RandomTrees
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Chennai · On-site · 1-3 Yrs · Aug 22
Information Technology Support Services · 201 to 500 Employees · Houston, US
RandomTrees is an AI company with a mission to create a climate that empowers enterprises to realize business outcomes. Our advisory services help clients to embark on a business excellence journey using AI with a proven methodology. Our delivery services provide the know-how across AI platforms, data engineering, and process expertise to build, run and operate AI solutions. We also play a key engineering role in AI marketplaces to promote responsible AI
Hiring: Engineering
What employees say
+ My experience at RandomTrees has been highly rewarding, providing me with strong exposure to data engineering practices and real-time business use cases. I have worked extensively
− RandomTrees is really doing good. No cons
More reviews on the company profile.
Interview experience · AI Engineer
Interview was quite modrate it went from print a list to explain few steps in your project and to write a program to summerize a document which is uploaded.Questions were asked based in theory ml concepts too and i was a
Average difficulty · Chennai · 12 reports
More interview insightsJob description
Overview
Roles & Responsibilities: Develop, train, and deploy AI and Generative AI (GenAI) systems using Python and frameworks like PyTorch.
Responsibilities
- Develop, train, and deploy AI and Generative AI (GenAI) systems using Python and frameworks like PyTorch.
- Work on large language models (LLMs) including GPT-4o, Llama, Mixtral, and related SLMs (Phi, Gamma, Triplex).
- Implement prompt engineering, data preprocessing, model fine-tuning, and evaluation pipelines.
- Build AI solutions across domains such as NLP, computer vision, deep learning, and other AI applications.
- Utilize MLOps, CI/CD, cloud computing, and containerization for production-ready model deployment.
- Work with Databricks, Snowflake, LangChain, LlamaIndex, Semantic Kernel, and memory frameworks like Mem0 for long-term context.
- Collaborate with cross-functional teams to integrate AI models into applications and ensure performance and scalability.
- Conduct data analysis, model evaluation, and troubleshooting to improve model performance.
- Stay updated on emerging trends and advancements in AI, ML, and Generative AI technologies.
Qualifications
- Knowledge of MLOps, CI/CD, cloud platforms, and containerization.
- Solid problem-solving, communication, and collaboration skills.
- Passion for AI innovation and exploring frontier AI technologies.
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