AI Engineer
Vodafone
Job Overview
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Job Description
Join Us
We are seeking a talented AI Engineer to design, develop, and implement innovative artificial intelligence solutions. Your expertise in AI algorithms, machine learning, and data analysis will be essential in creating intelligent systems that address complex business challenges. You will ensure the seamless integration of AI models into our existing systems, driving business growth through advanced AI technologies.
What You’ll Do
- Strategic Advising: Provide guidance on a wide range of technology, strategy, and policy issues related to AI
- Design and Development: Collaborate with the engineering and leadership teams on functional design, process design (including scenario design and flow mapping), prototyping, testing, training, and defining support procedures
- Solution Architecture: Document and articulate the solutions architecture and lessons learned from each project and accelerated incubation
- Market Assessment: Lead a team in evaluating the AI and automation market and competitor landscape
- Stakeholder Liaison: Act as a bridge between stakeholders and project teams, delivering feedback and enabling necessary changes in product performance or presentation
- AI Software Development: Model, build, and test AI software to handle large datasets and achieve desired outcomes
- Programming Proficiency: Utilize programming languages such as Python, Java, C++, or others commonly used in AI development
- Data Analysis: Analyze statistics, data, and algorithms to ensure projection accuracy
- Strategic Recommendations: Use AI analysis to make strategy recommendations that align with company goals
- Continuous Learning: Stay updated on AI knowledge, trends, and regulations
- Progress Reporting: Collect, organize, and present progress updates to team leadership and stakeholders
Who You Are
- Proven experience in developing and deploying AI models
- Experience with natural language processing (NLP) or computer vision
- Proficiency with deep learning frameworks such as TensorFlow or PyTorch
- Strong understanding of machine learning (ML)
- Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
- Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure is a plus
- Experience in program leadership, governance, and change enablement
What's In It For You
Hybrid work setupMedical subscriptionMeal ticketsInsurance for hospitalization and surgical interventionsLife insuranceInsurance modules and additional medical packages for you and your familySpecial discounts for Vodafone employeesDemo phone subscriptionSpecial offers Friends & FamilyTelephone voucherVodafone encourages the personal success and desire to evolve of each of its employees, continuously offering them opportunities for professional development. You will benefit from specializations in your field of activity, through programs based on modern training methods and systems
Key skills/competency
- AI Algorithms
- Machine Learning
- Data Analysis
- Natural Language Processing (NLP)
- Computer Vision
- TensorFlow
- PyTorch
- Python
- REST API Development
- Cloud Platforms (AWS, Azure, Google Cloud)
How to Get Hired at Vodafone
- Research Vodafone's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your AI Engineer resume: Highlight your expertise in AI algorithms, machine learning, deep learning frameworks like TensorFlow/PyTorch, and languages like Python. Emphasize experience in developing and deploying AI models.
- Showcase your AI projects: Prepare a portfolio or case studies demonstrating your practical experience with NLP, computer vision, data analysis, and integrating AI solutions.
- Prepare for technical interviews: Review core AI/ML concepts, data structures, algorithms, and be ready to discuss your experience with REST API, NoSQL, and cloud platforms relevant to AI development.
- Demonstrate strategic thinking: Be prepared to discuss how your AI analysis can lead to strategic recommendations and solve complex business challenges within a telecommunications context.
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