Job Description
We are looking for a visionary Senior AI Engineer to spearhead our roadmap for 2026. In this pivotal role, you will be responsible for architecting the next generation of artificial intelligence systems that will define the future of our industry. You won't just be implementing existing solutions; you will be building the infrastructure, models, and strategies that will scale with us through the 2026 horizon and beyond.
Why Join Us?
We are a fast-paced, innovation-driven company looking to disrupt the market. You will work with cutting-edge technology, collaborate with world-class talent, and have direct impact on the strategic direction of our AI division.
Responsibilities
- Architect the 2026 Vision: Define and execute the technical roadmap for AI infrastructure, ensuring scalability and future-proofing for the 2026 timeframe.
- Model Development: Design, train, and deploy advanced machine learning models to solve complex business problems.
- System Optimization: Lead initiatives to optimize existing neural networks and reduce computational costs significantly.
- Team Leadership: Mentor a team of junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Cross-Functional Collaboration: Work closely with product managers and stakeholders to translate business goals into technical AI solutions.
- R&D Leadership: Stay ahead of industry trends, specifically focusing on GenAI and predictive analytics for 2026.
Qualifications
- Education: BS in Computer Science, Mathematics, or a related technical field; Master’s degree is a plus.
- Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a lead or architect role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and SQL. Experience with cloud platforms (AWS/GCP/Azure) is essential.
- Strategic Thinking: Proven ability to think long-term and define technical strategies for future years.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.