Machine Learning Engineer
Ascendion
Mato Grosso, PB - há 1 hora
Descrição do trabalho
About Ascendion

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:
  • Build the coolest tech for world’s leading brands
  • Solve complex problems – and learn new skills
  • Experience the power of transforming digital engineering for Fortune 500 clients
  • Master your craft with leading training programs and hands-on experience


Experience a community of change makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion
  • Role: AI OR ML Engineer
  • Location: Remote (LATAM)
  • Employment Type: Contract


As an AI Engineer, you'll collaborate closely with our team to:
  • Develop and fine-tune AI models for NLP, generative AI, and automation
  • Implement scalable AI pipelines using cloud-based solutions
  • Integrate AI-driven workflows into existing systems
  • Optimize model performance and ensure scalability and efficiency


Qualifications:
  • Bachelor's or Master's in Computer Science, AI, or related field
  • 5+ years of experience in AI/ML development
  • Proficiency in AI frameworks (e.g., PyTorch, TensorFlow) and programming skills (e.g., Python)
  • Experience with LLMs, NLP, and cloud-based AI infrastructure (e.g., Azure ML, Kubernetes)


Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!
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