Machine Learning Engineer

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.