Job Title: Generative AI Engineer
Location: Lisbon Portugal
Work Regime: Full-time & Hybrid
1 time per week for the 1st month;
1-2 days a month after the 1st month.
Overview / Summary:
We are looking for a Gen AI Engineer to join our team! You will be responsible
for developing and implementing cutting-edge artificial intelligence solutions to solve complex business problems. You will collaborate with cross-functional teams to design build and deploy AI models and algorithms and contribute to the overall
development of AI-driven applications. The ideal candidate has a strong background in LLMs (like GPT) machine learning deep learning and data analysis along with excellent programming skills and a passion for innovation.
Responsibilities and Tasks:
- 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
Mandatory Requirements:
- Bachelors or masters degree in computer science data science artificial intelligence Mathematics 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 ( 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;
- Strong attention to detail;
- A self-driven and proactive attitude with a passion for learning and staying updated on emerging technologies and industry trends;
- Languages: fluent English.
Benefits
Important:
- 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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Mandatory Requirements: Bachelor's or master's degree in computer science, data science, artificial intelligence, Mathematics 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; Strong attention to detail; A self-driven and proactive attitude, with a passion for learning and staying updated on emerging technologies and industry trends; Languages: fluent English.