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 • Machine Learning • Natural Language Processing • Software • Conversational AI
The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.
Top Skills:
Distributed ComputingLarge Language ModelsPythonPyTorchTransformer Architectures
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
The Account Executive will drive new customer acquisition and revenue, self-prospecting to build sales pipelines, and collaborating with marketing and sales teams. Responsibilities include understanding customer needs in voice AI, articulating Deepgram's value, and managing existing accounts for upsell opportunities.
Top Skills:
AIAPIsMlSpeech-To-SpeechSpeech-To-TextText-To-Speech
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Support Head of Security Sweden & Group Functions with coordination, reporting, and decision materials. Prepare presentations, coordinate stakeholders across security domains, lead security projects, track actions/risks, and ensure implementation and follow-up while advising leadership on priorities and risk.
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
