Artificial Intelligence Engineer

Hyqoo; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A dynamic tech company is seeking a Senior AI Engineer to develop and deploy machine learning solutions that drive business outcomes. This remote position requires 6-8 years of experience in Data Science and Machine Learning, with expertise in deploying models using AKS. The ideal candidate will collaborate with cross-functional teams to ensure scalable AI applications. Join us to leverage your skills in a fast-paced environment and build impactful solutions.

Qualifications

• 6-8 years of professional experience as a Senior AI/ML Engineer or Data Scientist.
• Proven expertise in machine learning fundamentals and model evaluation.
• Hands-on experience deploying ML models on container orchestration platforms.

Responsibilities

• Apply advanced Data Science techniques to solve complex business problems.
• Design and improve ML models tailored to specific business needs.
• Deploy and manage ML applications ensuring high availability.

Skills

Data Science

Machine Learning

Communication Skills

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field

Tools

scikit-learn

TensorFlow

PyTorch

AKS (Azure Kubernetes Service)

Langchain

OpenAI

Anthropic

Cohere

Job description

Senior AI Engineer

Location: Remote

We are seeking a highly skilled Senior AI Engineer with 6-8 years of experience to join our innovative team. This role is critical in driving the development and deployment of targeted machine learning solutions that directly impact business outcomes. The ideal candidate will have a strong foundation in Data Science and Machine Learning, with hands‑on expertise in operationalizing models using modern AI frameworks and cloud‑native infrastructure. You will collaborate with cross‑functional teams to leverage rich datasets and cutting‑edge AI tooling, ensuring scalable and production‑ready AI applications.

Responsibilities

• Apply advanced Data Science techniques and Machine Learning models to solve complex business problems and enhance decision‑making processes.
• Design, build, evaluate, and continuously improve ML models tailored to specific business needs rather than large‑scale LLM deployments.
• Collaborate with stakeholders to understand data requirements and develop robust solution architectures.
• Deploy, manage, and monitor ML applications using AKS (Azure Kubernetes Service), ensuring high availability and scalability in cloud environments.
• Integrate AI capabilities leveraging frameworks such as Langchain or comparable orchestration tools to streamline AI workflows.
• Work closely with DevOps, software engineering, and product teams to ensure smooth delivery, iteration, and maintenance of AI solutions.
• Utilize LLMs and generative AI via APIs from leading providers (OpenAI, Anthropic, Cohere) to augment AI functionalities where appropriate.
• Maintain a balance between rapid prototyping and production‑grade quality standards, ensuring reliability and performance.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• 6-8 years of professional experience as a Senior AI/ML Engineer, Data Scientist, or similar role.
• Proven expertise in Machine Learning fundamentals, model development, evaluation, and statistical analysis.
• Demonstrated experience with Langchain or equivalent AI orchestration frameworks.
• Hands‑on experience deploying and managing ML models on AKS (Azure Kubernetes Service) or similar container orchestration platforms.
• Familiarity with LLMs and generative AI technologies, including fine‑tuning and API integration.
• Strong communication skills with the ability to work effectively across teams and stakeholders.
• Ability to manage multiple priorities, balancing fast‑paced innovation with production reliability.

Tools & Technologies

• Machine Learning frameworks and libraries (scikit‑learn, TensorFlow, PyTorch)
• AKS (Azure Kubernetes Service) for containerized deployment and orchestration
• Langchain or similar AI orchestration frameworks
• APIs and SDKs for major LLM providers such as OpenAI, Anthropic, and Cohere
• Cloud platforms (preferably Azure) and MLOps tools for CI/CD pipelines and model monitoring
• Data processing and visualization tools relevant to Data Science workflows

Job Details

Seniority Level: Mid‑Senior level

Employment Type: Contract

Job Function: Information Technology

Industries: IT Services and IT Consulting

Location: This position is open to remote candidates globally, with a preference for US‑based applicants due to full‑time employment constraints.

Join us to leverage your expertise in Machine Learning, Data Science, and AI engineering to build impactful, scalable AI solutions that drive business success.