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Sales Representative (KYC Solution for Hotels - Remote)
We are seeking highly skilled Machine Learning/AI Engineers to contribute to cutting-edge projects for clients. You will design, develop, and implement advanced AI/ML solutions in a remote, collaborative environment.
What You'll Be Doing:
Model Development: Design, develop, and implement machine learning models and AI algorithms tailored to client needs
Project Diversity: Work on a variety of projects spanning commercial, governmental, and academic domains
Client Collaboration: Collaborate closely with clients to understand their requirements and translate them into technical solutions
Pipeline Development: Develop and maintain robust and scalable machine learning pipelines
Experimentation & Evaluation: Conduct thorough experimentation and evaluation of different models and techniques
Research & Development: Stay up-to-date with the latest advancements in Machine Learning and AI
Technical Communication: Communicate complex technical concepts clearly and effectively to both technical and non-technical audiences
Deployment (Potential): Potentially integrate and deploy machine learning solutions into client environments
Strategic Contribution: Contribute to the technical direction and strategy of projects
Who You Are:
Education: Minimum Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field. PhD preferred
Experience: Proven industry experience (2+ years preferred) in applying Machine Learning and AI techniques
Algorithm Expertise: Strong theoretical understanding of machine learning algorithms (e.g., deep learning, NLP, computer vision, RL)
Programming Skills: Excellent programming skills in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Data Handling: Experience with data manipulation and analysis using tools like Pandas and NumPy
Cloud Familiarity (Plus): Familiarity with cloud computing platforms (e.g., AWS, Azure, G) is a plus
Problem-Solving: Strong problem-solving and analytical skills
Communication: Excellent communication and collaboration abilities
Remote Work: Ability to work independently and manage time effectively in a remote setting
Language: Fluency in English is required
Why This Role?
Full-time
Remote position inUK Timezone
Salary: Flexible depending on experience
Recruitment Process
Initial Interview (HR)
Final Interview (client)
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Nivel de antigüedad
Intermedio
Tipo de empleo
Jornada completa
Función laboral
Ingeniería y Tecnología de la información
Sectores
Publicaciones en línea
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