Tango.io
Tango helps small and midsized companies developing a variety of impactful digital products from discovery to delivery, with top-notch nearshore developers, at a fraction of the cost.
Software Product Development • Team extension • Web development • UX/UI • Staff Augmentation
51 - 200 employees
LLM Python Developer
February 15
Tango.io
Tango helps small and midsized companies developing a variety of impactful digital products from discovery to delivery, with top-notch nearshore developers, at a fraction of the cost.
Software Product Development • Team extension • Web development • UX/UI • Staff Augmentation
51 - 200 employees
📋 Description
• Tango is the premier nearshore product development and staff augmentation consultancy. • We believe in the power of innovative ideas and passion for products! • Help us explore the horizons of software development • This represents an opportunity for you to grow, work on impactful projects and be part of our shared vision. • What You’ll Own • Contribute to design software architecture • Deliver tested features • Contribute to groom tickets • Attend scrum meetings • Your direct relations: You will report to Product Owner • Our hiring process • First, you’ll have a 30 minute interview with one of our Talent Acquisition Specialists. • Lastly, you will meet our client who you would be working with once you join Tango. • Why Join Us • We’ve been a fully remote company since 2009. • On top of that, we have an environment where continuous growth is encouraged. • We are committed to providing a valuable, safe and fair environment where all hiring strategies are based on transparency.
🎯 Requirements
• Python programming (object-oriented principles) • Experience with large language models (LLMs) like OpenAI GPT or Hugging Face • LangChain for language model integration and workflow orchestration • Natural language processing (NLP) and AI concepts • Data preprocessing techniques • Model selection, hyperparameter tuning, and performance evaluation • API development and integration for machine learning models • Cloud platforms (AWS) • Machine learning frameworks (TensorFlow, PyTorch, or Keras) • Deployment tools like Docker, Kubernetes, and FastAPI • Nice to have: scikit-learn for building and deploying machine learning models
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🇺🇸 United States – Remote
💰 $15M Funding Round on 2002-08
⏰ Full Time
🟡 Mid-level
🟠 Senior
🔙 Backend Engineer
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