Senior Data Scientist

Our Journey So Far

We started as an Engineering, Procurement, and Construction (EPC) company driven by one mission to deliver projects that unite technical excellence, safety, and sustainability through digital intelligence. Over time, we’ve evolved from a traditional contractor into a data-driven innovation hub, connecting design, construction, and operations with cutting-edge technology. Today, our teams manage complex industrial and infrastructure projects. By embedding AI-powered analytics, digital twins, and intelligent contract systems into every phase of the EPC lifecycle, we’re building a smarter, more connected, and more transparent future for engineering.

Why Join Us

We’re entering a new era of engineering where data, AI, and collaboration redefine how projects are designed, managed, and delivered. By combining engineering expertise with digital innovation, we’re creating the next generation of EPC systems from AI-assisted design validation and smart contract analysis to real-time digital twins and project intelligence dashboards. Joining us means helping shape the digital backbone of modern infrastructure, where your ideas directly influence decisions from boardrooms to construction sites, driving safer, smarter, and more sustainable outcomes.

What You’ll Drive Forward

• Design and implement advanced AI systems including RAG pipelines, multi-agent workflows, and predictive services.
• Develop, deploy, and optimize ML models in production environments.
• Collaborate closely with scientists, engineers, and product teams to embed AI into Snapp’s core products.
• Continuously monitor, evaluate, and enhance system performance across accuracy, latency, and cost metrics.
• Explore emerging AI paradigms such as agentic systems, multi-modal models, reinforcement learning, and large language models (LLMs).
• Ensure high system reliability through robust testing, observability, and version control practices.
• Maintain clear and comprehensive documentation of architectures, data flows, and processes to promote cross-team transparency.
• Lead innovation through research and practical application of cutting-edge AI theories, techniques, and technologies.

What Powers Your Drive

• 3+ years of experience as a Data Scientist, ML Engineer, or AI Engineer, with demonstrated ownership of impactful projects.
• Strong foundation in machine learning and applied AI (LLMs, deep learning, NLP, computer vision, etc.).
• Deep understanding of the AI system lifecycle from data preprocessing and feature engineering to model training, deployment, and maintenance.
• Proficiency in Python and solid software engineering principles.
• Hands-on experience with MLOps and AI infrastructure: Docker, Kubernetes, and model-serving platforms (vLLM, Triton, or equivalents).
• Practical experience with LLM and agentic AI development including RAG architectures, fine-tuning, and frameworks like LangChain, LangGraph, MCP, or custom agent systems.
• Familiarity with evaluation frameworks such as RAGAS, TrueLens, or custom rubric-based assessments.
• Experience with large-scale data systems (SQL, ClickHouse, Spark, Redis, etc.).
• Proven ability to work autonomously, manage end-to-end project lifecycles, and thrive in fast-paced environments.
• Excellent communication skills capable of simplifying complex AI concepts for both technical and non-technical audiences.
• Strong background in experimentation, A/B testing, and statistical evaluation.
• Exposure to multi-modal AI systems, including vision-language models, OCR, and speech technologies.

Join Us
If you’re passionate about building systems that shape the future of engineering, and want your code to power real-world impact  we’d love to meet you. Join us and help redefine what’s possible in digital engineering and intelligent EPC delivery.