Note: The job is a remote job and is open to candidates in USA. Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. The AI Innovation Engineer will bridge applied research and production engineering by designing and shipping advanced machine learning systems for high-impact business problems. The role spans problem framing, experimentation, deployment, and continuous improvement of robust, scalable, and well-instrumented production pipelines.
Responsibilities
- Designing and shipping advanced machine learning systems that solve high-impact business problems
- Building robust, scalable, and well-instrumented production pipelines
- Operating across the full lifecycle from problem framing and experimentation to deployment and continuous improvement
Skills
- U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply
- We are unable to sponsor new H-1B visa petitions for this position
- Master's or PhD in Computer Science, Machine Learning, Statistics, or a closely related field; or equivalent applied experience
- Six or more years of combined research and applied ML engineering experience
- Strong proficiency in Python and modern ML frameworks such as PyTorch or JAX
- Hands-on experience training, fine-tuning, and evaluating deep learning models at non-trivial scale
- Solid grounding in mathematics, statistics, and the theoretical foundations of modern ML
- Experience taking ML models from research prototype to production with appropriate observability and safeguards
- Familiarity with distributed training, mixed-precision training, and accelerator hardware
- Strong written and verbal communication skills, including ability to explain complex methods clearly
- Demonstrated ability to read, evaluate, and adapt techniques from current research literature
- Track record of shipping impactful applied AI projects
- Published research at top-tier AI/ML venues
- Experience with large language model training, fine-tuning, or evaluation
- Familiarity with retrieval-augmented generation, agentic systems, or multimodal architectures
- Exposure to responsible AI, model evaluation, and alignment practices
- Experience contributing to open-source ML projects
Benefits
- Tremendous career growth potential
Company Overview