AI Engineer

Who we are:

Pillar is an Israeli and Ukrainian company with more than 6 years of history in the Ukrainian market, that provides outsourcing and outstaff services to world-class companies all over the world (e.g. Shift, Archidata, etc).

Every day we partner across functional areas: logistics, medicine, education, tourism, the game industry, utilities, data storage, etc. 

We work in a flexible environment where there is an opportunity to achieve results, receive feedback for learning, improve ways of working by developing both soft and hard skills, and contribute to a corporate culture focused on people.

Our team is highly experienced, and all the projects we work on are solid and long-term as our clients appreciate our expertise and stay with us for a long.
We are also keen on learning from each other, which is why we cheerfully meet people who bring a new set of experiences and backgrounds to our team.

About the project:

Ktarget is a performance-driven marketing agency committed to delivering measurable
results for its clients. Specializing in data-driven strategies, focus on maximizing ROI,
scaling businesses, and achieving real growth.

Ktarget expertise spans paid media, conversion rate optimization, and audience
targeting, ensuring every campaign they create is tailored to drive success.
Whether you’re looking to increase sales, generate leads, or build brand awareness, KTarget’s team is here to help you achieve your goals.
At their core, they believe in transparency, innovation, and staying ahead of the curve in an ever-evolving digital landscape.

Join us today to help the world get marketing to work harder—and smarter.

About the role:

We are seeking a talented and innovative AI Developer to join our growing team.
As an AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge artificial intelligence solutions that drive business growth and efficiency.
The ideal candidate will have a strong background in machine learning, deep learning, and data science, with a passion for solving complex problems using AI technologies.

What you’ll do:

• AI Model Development: Design, build, and deploy machine learning and deep learning models to solve real-world business challenges.
• Data Analysis & Preprocessing: Collect, clean, and preprocess large datasets to ensure high-quality inputs for AI models.
• Algorithm Optimization: Continuously improve AI algorithms to enhance performance, accuracy, and scalability.
• Research & Innovation: Stay up-to-date with the latest advancements in AI, machine learning, and related technologies, and apply them to improve our products and services.
• Testing & Validation: Conduct rigorous testing and validation of AI models to ensure they meet performance and reliability standards.
• Documentation: Maintain clear and detailed documentation of AI models, processes, and results for future reference and collaboration.
• Collaboration: Work closely with the CEO to understand business needs and translate them into technical solutions.

What you’ll need:

Must:

• Good English level – B1+
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• At least 3+ years of experience in AI development, preferably with a portfolio of projects showcasing your skills in machine learning, deep learning, or natural language processing (NLP).
• Proficiency in programming languages such as Python, R, or Java with at least 3+ years of experience. 
• Experience with AI frameworks and libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn.
• Strong understanding of data structures, algorithms, and statistical modeling.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services.
• Ability to think critically and creatively to develop innovative AI solutions.
• Communication: Excellent verbal and written communication skills, with the ability to explain complex AI concepts to non-technical stakeholders.
• A collaborative mindset with the ability to work effectively in a team.

Nice to have:

• Any experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
• Familiarity with DevOps practices and tools for deploying and maintaining AI models in production environments.
• Any experience with version control systems like Git.