Senior AI Engineer
DataArt
Job Title
Strategic AI Lead
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.
Requirements
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.
Master's/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.
We Offer
Vacation as per the laws of your country. We do ask you to take a proper rest.
Health insurance: We help you to take out an insurance policy for you and your loved ones.
Sick pay: 10 days without a doctor's note, afterwards - as per the laws of your country.
Equal opportunities.
Time off for state holidays according to the official calendar, regardless of the client's schedule.
Pleasant environment: Two large corporate parties and many small get-togethers for colleagues.
Comfort service: Solving technical and everyday problems at work.
More about the perks: List of benefits in PDF. The benefits package may vary depending on the region and the type of contract.
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