Machine Learning

Summary

Globant is seeking an AI / Machine Learning Engineer to support AI and emerging technology initiatives across business and technology teams. The role develops and prototypes AI/ML, Generative AI, LLM, and agentic AI solutions, while helping move use cases from proof-of-concept toward production through experimentation, software development, deployment, and cross-functional collaboration.

Responsibilities

• Develop and prototype AI/ML, Generative AI, and agentic AI solutions to address real business problems
• Work with foundation models, LLMs, prompt engineering, fine-tuning, and multimodal AI
• Design and implement RAG, vector database, memory, tool-use, and function-calling solutions
• Support multi-agent workflows and autonomous AI capabilities
• Develop applications and integrations using Python, ReactJS, and NodeJS
• Conduct AI experimentation, proof-of-concepts, testing, and model evaluation
• Partner with data, engineering, and business teams to move AI solutions toward production
• Support MLOps, AI Ops, deployment, monitoring, and CI/CD practices
• Promote responsible AI practices, including governance, ethics, and bias mitigation
• Communicate technical AI concepts effectively to both technical and non-technical stakeholders

Skills

• Bachelor's degree in Computer Science, STEM, or equivalent professional experience
• Experience with AI/ML, Generative AI, or advanced analytics
• Strong understanding of machine learning fundamentals and model evaluation
• Hands-on experience with LLMs, OpenAI, prompt engineering, and Generative AI
• Experience with Python, ReactJS, and NodeJS
• Familiarity with agentic AI frameworks such as LangChain, Strands, or CrewAI
• Experience with RAG, vector databases, tool/function calling, and agentic workflows
• Understanding of MLOps, AI Ops, and CI/CD for AI solutions
• Experience with Jenkins and GitHub
• Experience working with tools/models such as Claude and Copilot
• Strong analytical, problem-solving, and communication skills
• Ability to work effectively in Agile and cross-functional environments
• Python | OpenAI / LLMs | ReactJS | NodeJS | Jenkins | GitHub | Claude | Copilot
• Experience with AWS Bedrock
• Exposure to Azure or Google Cloud Platform (GCP) AI services
• Experience with multimodal AI and fine-tuning techniques
• Experience taking AI solutions from experimentation or POC through production deployment

Qualifications

Must Haves

• Bachelor's degree in Computer Science, STEM, or equivalent professional experience
• Experience with AI/ML, Generative AI, or advanced analytics
• Strong understanding of machine learning fundamentals and model evaluation
• Hands-on experience with LLMs, OpenAI, prompt engineering, and Generative AI
• Experience with Python, ReactJS, and NodeJS
• Familiarity with agentic AI frameworks such as LangChain, Strands, or CrewAI
• Experience with RAG, vector databases, tool/function calling, and agentic workflows
• Understanding of MLOps, AI Ops, and CI/CD for AI solutions
• Experience with Jenkins and GitHub
• Experience working with tools/models such as Claude and Copilot
• Strong analytical, problem-solving, and communication skills
• Ability to work effectively in Agile and cross-functional environments
• Python | OpenAI / LLMs | ReactJS | NodeJS | Jenkins | GitHub | Claude | Copilot

Nice to Haves

• Experience with AWS Bedrock
• Exposure to Azure or Google Cloud Platform (GCP) AI services
• Experience with multimodal AI and fine-tuning techniques
• Experience taking AI solutions from experimentation or POC through production deployment

Benefits

• Remote - HARTFORD
• Remote work permissibility is subject to change depending on business necessity.