The Junior ML Engineer will automate information extraction, build models, develop ML pipelines, and analyze data for insights.
REQUIREMENTS
- Basic experience with Python programming language
- Experience with ChatGPT, Claude or other LLMs
- English language (Intermediate and higher)
- This is a full-time position requiring exclusive commitment
GOOD TO HAVE
- Experience with OpenAI platform (or alternative) and prompt engineering
- Experience with PyTorch, Tensorflow or HuggingFace
- Experience with the following libraries: numpy, pandas, opencv, spacy, nltk, scikit-learn
- Knowledge of data analysis, statistics and data visualisation
RESPONSIBILITIES
- Automatization of information extraction from digital born and scanned documents in various formats (PDF, Excel, Word, Images etc.).
- Building prediction and recommendation models based on the input data and user behaviour.
- Building ML/data pipelines and datasets according to business requirements.
- Analysing and visualising the data and presenting the result to the team.
- Building Enterprise AI Agents
Similar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead site-facing contract and budget negotiations for assigned clinical investigator sites, manage Per-Subject Cost process, resolve escalations, oversee and mentor contracting negotiators, and partner with Legal, Finance, pCROs and other stakeholders to plan timelines, implement improvements, and ensure global study agreement execution.
Cloud • Security • Software • Cybersecurity • Automation
The Senior Manager of Engagement Management at GitLab leads professional services sales, managing a team and driving bookings while collaborating with other departments to enhance client value and team effectiveness.
Top Skills:
Gitlab
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead change management for the S4/o9 transformation across MEU Demand Planning. Partner with senior leaders to design change strategies, assess impacts, deliver training (TNA, curriculum, localization, train-the-trainer), build change capability, manage stakeholder engagement, and track KPIs to drive adoption and measure effectiveness.
Top Skills:
Integrated Business Planning (Ibp)O9 PlanningSap S/4Hana
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory



