Job Description
We are OmniFuture Inc., a pioneering technology firm dedicated to defining the infrastructure of 2026 and beyond. We are looking for a visionary Senior Machine Learning Engineer to lead the development of next-generation generative models and autonomous systems. If you want to shape the future of AI, solve complex problems at scale, and work with world-class talent, this is your opportunity.
Why Join Us?
- Future-Ready Technology: Work on cutting-edge AI architectures designed for the demands of 2026.
- Competitive Compensation: Salary up to $240,000 plus equity and performance bonuses.
- Remote-First Culture: Flexible working arrangements with a focus on output over hours.
Key Responsibilities:
- Architect and deploy scalable machine learning pipelines for generative AI and predictive analytics.
- Collaborate with cross-functional teams (Data Science, Product, and Engineering) to translate business needs into technical solutions.
- Optimize model inference speed and reduce computational costs by 30%.
- Lead code reviews and establish best practices for MLOps and model governance.
- Research emerging trends in artificial intelligence to keep our technology stack ahead of the curve.
- Mentor junior engineers and contribute to the technical roadmap.
Qualifications:
- 5+ years of experience in Machine Learning Engineering, with a focus on Deep Learning or NLP.
- Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Strong understanding of MLOps, CI/CD, and data engineering pipelines.
- Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
- Master’s degree in Computer Science, AI, or a related field is preferred.
Responsibilities
- Architect and deploy scalable machine learning pipelines for generative AI and predictive analytics.
- Collaborate with cross-functional teams (Data Science, Product, and Engineering) to translate business needs into technical solutions.
- Optimize model inference speed and reduce computational costs by 30%.
- Lead code reviews and establish best practices for MLOps and model governance.
- Research emerging trends in artificial intelligence to keep our technology stack ahead of the curve.
- Mentor junior engineers and contribute to the technical roadmap.
Qualifications
- 5+ years of experience in Machine Learning Engineering, with a focus on Deep Learning or NLP.
- Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Strong understanding of MLOps, CI/CD, and data engineering pipelines.
- Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
- Master’s degree in Computer Science, AI, or a related field is preferred.