Nuitée | Enabling all companies to build travel solutions · Europäischer Wirtschaftsraum , Autriche · Remote
Details zum Jobangebot
Join our forward-thinking team as we develop cutting-edge solutions in the realm of Machine Learning and AI. Our project involves complex ML/AI-driven pipelines and requires an innovative approach to both software development and data science.
Role Overview:
We are seeking an experienced Tech Lead to spearhead our product development which integrates advanced Machine Learning and AI technologies. This role involves leading a team in designing, developing, and maintaining AI-driven solutions with a focus on efficiency, scalability, and robustness. The ideal candidate will have a strong background in Python, experience with AWS and GCP environments, and a solid foundation in data science.
Responsibilities:
- Lead the development and implementation of machine learning models and AI solutions.
- Design, develop, and deploy ML/AI-driven pipelines using Python.
- Manage cloud infrastructure across AWS and GCP to ensure seamless deployment and scaling of AI applications.
- Oversee the integration of DevOps practices into machine learning workflows to enhance continuous integration and continuous delivery (CI/CD) processes.
- Collaborate with cross-functional teams including data scientists, developers, and product managers to ensure alignment of technical strategies and product visions.
- Provide technical guidance and mentorship to team members in the areas of machine learning, AI, and cloud architecture.
- Stay abreast of emerging trends and technologies in AI, machine learning, and cloud platforms.
- Ensure adherence to best practices in coding, testing, deployment, and data security.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- At least 7 years of experience in software development with a significant focus on AI and machine learning projects.
- Proven expertise in Python programming and familiarity with AI and machine learning libraries and frameworks.
- Strong experience with cloud platforms, specifically AWS and GCP.
- Knowledge of DevOps tools and methodologies, particularly as they relate to AI/ML operations (MLOps).
- Experience in leading and mentoring technical teams.
- Exceptional problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
Benefits:
- Competitive salary package.
- Generous vacation and leave policies.
- Extensive opportunities for professional growth and development, particularly in AI and ML technologies.
Interview Process
- Screening process
- Technical interview
- Technical test
- Culture fit interview with senior management
- Offer