Senior Machine Learning Engineer, Generative AI Applications

Senior Machine Learning Engineer, Generative AI Applications

Remote

Duties and Responsibilities :

• Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems.
• Automate machine learning pipelines and monitor and optimize machine learning solutions.
• Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance tuning, and A / B testing.
• Use your entrepreneurial spirit to identify new opportunities to optimize business processes, improve consumer experiences, and prototype solutions to demonstrate value.
• Work closely with data scientists and analysts to create and deploy new product features online and in mobile apps.
• Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation.
• Write efficient and well-organized software to ship products in an iterative, continual-release environment.
• Contribute to and promote good software engineering practices across the team.
• Mentor and educate team members to adopt best practices in writing and maintaining production machine learning code.
• Actively contribute to and re-use community best practices.
• Monitor, debug, track, and resolve production issues.
• Work with project managers to ensure that projects proceed on time and on budget.
• Collaborate with Technical Product Managers to ensure proper tracking of algorithmic performance KPIs and prioritize performance improvements based on effort and impact.
• Complete other responsibilities as assigned.

Basic Qualifications

Minimum of seven years’ post-secondary education or relevant work experience

Additional Qualifications and Skills

Other Required Qualifications :

• Minimum of seven years’ post-secondary education or relevant work experience
• Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.
• Minimum of five years’ software development experience with Python and SQL.
• Minimum of three years’ experience in developing and deploying machine learning systems into production in a cloud environment.
• Minimum of two years’ experience testing, maintaining, or launching software products and minimum of one year of experience with software design and architecture.
• Experience working with a variety of relational SQL and NoSQL databases, big data tools : Hadoop, Spark, Kafka; a Linux environment;

and at least one cloud provider solution (AWS, GCP, Azure).

• Knowledge of data pipeline and workflow management tools.
• Expertise in standard software engineering methodology, ., unit testing, test automation, continuous integration, code reviews, design documentation.

Other Preferred Qualifications :

• Experience with neural networks, deep learning, and reinforcement learning, using frameworks such as TensorFlow.
• Experience with Natural Language Processing (NLP), Large Language Models (LLMs), and / or Recommendation Engines.
• Relevant working experience with Docker and Kubernetes.

Additional Information

This role has the possibility of being a remote or hybrid position. You must reside in one of the following states : CA, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT or WA.

There may be periodic visits to our Boston, MA based campus. In a hybrid role, you are required to be onsite at our Boston, MA based campus a determined number of days per month.

Specific days and schedule will be determined between you and your manager.