Machine Learning Engineer
About the role
As a Senior Machine Learning Engineer at SenzMate IoT Intelligence, you will work at the intersection of software engineering, artificial intelligence, and agentic coding. The role involves evaluating and implementing emerging AI-powered development tools, building production-ready AI solutions, and modernising complex enterprise software systems. Key responsibilities include assessing AI coding tools, running experiments on codebases, building AI-powered internal tools, architecting agent orchestration systems, and producing technical documentation. The ideal candidate will have strong hands-on experience with Python and JavaScript/TypeScript, deep knowledge of Git, experience with AI coding tools, and a proven track record in building production backend services and APIs. The position requires at least 3 years of professional experience in a senior engineering role, with experience in large-scale enterprise projects and the ability to work independently on complex problems. SenzMate is focused on delivering advanced IoT and AI technologies globally, and this role is central to their mission of innovation and enterprise transformation.
Must have
- Strong hands-on experience with Python and JavaScript/TypeScript
- Deep understanding of Git, including branching strategies, pull request workflows, merge management, and repository practices
- Hands-on, production-level experience using AI coding and agentic development tools, such as Claude Code, Cursor, GitHub Copilot, Windsurf, or similar tools
- Ability to navigate, understand, and analyse large and unfamiliar codebases across multiple programming languages, frameworks, and technology stacks
- Strong experience with CI/CD pipelines, including GitHub Actions, Jenkins, GitLab CI, or similar technologies
- Strong software architecture skills, with the ability to design, evaluate, and modify system architectures when required
- Proven experience building production backend services and APIs, rather than only scripts, experiments, or prototypes
- Strong understanding of REST APIs, database integration, service architecture, and production software development
- Experience building AI-powered applications, such as chatbots, agent orchestration systems, automated workflows, code generation systems, or AI-enabled developer tools
- Ability to design and implement reliable software solutions that integrate AI capabilities into existing systems and development workflows
- Ownership mentality: you take strategic direction and independently figure out the how, the edge cases, and the risks without detailed task breakdowns
- Excellent written English; your documentation will go directly to senior engineering leadership. It must be clear, structured, and client-ready without rewriting
- Speed – you ship 80% fast, iterate, and deliver. You don't spend three days perfecting a setup before producing anything
- Proactive communication: you flag risks, propose solutions, and surface insights without being asked
- Intellectual curiosity: you're genuinely interested in how AI is changing software development, not just executing tasks related to it
- 3+ years of professional experience in a senior software engineering, AI engineering, or closely related role
- Experience working as a senior engineer or tech lead on at least one large-scale modernisation, migration, transformation, or enterprise software project
- Strong understanding of enterprise software systems, including complex, legacy, multi-team codebases – not only clean or greenfield startup environments
- Demonstrated ability to independently understand complex technical problems and determine appropriate solutions without detailed task breakdowns
- Experience delivering software that is used and depended upon by other teams, customers, or production systems
Nice to have
- Familiarity with LLM APIs, including Claude API, OpenAI API, or similar platforms
- Experience with developer platforms such as Backstage or Spotify-style internal developer portals
- Knowledge of CLAUDE.md, AGENTS.md, and other AI agent configuration and instruction patterns
- Experience with code quality, security, SAST, and SCA tools
- Experience with AI agent frameworks, orchestration patterns, or automated software engineering workflows
- Experience working with cloud platforms and modern infrastructure environments
Technologies
- Agentic AI
- CI/CD
- Claude
- Claude Code
- Cursor
- Git
- GitHub
- GitHub Actions
- GitHub Copilot
- GitLab
- JavaScript
- Jenkins
- LLM
- Machine Learning
- OpenAI
- Python
- REST
- SAST
- TypeScript
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