Machine Learning Engineer

🕒 December 8, 2025

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GoML

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🤖 Artificial Intelligence

🤝 B2B

💊 Pharmaceuticals

Artificial Intelligence • B2B • Pharmaceuticals

GoML is a generative AI development and consulting company that designs, builds, and manages enterprise-grade GenAI applications and LLM boilerplates. It focuses on delivering AI solutions and pilot-to-production workflows—especially for healthcare, life sciences, and financial services—offering services such as agentic AI, AI data analytics, content generation, AWS Bedrock migrations, and AI consulting with options for AWS-funded pilots. GoML partners with enterprises to accelerate GenAI adoption, improve clinical decision-making, automate regulatory audits, detect fraud in financial transactions, and generate personalized content at scale.

📋 Description

• Develop training and deployment pipelines for machine learning. • Implement model compression algorithms and productionize machine learning research. • Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches. • Fine-tune pre-trained LLMs for specific tasks and domains. • Conduct research on new techniques for improving the performance and capabilities of generative AI models. • Apply software engineering rigor and best practices to machine learning /Generative AI pipelines. • Evaluate and analyse the performance of ML/generative AI models. • Stay up to date on the latest advancements in generative AI research. • Facilitate the development and deployment of proof-of-concept Generative AI systems.

🎯 Requirements

• Bachelor’s/Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. • 3-5 years of experience in generative AI or related fields. • Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance. • Strong programming skills in Python. • Familiarity with RAG and other techniques for building generative models. • Extensive experience with Git, Docker and a good understanding of Linux for managing servers. • Experience with cloud-based ecosystems, especially AWS ML/GenAI services. • Exposure to ML/GenAI frameworks and tools. • Excellent communication and collaboration skills. • Ability to work independently and in a team-oriented environment. • Methodical and meticulous towards work and planning.