Senior Engineer, Machine Learning
At a glance
Senior Machine Learning Engineering role at Seagate. Shugart.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and ship Python applications that automate research, organize competitive intelligence, and support strategy analysis
- Create AI agents that use approved data sources to run analytical workflows and improve decision support
- Maintain data pipelines for both structured and unstructured information used by strategy applications
- Test prototypes with stakeholders, track output quality, and keep human review and access controls in place
- Explain technical choices to business teams and document system design, data flows, and upkeep
What you bring
- You bring Python application development skills, including testing and maintaining software
- You have hands-on experience with language models and applied AI, including prompt design and output evaluation
- You have a relevant technical degree: an advanced degree plus two years of experience, or a bachelor's plus four
- You can work with data engineering, APIs, databases, and integrations across structured and unstructured data
Who this fits
This role suits a hands-on developer who can turn strategy teams’ needs into usable AI and software solutions. You’ll work across technical and business functions, communicate clearly with both, and use careful judgment around AI quality, privacy, security, and risk. The role is based in Shugart, Singapore, with no travel.
From the employer
About our group:
The Corporate Development & Strategy team partners across Seagate to shape enterprise strategy, evaluate growth opportunities, and support informed business decisions. We are a collaborative team that combines strategic insight, market and competitive intelligence, and technology-enabled ways of working to help translate priorities into action.
About the role - you will:
As a Strategy AI Developer, you will design, build, and support AI-enabled applications that strengthen how the Corporate Development & Strategy team conducts research, analyzes information, communicates strategy, and makes decisions. You will work at the intersection of software engineering, applied AI, data, and business strategy, partnering closely with strategy and corporate development professionals to translate business needs into practical, scalable solutions.
- Design, develop, test, and deploy Python-based applications that automate research, synthesize competitive and market intelligence, and support strategic analysis and communication.
- Build and maintain AI agents that connect with approved internal and external data sources, automate analytical workflows, and improve the speed and quality of decision support.
- Develop and maintain reliable data pipelines for structured and unstructured information used by strategy tools and AI applications.
- Apply technologies such as Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), large language models, and agentic frameworks to relevant business use cases.
- Create prototypes, evaluate technical feasibility, and iterate solutions based on stakeholder feedback, business value, usability, and scalability.
- Monitor application performance and output quality; troubleshoot issues and maintain appropriate testing, access, approval, and human-review controls.
- Partner with strategy, corporate development, technology, data, security, legal, and other teams to understand workflows, define requirements, and align solutions with enterprise standards.
- Translate technical concepts, limitations, and recommendations into clear language for technical and non-technical stakeholders.
- Document solution architecture, data flows, operating procedures, and maintenance requirements to support sustainable adoption and knowledge transfer.
- Stay current on developments in applied AI and software engineering, and recommend practical opportunities to strengthen the team’s capabilities.
About you:
- You are a hands-on developer who enjoys solving complex business problems with well-designed technology solutions.
- You combine strong engineering fundamentals with curiosity about corporate strategy, competitive dynamics, and business decision-making.
- You can work independently in an evolving environment while building alignment with stakeholders across functions and levels.
- You apply sound judgment when evaluating AI outputs, data quality, security, privacy, access, and potential failure modes.
- You communicate clearly and can translate between business requirements and technical design decisions.
- You are collaborative, accountable, and committed to continuous learning as AI technologies and enterprise standards evolve.
Your experience includes:
- Proficiency in Python and experience developing, testing, and maintaining software applications.
- Experience with data engineering, APIs, databases, data integration, and structured and unstructured data.
- Hands-on experience with large language models and applied AI solutions, including prompt design, evaluation, and production-oriented implementation.
- Experience with one or more AI development approaches or frameworks, such as RAG architectures, LangChain or similar orchestration frameworks, MCP, or agent-based applications.
- Experience applying software development practices such as version control, code review, testing, documentation, monitoring, and issue resolution.
- Ability to assess AI-generated outputs for accuracy, relevance, reliability, and business risk.
- Strong analytical, problem-solving, written, and verbal communication skills.
- Ability to partner effectively with technical and non-technical stakeholders in a global, cross-functional environment.
Education and preferred qualifications
- PhD or Master's with 2+ years of experience or Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field with 4+ years of experience.
- Demonstrated Python capability through professional experience, project work, or a portfolio of relevant applications.
- Experience building or deploying AI agents, AI-enabled applications, or automation solutions in a professional or project environment.
- Experience with cloud platforms, containerization, CI/CD practices, or enterprise application deployment is preferred.
- Exposure to corporate strategy, competitive intelligence, business analysis, finance, or corporate development is beneficial.
- Experience working within enterprise AI governance, information security, privacy, or responsible AI requirements is beneficial.
Location:
Location: Shugart, Singapore
Travel: None