Senior AI Engineer
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Job Description
AI Engineer developing and implementing AI solutions for business at LUZA Group. Collaborating with cross-functional teams to drive AI innovations and optimize business operations.
Responsibilities:
- Collaborate with cross-functional teams to identify business needs and potential areas where AI solutions can add value
- Design and develop proof-of-concepts (PoCs) using machine learning and deep learning techniques to demonstrate the feasibility and potential impact of AI-driven solutions
- Evaluate and validate the performance of PoCs, considering factors such as accuracy, scalability, and computational efficiency
- Work closely with stakeholders to understand their feedback and requirements, iterating on PoCs to enhance their value and address specific business challenges
- Analyze the outcomes of PoCs and identify the most promising concepts with significant business value
- Translate successful PoCs into minimum viable products (MVPs), working collaboratively with software engineers and data scientists to productize and scale the solutions
- Optimize and fine-tune AI models and algorithms to meet performance requirements and align with business objectives
- Conduct thorough testing and validation of MVPs, ensuring their reliability, stability, and usability in real-world scenarios
- Collaborate with product teams to integrate AI capabilities into existing systems or develop new AI-driven applications
- Stay informed about industry trends, advancements, and best practices in AI engineering and leverage this knowledge to drive innovation in PoC and MVP development
- Document the development process, methodologies, and results, providing clear and concise reports and presentations to stakeholders
- Provide technical guidance and support to junior AI engineers, fostering knowledge sharing and continuous learning within the team
Requirements:
- Bachelor's or master's degree in computer science, data science, artificial intelligence, or a related field
- Proven experience working as an AI Engineer, machine learning engineer, or similar role
- Solid understanding of LLMs, machine learning and deep learning techniques, algorithms, and frameworks (e.g., TensorFlow, PyTorch, Keras, LangChain)
- Proficiency in programming languages such as Python and Java, and experience with relevant libraries and tools for data manipulation, analysis, and visualization (e.g., NumPy, pandas, Matplotlib)
- Experience with big data processing and distributed computing frameworks (e.g., Hadoop, Spark) is a plus
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services
- Strong problem-solving skills and ability to translate business requirements into technical solutions
- Excellent communication and teamwork abilities, with the capacity to collaborate effectively with cross-functional teams
Benefits:
- Our company does not sponsor work visas or work permits
- All applicants must have the legal right to work in the country where the position is based
- Only candidates who meet the required qualifications and match the profile requested by our clients will be contacted
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