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Ai Engineer

Job description

We are seeking a highly skilled and motivated AI Engineer to join our dynamic team.


As an AI Engineer, 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.


This is a remote position, offering flexibility in how and where you work. We value professionals with consistent career paths and stability in projects, who demonstrate long-term commitment and responsibility in their contributions.

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 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, 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.
  • Provide technical guidance and support to junior AI engineers, fostering knowledge sharing and continuous learning within the team.



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