Senior Artificial Intelligence Engineer

Summary

Join our expanding team of motivated technologists as a Senior Intelligence Engineer! You will be a hands-on Machine Learning engineer working directly with customers to build AI/ML solutions at scale on GCP. Responsibilities include designing and executing ML projects end-to-end, collaborating with business representatives, and ensuring solutions align with business goals. You will leverage your expertise in cloud-native technologies and state-of-the-art models. Success in this role requires strategic thinking, strong communication, and the ability to connect technology with measurable business value. We are seeking a self-motivated, collaborative individual passionate about machine learning and delivering impactful results for our customers. This is a remote position.

Requirements

• Masters with 8+ years of experience or PhD with 4+ years of experience in Machine Learning, Natural Language Processing (NLP) and Deep Learning
• Minimum 5+ years of experience architecting and building Machine Learning solutions
• Minimum 5+ years of experience with GCP cloud
• Experience building ML models and strong knowledge of ML techniques is required
• Experience with hugging face, TensorFlow/pytorch, transformer architectures, prompt engineering, agentic systems, LLMs
• Strong coding experience in Python and architectural patterns like microservices
• Solid understanding of agile methodologies and experience in planning machine learning projects from inception to production deployment
• Strong problem-solving skills and the ability to lead a team on “what’s next” when encountering a technical issue in a machine learning project
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences
• Travel as per business requirements
• Candidate must be legally able to work for any employer in the US
• This role is not sponsorship eligible

Responsibilities

• Design machine learning solutions and execute machine learning projects end to end from proof-of-concept stage to deployment in production using cloud native technologies and state of the art machine learning models
• Be technically focused but work directly with the business representatives/customers to understand the requirements driving the need for a solution to be developed
• Be responsible for all phases of the project from problem definition, data annotation, model development, model deployment to end user documentation/training
• Design the architecture of ML solutions on GCP cloud platforms including MLOPs
• Stay abreast of the latest developments. Read the latest published machine learning research and adapt the models to solve customer’s problems
• Establish credibility by demonstrating technical excellence and delivering value through solutions you build. Develop strong relationships with our customers

Benefits

• $126,000 - $203,000 a year
• Work Location: Remote