Machine Learning Engineer

Recooty - Woburn, MA

Full-time

Remote - Woburn, MA

About the position

The Data Science team is responsible for providing technical leadership and implementation services for data consumption by Enterprise Analytics platforms. This hands-on role involves partnering with clients to lead transformation and modernization initiatives, focusing on delivering AI/ML solutions and building end-to-end data consumption platforms.

Responsibilities

• Partner with clients to build end-to-end Data Consumption Platforms.
• Perform exploratory data analysis, build and validate models, and deploy models into established pipelines.
• Deliver AI/ML solutions, providing thought leadership and use-case ideation.
• Establish pipelines and AI/MLOps capabilities.
• Ideate and build state-of-the-art data ecosystems for valuable insights across various sectors.
• Validate technical approaches to ensure alignment with business direction and functionality.
• Engage in hands-on projects involving real-world analytical problems using machine learning.
• Collaborate with data engineers, data scientists, project managers, and business teams to ensure alignment with business objectives.

Requirements

• Hands-on experience in AI/ML algorithm development and data analysis (NLP, time-series analysis, computer vision).
• Solid understanding of statistical methods and modeling.
• Experience with traditional ML and deep learning techniques, AI optimization, and deployment of data science applications.
• Proficiency in tools and languages such as Python, R, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter.
• Experience with Image and Text Recognition and Computer Vision applications.
• Familiarity with cloud-based data science ecosystems (AWS, Azure, GCP) and native data science tools (AWS SageMaker, Azure ML Studio).
• Experience with the software release cycle and productionizing ML or predictive analytics models at scale.

Benefits

• Rapid Career Acceleration
• One-to-One Projects
• Community Outreach
• Diverse & Inclusive Working Environment
• Paid Time Off
• 401k
• Medical, Dental, Vision
• Remote work