Senior AI Engineer Remote

Position overview

• DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our world-class team designs and engineers data-driven, cloud-native solutions to deliver immediate and enduring business value.
• We promote a culture of radical respect, prioritizing your personal well-being as much as your expertise. We stand firmly against prejudice and inequality, valuing each of our employees equally.
• We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth.
• Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career.
• We are seeking a professional with a deep understanding of AI technologies and hands-on experience with generative AI, large language models (LLMs), LangChain frameworks, cloud services, and MLops, including model training and deployment practices.

Role & responsibilities

• Strategically lead and advise on AI initiatives, ensuring alignment with the AI Lab and overall company objectives
• Work alongside diverse client teams to assess business requirements and design tailored AI solutions that integrate generative AI, LLMs, and MLops practices
• Present recommendations and proposals to current and prospective AI clients by showcasing innovative offerings and business value
• Lead and develop the Proof of Concepts (POCs) and Accelerator projects, incorporating advanced cloud integration and generative AI technologies
• Stay up to date on industry trends and advancements, fostering a culture of continuous learning and innovation within the team, and disseminating relevant insights to clients and internal groups

Preferred candidate profile

• Minimum of 4 years of practical experience in the implementation and leadership of AI/ML projects
• Practical experience in AI roles such as Consultant or AI Solution Architect
• Masters/Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field
• Demonstrable hands-on experience implementing AI/ML solutions in a business context
• Proven experience with at least one major cloud platform (AWS, GCP, or Azure)
• Expertise in Generative AI/LLMs; candidates should be comfortable working with modern frameworks and tools such as LangChain
• A solid understanding of MLOps practices, including setting up model training pipelines, continuous integration/deployment, and monitoring ML models
• Strong communication and leadership skills to collaborate with cross-functional teams, present proposals, and manage stakeholder expectations