> Markdown version of [/jobs/ext/2652714-technical-specialist-ml-python](https://www.wearedevelopers.com/jobs/ext/2652714-technical-specialist-ml-python). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Specialist - ML, Python - **Company:** HCL America Inc. - **Location:** Jersey City, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Information Engineering, Data Governance, Extract Transform Load (ETL), Python (Programming Language), Cloud Services, Tensorflow, Google Cloud, Pytorch, Large Language Models, Deep Learning, Generative AI, Kubernetes, Data Management, Data Pipelines, Docker - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f2177c6573670eaa ## About the Role AI & Machine Learning: Mastery of deep learning frameworks like PyTorch or TensorFlow, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. Cloud & Infrastructure: Experience with cloud services AWS Saga Maker, Google Cloud AI, Microsoft Azure AI Docker, Kubernetes Data Management: Knowledge of data pipelines, ETL processes, vector databases, and data governance. Programming: Proficiency in core languages such as Python & Data Engineering Libraries and Java. ## Description Designing multi-agent workflows using frameworks like LangChain or LangGraph and architectural design patterns Designing data models Tracking model performance, managing inference costs, and handling latency tracking. Security & Compliance: Guarding privacy, stopping data leaks, and mitigating model hallucinations. Aligning technical AI choices with real business goals and financial budgets. Guiding engineering teams through design trade-offs and project execution ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)