Ai Engineer

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.