TalentBurst, an Inc 5000 company

Senior Machine Learning Engineer, Generative AI Ap...

Job description

Job Title:-Senior Machine Learning Engineer

Location:- Boston MA (Hybrid Role)

Duration :- 5+ Months Contract (With Possibility of extension)

As a Machine Learning Engineer, you will collaborate with data scientists, product managers, and data engineers to operationalize machine learning models in production and manage the lifecycle of artificial intelligence algorithms on a variety of domains. You will develop and deploy Client approaches to optimize existing machine learning systems to maximize their business value.

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, e.g., 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.

TB_EN Job #: 24-01971

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