Job Description
We are looking for a visionary Senior AI/ML Engineer to spearhead our 2026 Future Tech Initiative. As we prepare for the next leap in technological advancement, we need a leader who can architect scalable, high-performance artificial intelligence systems.
In this role, you will define the technical roadmap for our upcoming generative AI products and drive innovation that will define our market presence through 2026 and beyond. You will work in a high-growth environment where your work directly impacts the future of enterprise automation.
Key Highlights:
- Lead the development of next-generation Large Language Models (LLMs).
- Work with a top-tier team of researchers and engineers.
- Competitive equity package and benefits.
Responsibilities
- Architect and implement scalable machine learning pipelines and generative AI models aligned with the 2026 strategic roadmap.
- Lead the end-to-end development lifecycle of AI products, from research and prototyping to production deployment and monitoring.
- Collaborate with product managers and stakeholders to translate business requirements into technical AI solutions.
- Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Optimize model inference speed and accuracy for real-time applications using distributed computing.
- Stay at the forefront of AI research, evaluating and integrating cutting-edge techniques into our stack.
- Ensure data governance, security, and ethical AI practices are maintained throughout the ML lifecycle.
Qualifications
- Master’s degree or PhD in Computer Science, Statistics, Mathematics, or a related field.
- Minimum of 6 years of experience in machine learning engineering, AI research, or a similar technical role.
- Expert proficiency in Python, PyTorch, TensorFlow, and scikit-learn.
- Strong experience with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS, GCP, or Azure).
- Deep understanding of deep learning architectures, NLP, and computer vision.
- Proven track record of deploying high-impact machine learning models in production environments.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.