As an industry leader in construction software and ERP platforms, Trimble CMS empowers contractors worldwide. Our solutions seamlessly connect the office, team, and field by uniting essential business functions like accounting, estimating, and project management with jobsite operations. Operating on Trimble Construction One (TC1), our cloud ecosystems leverage predictive analytics and artificial intelligence to drive unprecedented project outcomes, productivity, and profitability.
What Makes This Role Great
Operating at the highest technical tier within Trimble CMS, you will have the mandate to drive multimillion-dollar, transformational AI/ML initiatives from the ground up. You will not simply manage workflows; you will design and implement the foundation for real-time distributed inference, edge AI deployments, and foundation model serving across thousands of production models. Working out of our Chennai engineering hub with executive sponsorship, you will represent Trimble at premier industry conferences, mentor high-performing staff-level engineers, establish strategic research partnerships, and lead our global transition toward autonomous MLOps and Zero Trust AI security.
Key Exciting Responsibilities
Enterprise ML Vision & Platform Architecture: Define the multi-year technical roadmap for enterprise AI/ML infrastructure, architecting unified platforms capable of serving thousands of models with sub-second latency across diverse business units.
Cutting-Edge MLOps Deployment: Implement advanced MLOps solutions, including automated hyperparameter optimization, neural architecture search (NAS), model quantization, and distributed serving architectures supporting millions of predictions.
Next-Gen AI & Foundation Models: Architect scalable infrastructure for emerging generative technologies, including Large Language Models (LLMs), multi-modal systems, prompt-engineering pipelines, and federated learning frameworks.
Observability, Self-Healing & Security: Engineer comprehensive ML observability stacks featuring custom telemetry, drift detection, automated anomaly mitigation, Zero Trust architectures, and model privacy preservation.
Strategic Governance & Centers of Excellence: Establish cross-organizational MLOps governance, compliance standards, and A/B or multi-armed bandit experimentation frameworks across multiple engineering hubs.
Executive Influence & Thought Leadership: Partner directly with C-suite leadership and product executives to align technology investments with business outcomes, while representing Trimble through patents, publications, and open-source contributions.
Essential Skills & Experience
Education: Advanced degree (Master’s or PhD) in Computer Science, Machine Learning, Engineering, or a related technical discipline (or equivalent professional experience with exceptional technical depth).
Professional Experience: 8+ years of dedicated experience in MLOps, Machine Learning Engineering, or Site Reliability Engineering (SRE), with at least 3+ years operating in senior/principal technical leadership capacities.
Large-Scale Inference Systems: Proven track record architecting and maintaining large-scale ML infrastructure serving millions of daily predictions with high availability and extreme fault tolerance.
Polyglot & Systems Mastery: Expert programming capabilities across multiple modern languages (Python, Go, Rust, Java, or C++) paired with deep expertise in distributed computing, concurrency, and performance tuning.
Multi-Cloud Transformation: Extensive experience architecting cloud solutions across AWS, Azure, or GCP, leveraging advanced AI/ML managed services while enforcing rigorous FinOps cost optimization.
ML Lifecycle & Experimentation: Deep expertise managing end-to-end ML lifecycles at scale, including automated experimentation, feature stores, model registries, and sophisticated rollout frameworks.
Modern Infrastructure Tooling: Practical mastery of advanced cloud-native infrastructure including Kubernetes, service mesh architectures (e.g., Istio), event-driven streaming (Kafka), and serverless ML pipelines.
Bonus Points For
Generative AI Systems: Direct experience operationalizing transformer architectures, foundation model fine-tuning (LoRA, QLoRA), and enterprise-grade vector database retrieval infrastructure.
Advanced Data Engineering: Familiarity with real-time streaming pipelines, Data Mesh paradigms, and privacy-preserving data analytics.
Compliance & Governance: In-depth knowledge of model explainability/interpretability frameworks, bias mitigation tools, and regulatory guidelines (GDPR, CCPA, EU AI Act).
Industry Prominence: Published academic research, registered patents, or prominent contributions to open-source MLOps toolkits.
Emerging Architectures: Familiarity with neuromorphic hardware, specialized AI accelerators (TPUs/NPUs), or quantum computing paradigms.
Logistics
Grade / Level: P4
Location: Chennai, India
Department: Construction Management Solutions (CMS)
Job Type: Full-Time
Why You'll Love Working With Us
At Trimble, we're not just a company that "does good"—we are a team dedicated to making a tangible, positive Real-World Impact. We build innovative solutions designed to solve the world's most critical challenges. From construction sites to transportation hubs, our work tangibly improves how people live, build, move, and grow.
You'll work on projects that truly matter: Our purpose-driven culture means you'll be helping to build and deliver solutions that make work faster, safer, and more sustainable for millions of people worldwide.
Collaborate with like-minded people: Our strong internal culture is a "hidden gem." You will work with a collaborative, supportive team that shares your purpose and fosters a genuine sense of belonging.
Be an owner: Trimble thrives on individuals who take initiative and embrace ownership. You'll find an entrepreneurial spirit where success is often "self-authored," empowering proactive "doers."
Enjoy true flexibility: We offer flexible work arrangements, which are a significant driver for employees joining and staying with us.
