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Smart IT

AI/ML Engineer

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    Tech Stack / Requirements

    Are you passionate about artificial intelligence and eager to build innovative AI-driven solutions from the ground up? At Smart IT, we are assembling a team of ambitious professionals dedicated to leveraging AI to enhance both internal operations and external products. As an AI/ML Engineer, you will be the driving force behind everything “AI” in our company, shaping the future of AI-powered solutions within our ecosystem.

    WHY join us?

    • Guided by our core values Humanity, Innovation and Responsibility, we work openly in an environment of closeness, recognition and trust.
    • You will be part of a team with smart, friendly, talented, hardworking and committed to doing great work people.
    • You will be provided with plentiful opportunities as technologies and business models that empower you to show and expand your skills and abilities.
    • You will be joining a stable environment and comfortable working conditions.

    WHAT your essential role in the team will be:

    • As an AI/ML Engineer at Smart IT, your primary mission will be to explore, research, and implement the latest advancements in artificial intelligence to develop innovative AI-powered solutions.
    • Our AI team is dedicated to pushing the boundaries of machine learning, working on diverse challenges, particularly in natural language processing (NLP). Our projects span areas such as question-answering systems, conversational AI, ML predictions and data analysis. With rapid advancements in generative AI, we are now focused on integrating large models and AI-first approaches across our products and company operations.
    • To support these ambitious goals, we are expanding our AI team and looking for skilled professionals passionate about AI research and development. You will play a key role in designing new AI services and enhancing our existing solutions. Your work will be divided into two main areas:
    • Research: Keeping up with the latest trends, reviewing academic papers, brainstorming new ideas, and building proof-of-concept models.
    • Development: Implementing AI-driven functionalities into production-ready APIs and optimizing them for scalability.

    WHAT necessary requirements for the position are needed:

    • Conduct in-depth research on AI methodologies, adapting new algorithms and tools to enhance our solutions.
    • Develop and refine machine learning models, including dataset preparation, training, fine-tuning, and evaluation.
    • Collaborate with developers and DevOps engineers to integrate AI models into scalable applications.
    • Write clean, efficient, and optimized Python code for AI-driven functionalities.
    • Maintain and improve existing AI services, including bug fixes, API enhancements, and model updates.
    • Contribute to internal AI transformation efforts by developing tools to streamline processes for other teams.

    Experience & Education:

    • Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field (Master’s preferred).
    • Experience in AI/ML-related roles, such as Machine Learning Engineer, Data Scientist, or Research Engineer.
    • Strong proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
    • Solid foundation in statistics and familiarity with core machine learning algorithms.
    • Expertise in neural networks, large language models (LLMs), generative AI, multimodal models, and other advanced AI techniques.
    • Demonstrated interest in the latest AI advancements, particularly in NLP, generative models, or computer vision.
    • Ability to work collaboratively in a fast-paced, agile environment.
    • Strong analytical mindset with a proactive approach to problem-solving.

    Bonus Points For:

    • Hands-on experience in training or fine-tuning deep learning models.
    • Practical knowledge of computer vision, either through traditional techniques or deep learning models.
    • Experience deploying and managing machine learning models in a production environment.
    • Familiarity with data science tools such as NumPy and Pandas.
    • Background in professional development using Python.
    • Hands-on experience with cloud platforms (Azure) for AI/ML deployment.

    WHAT we are offering to you:

    • Remote work opportunity.
    • 30 days of paid leave.
    • Health insurance.
    • Food vouchers.
    • Interesting work on new and long-run projects.
    • Multisport card at a discounted price.
    • Healthy snacks – free fruits, nuts and beverages.
    • Company-sponsored training and certification.
    • Regular team buildings and celebrations.