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Trains and fine tunes AI models, including the preparation of data sets, incorporating pre-processing and post-processing steps to further refine AI model……
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Research and/or work experience in a relevant field, such as machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern……
Strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity). 4 months of full-time research.…
Sets the engineering quality bar for the team's AI products through code reviews, technical design, and pairing with peers and junior engineers.…
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We're seeking junior+ level Machine Learning Engineer to join our team. This is your chance to apply your skills to a project with real-world impact.
ML
NLP
LLM
ML engineer
Recommendation system
Ranking system
About Us
Mad Devs is a full-stack team specializing in developing and administering large-scale IT products across diverse industries. Many of our products operate in Europe, the USA, and countries across Southeast Asia. We are passionate about tackling complex challenges and delivering innovative solutions that make a meaningful impact globally.
#LINKD
Responsibilities:
Develop and implement machine learning algorithms
Transfer machine learning models from development to real-world application
Compare different approaches to solve complex business problems
Collaborate with customers to identify their problems and opportunities for solving them\ using machine learning tools
Develop algorithms for recommendation and ranking systems
Develop intelligent assistants
Keep models and instructions for language models up to date
Our expectations:
Minimum 1,5+ year in startups or professional services firms
Familiarity with software development and delivery processes. Understanding of the key steps involved
Knowledge and experience in developing and tuning machine learning models for various tasks such as classification, regression, clustering, etc. Integration of off-the-shelf solutions
Experience working with big data and systems to process it
Know how to use data analysis to identify insights and patterns that can help solve business problems
Mathematical background
Knowledge of basic machine learning algorithms and metrics
Experience implementing machine learning models in a production environment
Experience working towards natural language processing (NLP)
Experience with large language models (LLM)
Experience developing agent systems based on popular frameworks (LangChain, LangGraph). Experience implementing multi-tool and multi-agent systems.
Customer negotiation skills to actively participate in identifying their needs and objectives
Ability to gather and analyze requirements and translate business requirements into technical specifications
Can generate clear and achievable goals for machine learning tasks/projects
Can conduct regular demos for customers and explain technical aspects and achievements in an accessible manner
At Mad Devs, you'll join a passionate team dedicated to solving complex challenges and delivering innovative solutions. Our projects span Europe, the USA and South East Asia, giving you the opportunity to make a global impact. We value flexibility, remote working and professional development, ensuring you thrive in an inspiring environment. Join us in revolutionizing the legal industry with AI!
Employees benefits
Flexible working hours
Remote-first culture
Long-term projects
Salary in dollars
Professional communities
Onsite business trips
Training budget
Paid conferences
Hi, I'm Ekaterina.
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