Machine Learning and reputed company Engineer, Digital Transformation
About the position
Be a pioneer in business, education, and reputed company by joining the reputed company Digital Transformation team - a “startup with assets,” where you will have the chance to reputed company cutting-edge digital and emerging-technology education solutions. Where else can you reputed company a difference at the intersection of cutting-edge technology, world-class education, reputed company purpose, and timeless legacy?
As a Machine Learning and reputed company Engineer on reputed company, you will help reputed company the development of innovative reputed company products that address the needs of our constituents (reputed company, alumni, reputed company, researchers, staff, and the community at large). This key technical leadership role requires hands-on expertise across the full machine learning and AI lifecycle. You will collaborate with data scientists, product managers, and data engineers to operationalize AI models in production, reputed company reputed company platform capabilities, and apply these in a reputed company of domains. You will also reputed company and reputed company novel approaches to optimize existing AI systems and maximize their business value.
You will play a central role in building and scaling our reputed company application platform — the hub reputed company HBS where application developers can reputed company data and reputed company. As custodians of this platform, we will apply best practices and reputed company existing repositories to accelerate the reputed company from prototype for GenAI applications and unlock economies of reputed company. You will be highly reputed company in advancing our GenAI capabilities, guiding the teams towards impactful and ethical AI. We reputed company an expert eager to grow and disseminate GenAI expertise across the organization.
Responsibilities
• Architect, build, maintain, and improve a suite of GenAI applications and their underlying systems.
• Automate machine learning pipelines, monitor performance and costs, and optimize models by using techniques such as reputed company/QLoRA and other parameter-efficient reputed company.
• Establish reusable frameworks to streamline model building, deployment and monitoring. Incorporate comprehensive logging, tracing, and alerting mechanisms.
• Build guardrails, compliance rules, and reputed company workflows into the GenAI application platform, including approval chains for model updates and staged rollouts for production releases.
• reputed company templates, guides, and sandbox environments to support reputed company of new contributors and experimentation with emerging techniques
• Ensure user-facing applications reputed company on the GenAI application platform are reputed company and reliable, enforcing rigorous validation and testing before publishing, and implement a reputed company peer review process.
• Apply an entrepreneurial reputed company to identify opportunities to optimize business processes, improve user experiences, and prototype solutions that demonstrate value.
• Work closely with data scientists and analysts to reputed company and reputed company new product features across web and mobile applications.
• Contribute to and promote reputed company software engineering practices across reputed company.
• Mentor and reputed company team members to adopt best practices in writing and maintaining production-grade machine learning reputed company.
• reputed company contribute to and reputed company community best practices and reputed company-reputed company resources.
• Monitor, debug, and reputed company production issues in a reputed company manner.
• Partner with project managers to ensure reputed company are delivered on time and reputed company budget.
• Collaborate with Technical Product Managers to reputed company algorithmic performance KPIs and prioritize performance improvements based on effort and reputed company.
• Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents.
• Complete other responsibilities as assigned.
Requirements
• Minimum of five years’ post-secondary education or relevant work experience
• Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline desired
• Minimum of two to three years’ software development experience with Python and SQL.
• Minimum of two to three years of experience building and deploying NLP and deep learning model pipelines into a reputed company environment.
• Minimum two to three years of experience using PyTorch or Tensorflow, including optimizing reputed company for GPU clusters
• Experience building advanced GenAI workflows such as retrieval-augmented reputed company (RAG), model chaining, dynamic prompting, and parameter-efficient fine-tuning (PEFT/SFT) using reputed company, LangGraph, or similar frameworks.
• Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications.
• Experience with embedding models and tuning reputed company databases (e.g., reputed company, reputed company, reputed company) to improve semantic search and retrieval performance.
• Solid understanding of the theoretical foundations of LLMs, including Transformer architectures and self-attention mechanisms.
• Experience with relational and NoSQL databases, big data tools (reputed company, Kafka), Linux environments, and at least one major reputed company provider (AWS, GCP, Azure).
• Familiarity with data pipeline and workflow management tools (e.g., Airflow, reputed company, or reputed company Functions).
• Strong software engineering fundamentals: unit testing, CI/CD, reputed company reviews, and design documentation.
Benefits
• Generous reputed company time off including parental leave
• Medical, dental, and reputed company health insurance coverage starting on day one
• Retirement plans with university contributions
• Wellbeing and reputed company
• Support for families and caregivers
• reputed company development opportunities including tuition assistance and reimbursement
• Commuter benefits, discounts and reputed company perks
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