3 days ago
Singapore, SingaporeSenior
Responsibilities
- Design, develop, deploy, scale, and support AI, machine learning, and generative AI solutions.
- Build and integrate LLM-powered applications into enterprise workflows.
- Develop scalable APIs and AI services from prototype through production.
- Operationalize machine learning, NLP, and AI models in collaboration with data scientists.
- Build evaluation, orchestration, and retrieval pipelines and support data preparation, model optimization, and performance improvement.
- Implement model monitoring, versioning, experiment tracking, performance management, drift detection, and observability.
- Promote responsible AI practices including explainability, governance, and risk mitigation.
- Partner with product, engineering, platform, security, and business teams to translate requirements into technical solutions.
- Contribute to engineering best practices, knowledge sharing, mentoring, and continuous improvement.
Requirements
- Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline.
- Proven experience delivering AI, machine learning, or software engineering solutions in production environments.
- Strong Python programming skills.
- Experience with SQL, Pandas, and NumPy for data processing and analytics.
- Knowledge of software development best practices, Git, and version control.
- Experience developing and deploying AI services using FastAPI, Flask, MLflow, or similar technologies.
- Hands-on experience building LLM applications with LangChain, LlamaIndex, or equivalent frameworks.
- Experience integrating foundation model APIs such as OpenAI, Anthropic, Cohere, or Mistral.
- Experience with vector or graph databases such as FAISS, Pinecone, Weaviate, or Neo4j.
- Knowledge of machine learning concepts, model deployment, and operationalization.
- Preferred experience with Scikit-learn, TensorFlow, or PyTorch; deep learning; transformers; foundation models; NLP; embeddings; RAG; language models; computer vision; prompt engineering; fine-tuning; evaluation; MLOps; model monitoring; governance; deployment; drift detection; and observability.
- Experience with Azure cloud platforms and enterprise-scale AI solutions is preferred.
- Experience in Oil & Gas, Energy, Trading, Shipping, ETRM, complex industrial environments, or regulated enterprise environments is a plus.
- Strong communication, stakeholder engagement, problem-solving, analytical, collaboration, and influencing skills, along with a delivery mindset and willingness to mentor others.
- Completion of a mandatory online assessment is required after application submission.
Benefits
- Flexible working hours and possible remote/mobile working.
- Competitive starting salary and annual performance-related salary increase; compensation figures are not specified.
- Paid parental leave, including for non-birthing parents.
- Training and development programs and diverse career opportunities in national and international teams.
- Values-led, diverse, inclusive culture with opportunities to work on energy transition challenges and at the forefront of technology.
- Collaboration with experienced colleagues and support for transferable-skill development.
Categories
About Shell
Shell is a global group of energy and petrochemical companies, employing 96,000 people across 70+ countries. We serve around 1 million commercial and industrial customers, and around 33 million customers daily at our Shell-branded retail service stations. Our purpose is to power progress together by working with each other, our customers and our partners. #PoweringProgress