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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead AI Engineer / Data Scientist - **Company:** Nityo Infotech Corporation - **Location:** Campbell, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Continuous Integration, Distributed Computing Environment, Machine Learning, OpenCV, Performance Tuning, Tensorflow, SciPy, Unstructured Data, Pytorch, Prophet, Large Language Models, Multi-Agent Systems, Deep Learning, Generative AI, Keras, Data Strategy, Build Management, Containerization, Scikit Learn, Kubernetes, Information Technology, HuggingFace, Machine Learning Operations, Virtual Agents, Api Design, Docker - **Published:** August 22, 2026 - **Apply:** https://www.dice.com/job-detail/fc86265e-b72c-43be-941e-360b296d79a6 ## About the Role * 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). ## Description We are looking for a Lead AI Engineer / Data Scientist: an AI-engineering-heavy practitioner who combines deep algorithmic and deep learning expertise with strong solutioning and customer-facing skills. This is a hybrid role: part senior AI engineer, part technical lead, and part trusted advisor to customers. You will design and build production AI systems end to end across multiple domains: Generative and Agentic AI (including working with foundation models such as Claude), Computer Vision on unstructured data, forecasting, and optimization. Your work spans understanding the customer's problem and datasets, selecting the right algorithms, fine-tuning, and deploying models, architecting agentic workflows, and standing up the surrounding infrastructure. You will be the technical face of these solutions: guiding developers, resolving customer issues in real time, and translating ambiguous requirements into concrete, workable plans. The ideal candidate has a strong track record of working with roughly 10+ AI/ML projects deployed to production and is as comfortable writing production deep learning code as they are sitting in front of a customer diagnosing an issue and proposing a path forward. Key Responsibilities Solution Design & Technical Leadership: * 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. AI/ML Engineering & Modeling: * 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., * Deep Learning frameworks: PyTorch, TensorFlow, Keras, JAX; PyTorch Lightning. * GenAI & fine-tuning frameworks: Hugging Face Transformers, PEFT (LoRA/QLoRA), TRL, Accelerate, DeepSpeed, bitsandbytes, Axolotl, Unsloth; vLLM / TGI / Ollama for serving; LangChain, LlamaIndex for RAG and orchestration. * Agentic AI frameworks & protocols: Claude Agent SDK, Anthropic / OpenAI SDKs, LangGraph, AutoGen, CrewAI, Semantic Kernel, and the Model Context Protocol (MCP); tool/function calling and multi-agent patterns. * Computer vision: OpenCV, Detectron2, Segment Anything (SAM); image/video pipelines. * Forecasting & optimization: stats models, Prophet, GluonTS, Darts, scikit-learn; optimization/solver tooling (e.g., OR-Tools, SciPy, PuLP, Gurobi/CVXPY). * MLOps & infra: experiment tracking (MLflow / Weights & Biases), Docker, Kubernetes, CI/CD for ML, model registries and monitoring ## Related Videos - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [AI That Fits Your Business, Not the Other Way Around](https://www.wearedevelopers.com/videos/100148-ai-that-fits-your-business-not-the-other-way-around) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? 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