AI Engineer

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, 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.