Job Description
The Future of AI is Here. Nexus Future Labs is seeking a visionary Senior AI Engineer to architect the intelligent systems that will define the landscape in 2026 and beyond. You will be at the forefront of Generative AI, Large Language Models (LLMs), and predictive analytics, driving innovation for our enterprise clients.
We are not just building software; we are building the infrastructure for tomorrow. If you are passionate about pushing the boundaries of what machines can learn and how they can interact with humans, we want to hear from you.
What You'll Do:
Our team is agile, diverse, and focused on impact. You will:
- Design and deploy scalable machine learning models using Python and TensorFlow.
- Lead the implementation of NLP pipelines to enhance customer engagement.
- Optimize AI models for real-time performance and low latency.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Stay ahead of industry trends, specifically focusing on the roadmap for 2026.
Who You Are:
We are looking for a problem solver who thrives in a fast-paced environment. You have:
- A strong background in Computer Science or a related field.
- Deep experience with Python, PyTorch, or TensorFlow.
- Proven track record of deploying AI models into production environments.
- Excellent communication skills to bridge the gap between technical and non-technical stakeholders.
Responsibilities
- Architect and maintain scalable AI/ML infrastructure.
- Conduct research to improve model accuracy and efficiency.
- Integrate AI APIs into web applications and internal tools.
- Mentor junior engineers and conduct code reviews.
- Define data strategies to support long-term AI growth.
Qualifications
- 5+ years of experience in software engineering or data science.
- Master's degree in AI, Machine Learning, or Computer Science preferred.
- Experience with cloud platforms (AWS, GCP, or Azure).
- Strong understanding of data structures, algorithms, and software design.
- Experience with version control (Git) and CI/CD pipelines.