Role: Senior AI/ML Engineer
Location: Chelsea Piers, New York City
Work Arrangement: Full-time onsite
Duration: 1 Year Contract to Conversion
Type: Right to Hire
Position Overview:
We are looking for a Senior AI/ML Engineer with strong hands-on Python, machine learning, data engineering and production AI/ML experience.
The role will support AI/ML and data-driven solutions in a higher-education technology environment. We currently has AI-enabled products covering learner support, engagement, faculty workflows and data-driven decision-making.
The candidate must therefore have recent experience working on an education, higher-education, EdTech, e-learning, LMS, student or learning platform.
Key Responsibilities
- Design and develop AI/ML solutions using Python.
- Develop machine-learning and predictive-modeling solutions.
- Build scalable data-processing and analytics pipelines.
- Work with large and complex datasets.
- Perform data analysis, feature engineering and statistical modeling.
- Develop and integrate AI/ML models into production applications.
- Work with structured and unstructured data.
- Develop solutions involving NLP, computer vision and predictive analytics where applicable.
- Build cloud-based solutions using AWS.
- Work with AWS services such as S3, EC2, Lambda, RDS, SQS, SNS and Redshift.
- Develop APIs and backend services using Python frameworks.
- Work with PostgreSQL, Oracle and SQL-based data platforms.
- Containerize applications using Docker.
- Work with Git-based CI/CD and DevOps practices.
- Troubleshoot and optimize production applications and ML solutions.
- Collaborate with software engineers, data scientists, architects and business stakeholders.
- Participate in code reviews, testing, deployment, documentation and production support.
Required Skills
- 8–10+ years of software, data or ML engineering experience
- Strong hands-on Python
- Strong hands-on Machine Learning / AI
- Recent experience working with a higher-education, EdTech, e-learning, LMS, student or learning platform
- Scikit-learn
- TensorFlow, PyTorch, Keras or similar ML frameworks
- Pandas
- NumPy
- PySpark
- Strong SQL
- PostgreSQL and/or Oracle
- AWS
- Docker
- Git
- Linux
- CI/CD
- Experience taking ML models into production
- Experience developing scalable data pipelines
- Strong understanding of software engineering principles
- Strong communication and problem-solving skills
Education / Platform Experience
Recent education-platform experience is mandatory.
The candidate should have recent hands-on experience supporting or developing technology for areas such as:
- Higher education
- Online education
- E-learning
- Learning management systems
- Student engagement
- Student enrollment
- Continuing education
- Workforce education
- University platforms
- Education data and analytics
This is particularly relevant because our products cover the learner journey from recruitment and enrollment through learning, support and completion, with AI-enabled tools and integrated data systems.
AI/ML Experience
Candidates should have actual hands-on production experience, not only coursework, research or proof-of-concept work.
Relevant experience can include:
- Predictive analytics
- NLP
- Computer vision
- Recommendation systems
- Machine-learning pipelines
- Model deployment
- AI-powered applications
- Large-scale data processing
- AI/ML integration with enterprise applications
Preferred Skills
- Generative AI / LLM experience
- NLP
- Computer Vision
- MLOps
- Databricks
- Azure
- Flask
- FastAPI
- Real-time data processing
- Data warehousing and ETL
- Java
- C++
- AI-powered education or learning applications
Candidate Requirements
- Must be able to work full-time onsite at Chelsea Piers, NYC.
- Must be available for a 1-year contract-to-hire opportunity.
- Must have recent education/EdTech platform experience.
- Must have strong production-level AI/ML experience.
- Resume must clearly demonstrate hands-on AI/ML projects and technologies.
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