Venda do Pinheiro, Lisbon, Portugal

AI Engineer

 Job Description:

Syffer is an all-inclusive consulting company focused on talent, tech and innovation. We exist to elevate companies and humans all around the world, making change, from the inside to the outside.

We believe that technology + human kindness positively impacts every community around the world. Our approach is simple, we see a world without boarders, and believe in equal opportunities. We are guided by our core principles of spreading positivity, good energy and promote equality and care for others.

Our hiring process is unique! People are selected by their value, education, talent and personality. We dont present ethnicity, religion, national origin, age, gender, sexual orientation or identity.

Its time to burst the bubble, and we will do it together!

We are looking for a professional to join a client team:

AI Engineer

Responsibilities and Duties 

  • 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 AIdriven 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

What we need

  • 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). 
  • ML Ops e Azure ML
  • 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 crossfunctional 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. 
  • Provide technical guidance and support to junior AI engineers, fostering knowledge sharing and continuous learning within the team.

What youll get

  • An inspiring work environment
  • Allocation of health insurance from the beginning of the employment ;
  • Delivery of work equipment adjusted to the performance of functions;
  • Implementation of a hybrid work regime whenever possible;
  • Payment of the food allowance in meal card (exempt from legal discounts);
  • And others

Work together with expert teams on projects of large magnitude and intensity, long term together with our clients, all leaders in their industries.

Are you ready to step into a diverse and inclusive world with us ?

Together we will promote uniquess!

  Required Skills:

Data Processing Spark Deep Learning Usability Matplotlib Hadoop Intelligence Religion Scalability Artificial Intelligence NumPy Big Data Visualization Algorithms Data Science Hiring Consulting Energy Reliability Machine Learning Validation Programming Languages Business Requirements Insurance Programming Presentations Computer Science Teamwork Education Java Python Software Testing Design Engineering Business Communication Science