Senior Machine Learning Engineer developing advanced ML and NLP solutions for Forrester’s conversational AI chatbot. Collaborating with cross - functional teams to deliver scalable, production - ready ML systems.
SG
Hybrid Machine Learning Engineer, Intern to Full-Time
Posted last week
About the role
- Machine Learning Engineer Intern contributing to AI solutions for financial services. Engaging in hands-on ML projects and real production issues in a hybrid working environment.
Responsibilities
- At Gemmo, interns work on real production projects not toy datasets or internal tools. Depending on your profile and interests, you could be placed on one of two flagship tracks:
- Track 1. AI for Financial Services- You'll work on Machine Learning solutions for one of the most data-rich industries in the world. Problems you might tackle include prediction models, document analysis with ML, fine-tuning LLMs for conversational data interfaces, and extracting actionable insights from large-scale datasets.
- Track 2. Computer Vision for Pharma- You'll contribute to Computer Vision pipelines deployed in pharmaceutical environments, think object tracking, behaviour understanding, and solving complex real-world problems with nothing but a camera and a well-trained model.
- Both tracks involve close collaboration with senior engineers and direct exposure to enterprise clients. This is not a support role you'll be expected to contribute from day one.
- You'll gain hands-on experience working alongside senior ML engineers on real production problems. Not simulations, not tutorials code that runs on enterprise systems.
- Build Machine Learning models with financial data
- Design, build, and maintain CRUD APIs to interact with users and serve the models
- Deploy, monitor, and maintain applications in Azure and Snowflake
Requirements
- Experience with training custom ML models using PyTorch and XGBoost;
- Familiarity with API development;
- Good understanding of relational databases and experience with querying and managing data;
- Knowledge of version control systems (e.g., Git);
- B2+ English proficiency;
- Nice to Have: Experience with interaction with LLMs (GPT, Claude, Gemini) via API calls;
- Experience with running Machine Learning inference jobs with PyTorch or ONNX
Benefits
- Equipment: You'll hit the ground running with a*** brand new*** MacBook Pro M5 14" yours to use from day one.
- Travel: Once a year, the whole team flies to Dublin for a 3-day offsite at our HQ a mix of strategy, team building, and genuinely good craic.
- Time Off: We believe rest is part of performing well. You'll have:
- 20 days of paid holiday per year
- 8 public holidays
- 104 hours of additional permitted leave per year
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