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

Requirements :

• 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.

Remote Work :

Yes

Employment Type :

Full-time