Senior AI Engineer

2 weeks ago

Town of Poland, United States Seargin Full time

As a Senior AI Engineer, you will join our AI & Data team and contribute to the end‑to‑end delivery of cutting‑edge AI solutions that create real business value for our clients. You will work in a multidisciplinary environment, leveraging advanced AI—including Generative AI—to deliver production‑ready solutions with a strong focus on MLOps. This role is remote, but candidates based in Krakow who can occasionally attend the office will be prioritized. Key Responsibilities AI Solution Delivery & MLOps Lead and contribute to the full lifecycle of AI projects: ideation, feasibility assessment, data preparation, model development, deployment, and industrialization. Design and deliver robust, scalable, and production‑ready AI solutions with strong MLOps principles. Leverage state‑of‑the‑art AI capabilities—open‑source and proprietary—and conduct proof‑of‑concepts to validate innovative approaches. Collaboration & Business Impact Work with cross‑functional teams across domains such as risk management, business optimization, and customer intelligence. Support organizational transformation initiatives toward an AI‑centric culture. Apply AI methods to solve real‑world business challenges and deliver measurable impact. Mentor and coach junior team members, contributing to a culture of continuous learning. Build and share knowledge internally; contribute to “black papers,” participate in internal events, and—if interested—present at conferences. Attend AI conferences to network, learn, and stay ahead of emerging trends. Business Development Support pre‑sales and business development activities, contributing technical expertise and shaping AI solution proposals. Required Qualifications (Must‑Have) Technical Skills 2–5 years of experience in Applied AI, including hands‑on work with Generative AI. Strong proficiency in Python. Proven experience with Microsoft Azure: resource deployment, solution architecture, management, and optimization. Familiarity with Azure DevOps or GitHub Actions for CI/CD and automated deployments. Demonstrated experience applying AI to real‑world business problems. Education Master’s or PhD in Computer Science, Mathematics, Engineering, Sciences, or related fields. Soft Skills Highly collaborative team player with strong interpersonal skills and a focus on achieving results. Methodical yet creative problem solver; proactive, curious, and improvement‑driven. Strong presentation and communication abilities—able to translate complex concepts into business‑friendly language. Full ownership mindset and willingness to help clients overcome strategic and technical challenges. Comfortable engaging in pre‑sales discussions and supporting business development. Languages Business proficiency in English (required). Nice to Have Experience attending or speaking at AI conferences. Prior involvement in thought leadership (e.g., article writing, whitepapers, conference presentations). Seniority level Mid‑Senior level Employment type Full‑time Industries IT Services IT Consulting Business Consulting and Services #J-18808-Ljbffr

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