As an AI Engineer at Nagish, you will focus on designing, developing, and deploying AI and machine learning solutions that directly impact communication accessibility for Deaf and hard-of-hearing individuals. You’ll work closely with engineering and product teams to create robust, scalable solutions, ensuring that your models and systems perform seamlessly in real-world production environments.
On a day-to-day basis, you will:
- Collaborate with engineering, product, and marketing teams to develop AI-driven solutions that address business challenges and improve access to communication.
- Develop, optimize, and deploy machine learning models in production environments, specializing in Large Language Models (LLMs), natural language processing (NLP), speech-to-text, text-to-speech, sentiment analysis, and audio signal processing.
- Build and maintain scalable, production-grade AI pipelines that support the integration and automation of machine learning models into live systems.
- Continuously monitor model performance and conduct regular tuning and maintenance to ensure optimal performance in production environments.
- Analyze real-time data streams, user behavior, and system performance to drive improvements and ensure that models are working effectively under various conditions.
- Design and implement dashboards, reports, and visualizations to communicate model performance and impact to both technical and non-technical stakeholders.
- Stay up-to-date with the latest advancements in AI technologies and production deployment practices to ensure the integration of cutting-edge innovations
- 6+ years of experience as an AI Engineer, ML Engineer, Data Scientist or in a similar role, with a proven track record of deploying machine learning models in production environments.
- Deep understanding of machine learning, data pipelines, and AI systems, with experience ensuring these models operate at scale in real-time environments.
- Interest in NLP, audio processing, and working with large language models (LLMs), with practical experience in production-grade implementations.
- Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or similar, with a focus on deployment and optimization.
- Strong experience deploying and maintaining AI models and data pipelines in cloud environments (e.g., GCP, AWS), ensuring high availability, scalability, and performance.
- Experience with model monitoring, logging, and troubleshooting in production to address issues in real-time.
- Experience with real-time data processing, streaming analytics, and ensuring low-latency performance in production systems - An advantage
- Dedicated to delivering exceptional user experiences.
- Continuously learn and stay updated on the latest advancements in AI, ML frameworks, and industry trends.
- Actively share insights, findings, and best practices with the team to foster a culture of continuous learning and innovation.
- Applicants must be authorized to work in the U.S. without sponsorship.
Benefits:
😁 Work on a fulfilling life-changing product (Literally)
🗝️ Join as a key player at an early-stage company at a hypergrowth stage.
🏖 Unlimited time off and sick days
🌎 Hybrid work model
👯♂️ Annual company get-togethers
🐶 Bring your pet to work
About Us:
Nagish makes communication accessible for people who are Deaf or hard of hearing.
Our team is passionate about making the world more accessible using our state-of-the-art tech - made for consumers and enterprises.
We are backed by some of the best investors out there: Canaan, Comcast, Techstars, Vertex, Precursor, Contour, Cardumen, the founders of Datadog, Looker, and more.