Offer summary

Qualifications:

BS or MS in Computer Science, Engineering, or a related field, 5+ years of experience in building and deploying Machine Learning-based software applications, Expertise in AI/ML frameworks and libraries like XGBoost and scikit-learn, Proficiency in database technologies and cloud infrastructure management..

Key responsabilities:

Collaborate in the design and development of Software as a Service offerings

Own the end-to-end implementation of AI/ML infrastructure and MLOps framework

Integrate Python-based recommendation engines with backend APIs and databases

Advise on AI/ML-related issues with engineering and product teams.

Job description

A high-growth technology company is seeking an experienced Senior AI/ML Engineer to help transform healthcare by providing a trusted single source of truth for identity across the care continuum. The mission is centered on revolutionizing healthcare through cutting-edge technology and providing robust development opportunities for employees.

Responsibilities

Collaborate in the design and development of Software as a Service offerings

Work with cross-functional teams on AI/ML software development and delivery

Design, build, test, run, and maintain Machine Learning pipelines, including model training workflows, model deployment, and model serving

Work effectively within an Agile framework to deliver new capabilities

Own the end-to-end implementation of AI/ML infrastructure and MLOps framework for model telemetry and experiment tracking

Integrate Python-based recommendation engines with backend APIs and databases

Participate in all phases of the Software Development Life Cycle: Design, new feature development, test automation, performance tuning, troubleshooting, software maintenance, CI/CD infrastructure, and service integrations

Advise and consult on AI/ML-related issues and optimizations with engineering, product, and customer experience teams

Requirements:

BS or MS in Computer Science, Engineering, or a related field

5+ years of experience in building and deploying Machine Learning-based software applications, with 7+ years of overall industry experience

Strong collaboration skills with onsite/remote teammates, utilizing agile methodologies

Expertise in various AI/ML frameworks and libraries, including XGBoost, scikit-learn, pandas, numpy, keras, huggingface, etc.

Hands-on experience in developing and deploying Python applications in production

Experience with MLOps frameworks such as MLFlow, Kubeflow, etc.

Proven experience in end-to-end ML pipeline work, including model storage, training, versioning, serving, containerization, and deployment

Proficiency in database technologies, SQL queries, and orchestration tools like Airflow

Experience managing cloud infrastructure in AWS or GCP with templating software like CloudFormation or Terraform

Strong understanding of Object-Oriented Analysis and Design principles, including Design Patterns

Familiarity with CI/CD technologies such as Jenkins, Git, SonarQube

Strong technical and analytical skills, with the ability to analyze system functionality and resolve production issues

Ability to work under pressure with tight deadlines and manage ambiguity on certain projects

Experience with systems and software architecture

Strong communication and presentation skills

NTD Software is an equal opportunity employer. We do not discriminate on the basis of age, race, color, religion or religious creed, sexual orientation, gender, gender identity, marital status, family or parental status, disability, military or veteran status, age, or any other basis protected by law. All employment decisions at NTD Software are based on a person’s merit, business needs, and role requirements.

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