio, sensor/time-series) for real-world production use.
• Design and ship computer vision solutions (detection, classification, segmentation, OCR, tracking, etc.) at production quality and scale.
• Develop forecasting models (time-series and demand/behavioral forecasting) and integrate them into decisioning workflows.
• Work with foundation models including Claude and other LLMs: prompting, fine-tuning, evaluation, and integration.

Skills

Leadership & mentoring

End-to-end ML/LLM solution design

Algorithmic fundamentals

Build DL models on unstructured data

Computer vision pipelines

Forecasting & optimization

Foundation models & prompting

Customer-facing / solutioning

Education

Bachelor's & Master's in CS/Data Science/ML or related field

Tools

Docker

Kubernetes

Job description

Applied Materials AIML Team is seeking a Lead AI Engineer / Data Scientist who blends deep algorithmic and DL expertise with strong solutioning and customer-facing skills. The hybrid role spans senior engineering, tech leadership, and trusted advisory work across GenAI, CV, forecasting, and optimization.

You will design and deploy end-to-end AI systems, including agentic workflows with multi-agent orchestration and integration with Claude and other LLMs, while guiding a team and resolving