| New Requirement :: C2C Job Opportunities from RandomTrees (19/12/2024) at Remote, Remote, USA |
| Email: [email protected] |
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Dear Vendor Partners, I hope this email finds you well. I am reaching out to you on behalf of RandomTrees, a leading data and AI company dedicated to revolutionizing how businesses leverage data to drive innovation and growth. We are currently seeking candidates for the roles listed below and would appreciate any recommendations or submissions of qualified consultants you may have. NOTE: Kindly request that you review the job description below with the consultants and share the updated resumes with me. Job Description | Employment Type | Contract | Rate/Salary | $75/hr in C2C | Job Location | Atlanta, Georgia or Richmond, Virginia (On-site) | IBM | Job Title: GenAI Developer / Data Scientist Job Description: Overview: IBM is seeking a skilled GenAI Developer / Data Scientist to join their team. In this role, you will be responsible for performing data analysis, curating data, developing Python-based microservices, and configuring Generative AI (GenAI) solutions. You will work closely with a cross-functional team, including architects, DevOps engineers, and developers, to create and deliver innovative Generative AI-based solutions. As a GenAI Developer / Data Scientist, you will apply your strong data science expertise and Python programming skills to work with a variety of data sources and develop solutions that leverage the latest in Generative AI, machine learning, and large language models (LLMs). Familiarity with technologies such as Retrieval Augmented Generation (RAG), LangChain, and Watsonx.ai will be highly beneficial. Key Responsibilities: Perform data analysis and data curation to prepare datasets for machine learning and AI applications. Develop Python microservices that integrate with AI solutions and various data sources. Configure and deploy Generative AI solutions, including working with large language models (LLMs) and retrieval-augmented generation (RAG) techniques. Collaborate with architects, DevOps engineers, and other developers to create end-to-end Generative AI-based solutions. Work with cloud technologies to deploy and scale AI applications. Utilize GitHub for version control and collaborative development. Required Skills: 3+ years of data science experience, including strong hands-on experience with data analysis, modeling, and curation. 2+ years of experience with Python for developing data-driven applications and microservices. Experience working with various types of data sources, including: Relational Databases (RDBMS) Vector Databases Object Storage Excel and other structured data formats. Preferred Skills: Hands-on experience with Generative AI technologies. Familiarity with Machine Learning frameworks and methodologies. Strong understanding of Retrieval Augmented Generation (RAG) and Large Language Models (LLMs). Experience with LangChain for building AI-powered applications. Expertise in IBMs Watsonx.ai and Watsonx.data solutions. Experience working with Vector Databases like Milvus. 2+ years of experience developing applications in cloud environments (e.g., AWS, Azure, or Google Cloud). Familiarity with GitHub for code versioning and collaborative software development. About RandomTrees | 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. Know More About Us: www.randomtrees.com Best Regards, Cauvery | Cauvery Priyadarshini | TAG -US | RandomTrees |Mobile +1 713-219-9905| [email protected] |Cauvery Priyadarshini | LinkedIn| |https://www.randomtrees.com| Keywords: artificial intelligence access management New Requirement :: C2C Job Opportunities from RandomTrees (19/12/2024) [email protected] |
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| 02:08 AM 20-Dec-24 |